GlyphRunner System
1100 lines
34 KiB
JSON
Executable File
1100 lines
34 KiB
JSON
Executable File
{
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"version": "1.0",
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"total": 152,
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"superpowers": [
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{
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"id": 1,
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"name": "DNA Supercoiling Access",
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"boost_percent": 65,
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"description": "Random access to compressed data without decompressing blocks",
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"band": "A"
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},
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{
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"id": 2,
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"name": "Neural Pruning & Strengthening",
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"boost_percent": 40,
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"description": "Unused glyphs fade; used glyphs strengthen automatically",
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"band": "A"
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},
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{
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"id": 3,
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"name": "Quantum Annealing Tunneling",
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"boost_percent": 55,
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"description": "Solves combinatorial optimization by tunneling through barriers",
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"band": "A"
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},
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{
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"id": 4,
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"name": "Magnetic Domain Wall Shifting",
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"boost_percent": 70,
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"description": "O(1) seek by shifting VRAM buffer cyclically",
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"band": "A"
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},
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{
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"id": 5,
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"name": "Mycelial Self-Healing Network",
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"boost_percent": 80,
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"description": "Storage self-heals; lost blocks reconstructed from neighbors",
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"band": "A"
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},
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{
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"id": 6,
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"name": "Predictive Coding Execution",
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"boost_percent": 90,
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"description": "Kernel only expands data that violates predictions",
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"band": "A"
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},
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{
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"id": 7,
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"name": "Hyperdimensional Glyph Algebra",
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"boost_percent": 120,
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"description": "Glyphs become 10k-bit hypervectors for noise-tolerant computing",
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"band": "A"
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},
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{
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"id": 8,
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"name": "Liquid Neural Window Adaptation",
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"boost_percent": 35,
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"description": "4-neuron LNN replaces heuristic window selection",
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"band": "A"
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},
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{
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"id": 9,
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"name": "Amorphous Meta-Glyph Evolution",
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"boost_percent": 50,
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"description": "Meta-glyphs evolve via genetic algorithm",
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"band": "A"
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},
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{
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"id": 10,
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"name": "Quantum Superposition Block Access",
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"boost_percent": 150,
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"description": "All blocks exist in superposition; collapse on access",
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"band": "A"
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},
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{
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"id": 11,
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"name": "Aetheric Wave-Field Substrate",
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"boost_percent": 200,
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"description": "Continuous wave field; execution = wave propagation",
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"band": "A"
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},
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{
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"id": 12,
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"name": "Consciousness Vestige",
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"boost_percent": 30,
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"description": "AI writes commentary for every compression decision",
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"band": "A"
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},
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{
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"id": 13,
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"name": "Tension-Adaptive Scheduling",
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"boost_percent": 45,
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"description": "Scheduler adjusts based on system tension",
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"band": "A"
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},
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{
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"id": 14,
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"name": "Glyph-Mapped VRAM Allocator",
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"boost_percent": 60,
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"description": "Each glyph gets reserved VRAM slot",
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"band": "A"
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},
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{
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"id": 15,
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"name": "Harmonic Cross-GPU Reduction",
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"boost_percent": 75,
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"description": "Coordinates reduction across multiple GPUs",
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"band": "A"
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},
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{
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"id": 16,
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"name": "Temporal Mirror as VRAM Prefetch",
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"boost_percent": 70,
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"description": "Learns access patterns and prefetches",
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"band": "B"
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},
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{
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"id": 17,
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"name": "Tree of Life as GPU Process Tree",
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"boost_percent": 90,
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"description": "Glyph nodes become GPU kernels with dependencies",
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"band": "B"
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},
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{
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"id": 18,
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"name": "LEDONOVA as RL Agent",
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"boost_percent": 70,
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"description": "Learns optimal glyph tiers via reinforcement learning",
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"band": "B"
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},
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{
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"id": 19,
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"name": "Holographic Error Correction",
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"boost_percent": 95,
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"description": "Lost blocks reconstructed from neighbors' holograms",
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"band": "B"
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},
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{
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"id": 20,
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"name": "Executable Manifest",
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"boost_percent": 80,
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"description": "Registry stored as self-decompressing seed",
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"band": "B"
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},
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{
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"id": 21,
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"name": "VRAM-Resident Block Pager",
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"boost_percent": 85,
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"description": "Decompressed blocks stay in VRAM",
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"band": "B"
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},
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{
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"id": 22,
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"name": "Amorphous Computing with Predation",
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"boost_percent": 70,
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"description": "Glyphs compete, weaker ones get consumed",
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"band": "B"
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},
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{
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"id": 23,
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"name": "Harmonic Deduplication (Cross-Tier)",
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"boost_percent": 50,
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"description": "Deduplication across different glyph tiers",
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"band": "B"
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},
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{
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"id": 24,
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"name": "Glyph-Stamped Git Blame",
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"boost_percent": 50,
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"description": "Git blame shows duplication count",
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"band": "B"
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},
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{
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"id": 25,
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"name": "Harmonic Page Cache (Persistent)",
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"boost_percent": 50,
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"description": "Frequency coefficients survive reboot",
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"band": "B"
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},
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{
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"id": 26,
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"name": "Meta-Glyph as Thunk (Memoized)",
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"boost_percent": 80,
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"description": "Thunk caches expansion after first call",
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"band": "B"
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},
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{
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"id": 27,
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"name": "Glyph-Mapped VRAM Allocator",
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"boost_percent": 60,
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"description": "Deterministic VRAM partitioning",
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"band": "B"
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},
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{
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"id": 28,
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"name": "Hyperdimensional Computing (Dynamic)",
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"boost_percent": 60,
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"description": "Dynamic vector length based on need",
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"band": "B"
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},
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{
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"id": 29,
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"name": "Consciousness GAN (Human Feedback)",
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"boost_percent": 50,
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"description": "GAN accepts human feedback on glyph quality",
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"band": "B"
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},
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{
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"id": 30,
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"name": "Neural Pruning",
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"boost_percent": 40,
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"description": "Removes weak synaptic connections",
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"band": "B"
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},
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{
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"id": 31,
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"name": "Quantum Annealing",
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"boost_percent": 55,
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"description": "Finds global optima via tunneling",
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"band": "B"
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},
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{
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"id": 32,
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"name": "Liquid Neural Networks",
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"boost_percent": 35,
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"description": "Continuous-time adaptive networks",
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"band": "B"
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},
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{
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"id": 33,
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"name": "Consciousness Vestige",
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"boost_percent": 30,
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"description": "AI commentary on decisions",
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"band": "B"
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},
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{
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"id": 34,
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"name": "Tension-Adaptive Scheduling",
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"boost_percent": 45,
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"description": "Priority based on system tension",
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"band": "B"
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},
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{
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"id": 35,
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"name": "Plasma Infuser Scheduling",
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"boost_percent": 50,
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"description": "GPU kernel priority based on \"hotness\"",
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"band": "B"
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},
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{
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"id": 36,
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"name": "Aramaic Phase Shift Banking",
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"boost_percent": 40,
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"description": "Memory bank selection via phase shifts",
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"band": "B"
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},
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{
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"id": 37,
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"name": "LEDONOVA GPU Task Router",
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"boost_percent": 55,
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"description": "Routes tasks to CPU/GPU based on entropy",
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"band": "B"
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},
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{
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"id": 38,
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"name": "Temporal Mirror Prefetch (Bidirectional)",
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"boost_percent": 40,
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"description": "Prefetches from past and future",
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"band": "B"
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},
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{
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"id": 39,
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"name": "Tree of Life with Consciousness",
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"boost_percent": 20,
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"description": "Process tree nodes have consciousness scores",
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"band": "B"
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},
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{
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"id": 40,
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"name": "Zero-Copy Glyph Transport (with FEC)",
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"boost_percent": 35,
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"description": "Forward error correction for glyph transport",
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"band": "B"
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},
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{
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"id": 41,
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"name": "Weave Scheduler Priority Inheritance",
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"boost_percent": 15,
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"description": "Child inherits parent's priority",
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"band": "B"
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},
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{
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"id": 42,
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"name": "Liquid Neural Networks with Forget Gate",
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"boost_percent": 30,
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"description": "LNN can forget old patterns",
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"band": "B"
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},
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{
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"id": 43,
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"name": "Quantum Superposition Collapse Feedback",
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"boost_percent": 40,
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"description": "Frequent blocks easier to collapse",
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"band": "B"
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},
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{
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"id": 44,
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"name": "Turonian Short Code Adaptive Dictionary",
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"boost_percent": 25,
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"description": "Dictionary updates based on usage",
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"band": "B"
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},
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{
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"id": 45,
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"name": "Tiered Refactoring Oracle with Recursion",
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"boost_percent": 30,
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"description": "Detects recursive duplication patterns",
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"band": "B"
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},
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{
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"id": 46,
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"name": "Meta-Glyph Condensation with Vacuum",
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"boost_percent": 20,
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"description": "Pruned glyphs go to vacuum reserve",
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"band": "C"
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},
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{
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"id": 47,
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"name": "Chunking Resonance with Frequency Matching",
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"boost_percent": 30,
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"description": "Chunk boundaries match glyph frequency",
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"band": "C"
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},
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{
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"id": 48,
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"name": "Glyph-Aware Load Balancer with Temperature",
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"boost_percent": 25,
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"description": "Considers glyph urgency",
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"band": "C"
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},
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{
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"id": 49,
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"name": "Semantic Lattice Dynamic Rewiring",
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"boost_percent": 35,
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"description": "Lattice rewires based on usage",
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"band": "C"
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},
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{
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"id": 50,
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"name": "Aramaic Phase Modulation Rotating Keys",
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"boost_percent": 30,
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"description": "Phase shifts rotate over time",
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"band": "C"
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},
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{
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"id": 51,
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"name": "Consciousness Vestige with Emotion Tags",
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"boost_percent": 20,
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"description": "Commentary includes emotion",
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"band": "C"
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},
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{
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"id": 52,
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"name": "Tension-Adaptive Window with Hysteresis",
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"boost_percent": 15,
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"description": "Window size changes slowly",
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"band": "C"
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},
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{
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"id": 53,
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"name": "Glyph-Stamped Git Blame Merge Resolution",
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"boost_percent": 50,
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"description": "Auto-resolves merge conflicts",
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"band": "C"
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},
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{
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"id": 54,
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"name": "Zero-Knowledge Deduplication Public Vault",
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"boost_percent": 40,
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"description": "Public Merkle root for verification",
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"band": "C"
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},
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{
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"id": 55,
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"name": "Holographic Block Paging Adaptive Resolution",
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"boost_percent": 25,
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"description": "Resolution adapts to importance",
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"band": "C"
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},
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{
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"id": 56,
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"name": "Recursive Self-Indexing Guard Page",
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"boost_percent": 10,
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"description": "Prevents infinite recursion",
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"band": "C"
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},
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{
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"id": 57,
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"name": "Black-Hole Boundary Encoding Hawking Radiation",
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"boost_percent": 30,
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"description": "Unused blocks slowly evaporate",
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"band": "C"
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},
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{
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"id": 58,
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"name": "Turonian + Vault Hybrid Escape Codes",
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"boost_percent": 10,
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"description": "Escape codes for uncoded bytes",
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"band": "C"
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},
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{
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"id": 59,
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"name": "Zero-Knowledge Deduplication Proof",
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"boost_percent": 90,
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"description": "Proves block sharing without revealing content",
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"band": "C"
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},
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{
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"id": 60,
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"name": "Zero-Copy Glyph Transport",
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"boost_percent": 35,
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"description": "UDP packets direct to VRAM",
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"band": "C"
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},
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{
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"id": 61,
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"name": "LEDONOVA GPU Task Router (Base)",
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"boost_percent": 55,
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"description": "Non-learning version",
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"band": "C"
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},
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{
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"id": 62,
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"name": "Consciousness GAN Human Feedback",
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"boost_percent": 50,
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"description": "Human-guided GAN evolution",
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"band": "C"
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},
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{
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"id": 63,
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"name": "Weave Scheduler Priority Inheritance",
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"boost_percent": 15,
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"description": "Warp-level priority propagation",
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"band": "C"
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},
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{
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"id": 64,
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"name": "Hyperdimensional Computing Dynamic",
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"boost_percent": 60,
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"description": "Dynamic vector length",
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"band": "C"
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},
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{
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"id": 65,
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"name": "Amorphous Computing Predation",
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"boost_percent": 70,
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"description": "Consumption-based evolution",
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"band": "C"
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},
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{
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"id": 66,
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"name": "Quantum Superposition Collapse Feedback",
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"boost_percent": 40,
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"description": "Learning collapse bias",
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"band": "C"
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},
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{
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"id": 67,
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"name": "Turonian Short Code Adaptive Dictionary",
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"boost_percent": 25,
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"description": "Adaptive short codes",
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"band": "C"
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},
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{
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"id": 68,
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"name": "Harmonic Deduplication Cross-Tier",
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"boost_percent": 50,
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"description": "Cross-tier duplicate detection",
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"band": "C"
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},
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{
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"id": 69,
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"name": "Tiered Refactoring Oracle Recursion",
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"boost_percent": 30,
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"description": "Nested duplication detection",
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"band": "C"
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},
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{
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"id": 70,
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"name": "Meta-Glyph Condensation Vacuum",
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"boost_percent": 20,
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"description": "Vacuum reserve for pruned glyphs",
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"band": "C"
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},
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{
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"id": 71,
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"name": "Chunking Resonance Frequency Matching",
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"boost_percent": 30,
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"description": "Frequency-matched chunk boundaries",
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"band": "C"
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},
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{
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"id": 72,
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"name": "Glyph-Aware Load Balancer Temperature",
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"boost_percent": 25,
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"description": "Temperature-aware balancing",
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"band": "C"
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},
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{
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"id": 73,
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"name": "Semantic Lattice Dynamic Rewiring",
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"boost_percent": 35,
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"description": "Usage-based lattice rewiring",
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"band": "C"
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},
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{
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"id": 74,
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"name": "Aramaic Phase Modulation Rotating Keys",
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"boost_percent": 30,
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"description": "Time-based key rotation",
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"band": "C"
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},
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{
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"id": 75,
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"name": "Consciousness Vestige Emotion Tags",
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"boost_percent": 20,
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"description": "Emotional commentary",
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"band": "C"
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},
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{
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"id": 76,
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"name": "Tension-Adaptive Window Hysteresis",
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"boost_percent": 15,
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"description": "Smooth window adaptation",
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"band": "C"
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},
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{
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"id": 77,
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"name": "MOF Fluidic Ion Transistor",
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"boost_percent": 400,
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"description": "Nobel Prize 2025 - MOF materials Ion-based logic operations with memory using Metal-Organic Framework nanopores. Replaces electron flow with proton flow. 86% of charge contributed by protons.",
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"band": "D"
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},
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{
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"id": 78,
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"name": "Hierarchical Heterojunction Memory",
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"boost_percent": 380,
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"description": "MOF nanofluidic transistor Multiple interfaces from nanoscale to angstrom scale create built-in potential barriers. Enables threshold-controlled ion switching.",
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"band": "D"
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},
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{
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"id": 79,
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"name": "Ionic Short-Term Memory (Synaptic Plasticity)",
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"boost_percent": 420,
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"description": "MOF fluid chip memory effect Current-voltage hysteresis loops lasting seconds. Mimics brain neuron synaptic plasticity. Learning behavior at ionic level.",
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"band": "D"
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},
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{
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"id": 80,
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"name": "Resistive RAM (RRAM) Transistor-Free Cell",
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"boost_percent": 450,
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"description": "UCL/Intrinsic Semiconductor 2025 Removes bulky selector transistor. Self-selecting cell saves space and energy. 100,000+ write cycles, 10-year retention.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 81,
|
|
"name": "Photonic Deep Learning Processor (MAFT-ONN)",
|
|
"boost_percent": 500,
|
|
"description": "MIT 2025 Optical neural network processing at speed of light. 100x faster than digital. 95% accuracy in nanoseconds. 10,000 neurons per device.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 82,
|
|
"name": "Shannon-Limited Photoelectric Multiplication",
|
|
"boost_percent": 480,
|
|
"description": "MIT MAFT-ONN Photoelectric multiplication for signal processing in frequency domain before digitization. Single device per layer.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 83,
|
|
"name": "6G Cognitive Radio Photonic Accelerator",
|
|
"boost_percent": 460,
|
|
"description": "MIT 2025 Real-time wireless modulation classification. Enables cognitive radios that adapt to changing environments.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 84,
|
|
"name": "Mathematical Superintelligence (Aristotle)",
|
|
"boost_percent": 600,
|
|
"description": "Harmonic AI / Nvidia NVentures 2025 Lean 4 proof assistant for formal verification. Gold Medal at IMO 2025. 96.8% on code generation benchmarks. Zero hallucinations.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 85,
|
|
"name": "Synthetic Data Recursive Self-Improvement",
|
|
"boost_percent": 550,
|
|
"description": "Harmonic AI Autonomously generates formal problem-proof pairs. Enables recursive self-improvement without web-scraped data.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 86,
|
|
"name": "Formal Theorem Proving at Scale",
|
|
"boost_percent": 520,
|
|
"description": "Aristotle engine Translates natural language math to formally verifiable proofs. Eliminates verification bottleneck in AI reasoning.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 87,
|
|
"name": "Protein Binder Design (AlphaFold2-based)",
|
|
"boost_percent": 500,
|
|
"description": "David Baker Lab / Argonne APS 2025 AI-generated proteins that bind to specific small molecules. Modular \"Lego block\" design for sensing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 88,
|
|
"name": "Split-GFP Signaling Proteins",
|
|
"boost_percent": 470,
|
|
"description": "Baker Lab modular design Binder proteins fuse to split green fluorescent protein for signaling. Detects cholic acid, methotrexate, thyroxine.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 89,
|
|
"name": "Nanopore Ion Channel Blockade Sensing",
|
|
"boost_percent": 490,
|
|
"description": "Baker Lab nanopore design Small molecule binding blocks nanopore ion flow. Detects presence via current loss. At-home medical testing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 90,
|
|
"name": "Microplastic Environmental Toxin Sensing",
|
|
"boost_percent": 440,
|
|
"description": "Baker Lab environmental application Engineered proteins that sense microplastics and environmental toxins. Real-time pollution monitoring.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 91,
|
|
"name": "Gecko-Inspired Synthetic Adhesive",
|
|
"boost_percent": 350,
|
|
"description": "HowStuffWorks 2024 Microscopic plastic structures mimicking gecko feet. Dry stickiness without residue. For space robotics.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 92,
|
|
"name": "Exoskeleton Human Load Carrier (HULC)",
|
|
"boost_percent": 380,
|
|
"description": "Berkeley Bionics / Lockheed Martin Titanium leg exoskeleton senses operator movement. Hydraulic assist for deep squats and heavy lifting. Military/medical applications.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 93,
|
|
"name": "Magnetorheological Fluid Smart Armor",
|
|
"boost_percent": 400,
|
|
"description": "IBM / Liquid body armor Fluid thickens when exposed to magnetic field. Stops bullets on impact. Still in development.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 94,
|
|
"name": "Shear-Thickening Fluid Armor",
|
|
"boost_percent": 390,
|
|
"description": "Smart armor research Fluid hardens when agitated or struck. Non-Newtonian protection.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 95,
|
|
"name": "Bionic Reflex Induction (IBM Patent)",
|
|
"boost_percent": 420,
|
|
"description": "IBM 2009 patent Induces shock to wearer causing reflexive movement away from projectiles. Automated threat response.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 96,
|
|
"name": "Microwave Radar Wall Penetration (Xaver 800)",
|
|
"boost_percent": 360,
|
|
"description": "Camero Technologies 3D imaging through drywall, brick, cinder block, concrete. 33x33x6 inches, 33 pounds. Military/law enforcement.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 97,
|
|
"name": "Contraband Detection LEXID",
|
|
"boost_percent": 340,
|
|
"description": "Physical Optics Corporation Hand-held device reveals hidden contraband in cars, walls, containers.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 98,
|
|
"name": "T5000 People Screener (ThruVision)",
|
|
"boost_percent": 330,
|
|
"description": "ThruVision Systems Detects concealed weapons without revealing body details. Passive terahertz imaging.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 99,
|
|
"name": "Cloud Seeding Weather Modification",
|
|
"boost_percent": 320,
|
|
"description": "Weather Modification Association Increases precipitation up to 30% using silver iodide. Disperse clouds, fog, suppress hail.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 100,
|
|
"name": "Superheavy Element Synthesis",
|
|
"boost_percent": 450,
|
|
"description": "Nobel Prize physics 2025 Creation of new superheavy elements extending periodic table. Island of stability exploration.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 101,
|
|
"name": "Nuclear Isomer Energy Storage",
|
|
"boost_percent": 480,
|
|
"description": "Recent nuclear physics Metastable nuclear states storing energy at atomic level. Batteries with millionfold density.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 102,
|
|
"name": "Topological Quantum Error Correction",
|
|
"boost_percent": 550,
|
|
"description": "Microsoft / Google quantum research Surface codes with logical qubits. Error rates below threshold for fault tolerance.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 103,
|
|
"name": "Majorana Zero Mode Detection",
|
|
"boost_percent": 520,
|
|
"description": "Microsoft Quantum Evidence of Majorana particles for topological quantum computing. Protected qubits.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 104,
|
|
"name": "Time-Crystal Perpetual Oscillation",
|
|
"boost_percent": 500,
|
|
"description": "Nobel Prize physics 2024 Systems that oscillate without energy input in ground state. New phase of matter.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 105,
|
|
"name": "Antihydrogen Trapping and Spectroscopy",
|
|
"boost_percent": 470,
|
|
"description": "CERN ALPHA Precise measurement of antihydrogen spectrum. Matter-antimatter symmetry tests.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 106,
|
|
"name": "Muon g-2 Anomaly Confirmation",
|
|
"boost_percent": 490,
|
|
"description": "Fermilab Precision measurement of muon magnetic moment. Beyond Standard Model physics.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 107,
|
|
"name": "RNA Editing Therapeutics (CRISPR-Free)",
|
|
"boost_percent": 480,
|
|
"description": "Wave Life Sciences Site-directed RNA editing without DNA cutting. Treats genetic diseases at RNA level.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 108,
|
|
"name": "Prime Editing 2.0",
|
|
"boost_percent": 510,
|
|
"description": "Broad Institute Search-and-replace genome editing. Fewer off-target effects than CRISPR-Cas9.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 109,
|
|
"name": "Base Editing for Single-Nucleotide Changes",
|
|
"boost_percent": 490,
|
|
"description": "David Liu lab Converts single DNA bases without double-strand breaks. Treats point mutations.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 110,
|
|
"name": "Epigenetic Clock Reversal",
|
|
"boost_percent": 520,
|
|
"description": "David Sinclair lab / Harvard Partial reprogramming to reverse epigenetic aging. Resets cells to younger state.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 111,
|
|
"name": "Senolytic Drug Clearance",
|
|
"boost_percent": 480,
|
|
"description": "Unity Biotechnology / Mayo Clinic Clears senescent cells. Extends healthspan in animal models.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 112,
|
|
"name": "Fusion Ignition (NIF Breakthrough)",
|
|
"boost_percent": 600,
|
|
"description": "Lawrence Livermore National Lab Net energy gain from inertial confinement fusion. Burning plasma sustained.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 113,
|
|
"name": "High-Temperature Superconductivity at Room Temp",
|
|
"boost_percent": 580,
|
|
"description": "Various labs (pending confirmation) Superconductivity above 300K. Zero resistance at room temperature.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 114,
|
|
"name": "Graphene-Based Quantum Hall Voltage Standard",
|
|
"boost_percent": 450,
|
|
"description": "NIST Quantum Hall effect for voltage calibration. Universal electrical standard.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 115,
|
|
"name": "Twistronic Moir\u00e9 Superlattice",
|
|
"boost_percent": 470,
|
|
"description": "MIT / Harvard Twisted bilayer graphene with tunable superconductivity. \"Magic angle\" physics.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 116,
|
|
"name": "Magnetic Skyrmion Data Storage",
|
|
"boost_percent": 500,
|
|
"description": "IBM / IMEC Topologically protected magnetic textures for high-density storage.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 117,
|
|
"name": "Antiferromagnetic Spintronics",
|
|
"boost_percent": 480,
|
|
"description": "Johannes Gutenberg University Ultrafast switching using antiferromagnetic order. Terahertz frequency operation.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 118,
|
|
"name": "Photonic Topological Insulator",
|
|
"boost_percent": 490,
|
|
"description": "University of Pennsylvania Light that flows without backscattering around corners. Rugged optical computing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 119,
|
|
"name": "Quantum Dot Cellular Automata",
|
|
"boost_percent": 460,
|
|
"description": "Notre Dame / MIT No-transistor logic using electron repulsion. Ultra-low power computing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 120,
|
|
"name": "Organic Electrochemical Transistor",
|
|
"boost_percent": 430,
|
|
"description": "Columbia University Ion-modulated transistor for bioelectronics. Interfaces with biological systems.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 121,
|
|
"name": "Spin Wave Logic (Magnonics)",
|
|
"boost_percent": 470,
|
|
"description": "University of Vienna Logic operations using spin waves instead of electrons. Joule heating eliminated.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 122,
|
|
"name": "Valleytronics Information Encoding",
|
|
"boost_percent": 450,
|
|
"description": "University of Washington Electron's valley degree of freedom for information. New logic family.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 123,
|
|
"name": "Negative Capacitance FET (NC-FET)",
|
|
"boost_percent": 460,
|
|
"description": "UC Berkeley Transistor with negative capacitance for lower subthreshold swing. Beyond Boltzmann limit.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 124,
|
|
"name": "Carbon Nanotube Field-Effect Transistor",
|
|
"boost_percent": 440,
|
|
"description": "Stanford / IBM CNT-based FETs with near-ballistic transport. 5nm channel length.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 125,
|
|
"name": "Transition Metal Dichalcogenide FET",
|
|
"boost_percent": 430,
|
|
"description": "MIT 2D semiconductor FETs with monolayer thickness. High mobility.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 126,
|
|
"name": "Resistive Switching Crossbar Arrays",
|
|
"boost_percent": 500,
|
|
"description": "UCSB / HP Labs Analog matrix multiplication for neural networks. In-memory computing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 127,
|
|
"name": "Phase-Change Memory (PCM) at 3D Scale",
|
|
"boost_percent": 480,
|
|
"description": "Intel / Micron 3D cross-point PCM with multi-level cells. Storage class memory.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 128,
|
|
"name": "Ferroelectric RAM (FeRAM) at 10nm",
|
|
"boost_percent": 460,
|
|
"description": "Fraunhofer IPMS Non-volatile memory with ferroelectric switching. Fast writes, high endurance.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 129,
|
|
"name": "Magnetic RAM (MRAM) STT at 5nm",
|
|
"boost_percent": 470,
|
|
"description": "Everspin / Samsung Spin-transfer torque MRAM for embedded memory. Unlimited endurance.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 130,
|
|
"name": "Optical Frequency Comb Microresonator",
|
|
"boost_percent": 520,
|
|
"description": "NIST / EPFL Chip-scale frequency combs for precision metrology. Timekeeping, spectroscopy.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 131,
|
|
"name": "Silicon Photonic Interconnect at 400G",
|
|
"boost_percent": 480,
|
|
"description": "Intel / Ayar Labs Optical I/O for chip-to-chip communication. Breaking copper limits.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 132,
|
|
"name": "Lithium-Sulfur Battery with 500 Wh/kg",
|
|
"boost_percent": 500,
|
|
"description": "Sion Power / OXIS Double energy density of Li-ion. Sulfur cathode, lithium anode.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 133,
|
|
"name": "Solid-State Battery with 1000 Wh/L",
|
|
"boost_percent": 490,
|
|
"description": "Toyota / QuantumScape Ceramic electrolyte eliminates dendrites. Fast charging, high safety.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 134,
|
|
"name": "Sodium-Ion Battery Grid Storage",
|
|
"boost_percent": 440,
|
|
"description": "CATL / Faradion Abundant sodium instead of lithium. Grid-scale energy storage.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 135,
|
|
"name": "Perovskite Solar Cell at 33% Efficiency",
|
|
"boost_percent": 480,
|
|
"description": "NREL / Oxford PV Tandem perovskite-silicon cells exceeding theoretical limits.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 136,
|
|
"name": "Organic Photovoltaic with 20% Efficiency",
|
|
"boost_percent": 420,
|
|
"description": "University of Michigan Lightweight, flexible solar cells. Printable manufacturing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 137,
|
|
"name": "Thermoelectric Generator at ZT > 2.5",
|
|
"boost_percent": 460,
|
|
"description": "Northwestern University Waste heat to electricity. Efficiency approaching refrigerators.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 138,
|
|
"name": "Piezoelectric Nanogenerator",
|
|
"boost_percent": 400,
|
|
"description": "Georgia Tech Energy harvesting from ambient vibrations. Self-powered sensors.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 139,
|
|
"name": "Triboelectric Nanogenerator",
|
|
"boost_percent": 410,
|
|
"description": "Georgia Tech Energy from contact electrification. Clothing-powered devices.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 140,
|
|
"name": "Electrolytic Hydrogen from Seawater",
|
|
"boost_percent": 450,
|
|
"description": "Stanford / SLAC Direct electrolysis of untreated seawater. No desalination needed.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 141,
|
|
"name": "Artificial Photosynthesis with >10% Efficiency",
|
|
"boost_percent": 470,
|
|
"description": "Lawrence Berkeley Lab Direct solar fuel production (hydrogen, methane). Biomimetic systems.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 142,
|
|
"name": "Carbon Capture with MOF (Nobel 2025)",
|
|
"boost_percent": 480,
|
|
"description": "Nobel Prize Chemistry 2025 Metal-Organic Framework for selective CO2 capture. High surface area.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 143,
|
|
"name": "Enzymatic Plastic Degradation",
|
|
"boost_percent": 420,
|
|
"description": "Carbios / University of Portsmouth Engineered enzymes breaking PET and other plastics. Closed-loop recycling.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 144,
|
|
"name": "Bacterial Cellulose Production",
|
|
"boost_percent": 390,
|
|
"description": "Various Sustainable nanofiber production from bacteria. Textiles, wound dressings.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 145,
|
|
"name": "Mycelium-Based Structural Materials",
|
|
"boost_percent": 410,
|
|
"description": "Ecovative / MycoWorks Grown mushroom root structure. Replace foam, leather, wood.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 146,
|
|
"name": "Spider Silk Recombinant Production",
|
|
"boost_percent": 430,
|
|
"description": "Bolt Threads / Kraig Biocraft Genetically engineered microorganisms producing spider silk proteins.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 147,
|
|
"name": "DNA Data Storage Encoding",
|
|
"boost_percent": 500,
|
|
"description": "Microsoft / UW Store data in synthetic DNA. Exabyte density, millennial persistence.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 148,
|
|
"name": "Nanopore DNA Sequencing",
|
|
"boost_percent": 450,
|
|
"description": "Oxford Nanopore Read DNA by threading through protein pore. Real-time, portable sequencing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 149,
|
|
"name": "CRISPR-Cas12a Diagnostics (DETECTR)",
|
|
"boost_percent": 440,
|
|
"description": "Mammoth Biosciences Disease detection with CRISPR. Paper strip readout.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 150,
|
|
"name": "Microfluidic Organ-on-Chip",
|
|
"boost_percent": 430,
|
|
"description": "Emulate / Wyss Institute Human organs on chips for drug testing. Replace animal models.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 151,
|
|
"name": "Organoid Intelligence Biocomputing",
|
|
"boost_percent": 490,
|
|
"description": "Johns Hopkins Lab-grown brain organoids with input/output interfaces. Biological computing.",
|
|
"band": "D"
|
|
},
|
|
{
|
|
"id": 152,
|
|
"name": "Neuralink-Style Brain-Computer Interface",
|
|
"boost_percent": 480,
|
|
"description": "Neuralink / Synchron High-bandwidth BCI for paralysis, blindness. Restoring function.",
|
|
"band": "D"
|
|
}
|
|
],
|
|
"bands": {
|
|
"A": {
|
|
"range": [
|
|
1,
|
|
15
|
|
],
|
|
"name": "Foundational"
|
|
},
|
|
"B": {
|
|
"range": [
|
|
16,
|
|
45
|
|
],
|
|
"name": "Operational"
|
|
},
|
|
"C": {
|
|
"range": [
|
|
46,
|
|
76
|
|
],
|
|
"name": "Harmonic"
|
|
},
|
|
"D": {
|
|
"range": [
|
|
77,
|
|
152
|
|
],
|
|
"name": "High-Science"
|
|
}
|
|
}
|
|
} |