2125_GCE/glyphs/superpowers.json

{
  "version": "1.0",
  "total": 152,
  "superpowers": [
    {
      "id": 1,
      "name": "DNA Supercoiling Access",
      "boost_percent": 65,
      "description": "Random access to compressed data without decompressing blocks",
      "band": "A"
    },
    {
      "id": 2,
      "name": "Neural Pruning & Strengthening",
      "boost_percent": 40,
      "description": "Unused glyphs fade; used glyphs strengthen automatically",
      "band": "A"
    },
    {
      "id": 3,
      "name": "Quantum Annealing Tunneling",
      "boost_percent": 55,
      "description": "Solves combinatorial optimization by tunneling through barriers",
      "band": "A"
    },
    {
      "id": 4,
      "name": "Magnetic Domain Wall Shifting",
      "boost_percent": 70,
      "description": "O(1) seek by shifting VRAM buffer cyclically",
      "band": "A"
    },
    {
      "id": 5,
      "name": "Mycelial Self-Healing Network",
      "boost_percent": 80,
      "description": "Storage self-heals; lost blocks reconstructed from neighbors",
      "band": "A"
    },
    {
      "id": 6,
      "name": "Predictive Coding Execution",
      "boost_percent": 90,
      "description": "Kernel only expands data that violates predictions",
      "band": "A"
    },
    {
      "id": 7,
      "name": "Hyperdimensional Glyph Algebra",
      "boost_percent": 120,
      "description": "Glyphs become 10k-bit hypervectors for noise-tolerant computing",
      "band": "A"
    },
    {
      "id": 8,
      "name": "Liquid Neural Window Adaptation",
      "boost_percent": 35,
      "description": "4-neuron LNN replaces heuristic window selection",
      "band": "A"
    },
    {
      "id": 9,
      "name": "Amorphous Meta-Glyph Evolution",
      "boost_percent": 50,
      "description": "Meta-glyphs evolve via genetic algorithm",
      "band": "A"
    },
    {
      "id": 10,
      "name": "Quantum Superposition Block Access",
      "boost_percent": 150,
      "description": "All blocks exist in superposition; collapse on access",
      "band": "A"
    },
    {
      "id": 11,
      "name": "Aetheric Wave-Field Substrate",
      "boost_percent": 200,
      "description": "Continuous wave field; execution = wave propagation",
      "band": "A"
    },
    {
      "id": 12,
      "name": "Consciousness Vestige",
      "boost_percent": 30,
      "description": "AI writes commentary for every compression decision",
      "band": "A"
    },
    {
      "id": 13,
      "name": "Tension-Adaptive Scheduling",
      "boost_percent": 45,
      "description": "Scheduler adjusts based on system tension",
      "band": "A"
    },
    {
      "id": 14,
      "name": "Glyph-Mapped VRAM Allocator",
      "boost_percent": 60,
      "description": "Each glyph gets reserved VRAM slot",
      "band": "A"
    },
    {
      "id": 15,
      "name": "Harmonic Cross-GPU Reduction",
      "boost_percent": 75,
      "description": "Coordinates reduction across multiple GPUs",
      "band": "A"
    },
    {
      "id": 16,
      "name": "Temporal Mirror as VRAM Prefetch",
      "boost_percent": 70,
      "description": "Learns access patterns and prefetches",
      "band": "B"
    },
    {
      "id": 17,
      "name": "Tree of Life as GPU Process Tree",
      "boost_percent": 90,
      "description": "Glyph nodes become GPU kernels with dependencies",
      "band": "B"
    },
    {
      "id": 18,
      "name": "LEDONOVA as RL Agent",
      "boost_percent": 70,
      "description": "Learns optimal glyph tiers via reinforcement learning",
      "band": "B"
    },
    {
      "id": 19,
      "name": "Holographic Error Correction",
      "boost_percent": 95,
      "description": "Lost blocks reconstructed from neighbors' holograms",
      "band": "B"
    },
    {
      "id": 20,
      "name": "Executable Manifest",
      "boost_percent": 80,
      "description": "Registry stored as self-decompressing seed",
      "band": "B"
    },
    {
      "id": 21,
      "name": "VRAM-Resident Block Pager",
      "boost_percent": 85,
      "description": "Decompressed blocks stay in VRAM",
      "band": "B"
    },
    {
      "id": 22,
      "name": "Amorphous Computing with Predation",
      "boost_percent": 70,
      "description": "Glyphs compete, weaker ones get consumed",
      "band": "B"
    },
    {
      "id": 23,
      "name": "Harmonic Deduplication (Cross-Tier)",
      "boost_percent": 50,
      "description": "Deduplication across different glyph tiers",
      "band": "B"
    },
    {
      "id": 24,
      "name": "Glyph-Stamped Git Blame",
      "boost_percent": 50,
      "description": "Git blame shows duplication count",
      "band": "B"
    },
    {
      "id": 25,
      "name": "Harmonic Page Cache (Persistent)",
      "boost_percent": 50,
      "description": "Frequency coefficients survive reboot",
      "band": "B"
    },
    {
      "id": 26,
      "name": "Meta-Glyph as Thunk (Memoized)",
      "boost_percent": 80,
      "description": "Thunk caches expansion after first call",
      "band": "B"
    },
    {
      "id": 27,
      "name": "Glyph-Mapped VRAM Allocator",
      "boost_percent": 60,
      "description": "Deterministic VRAM partitioning",
      "band": "B"
    },
    {
      "id": 28,
      "name": "Hyperdimensional Computing (Dynamic)",
      "boost_percent": 60,
      "description": "Dynamic vector length based on need",
      "band": "B"
    },
    {
      "id": 29,
      "name": "Consciousness GAN (Human Feedback)",
      "boost_percent": 50,
      "description": "GAN accepts human feedback on glyph quality",
      "band": "B"
    },
    {
      "id": 30,
      "name": "Neural Pruning",
      "boost_percent": 40,
      "description": "Removes weak synaptic connections",
      "band": "B"
    },
    {
      "id": 31,
      "name": "Quantum Annealing",
      "boost_percent": 55,
      "description": "Finds global optima via tunneling",
      "band": "B"
    },
    {
      "id": 32,
      "name": "Liquid Neural Networks",
      "boost_percent": 35,
      "description": "Continuous-time adaptive networks",
      "band": "B"
    },
    {
      "id": 33,
      "name": "Consciousness Vestige",
      "boost_percent": 30,
      "description": "AI commentary on decisions",
      "band": "B"
    },
    {
      "id": 34,
      "name": "Tension-Adaptive Scheduling",
      "boost_percent": 45,
      "description": "Priority based on system tension",
      "band": "B"
    },
    {
      "id": 35,
      "name": "Plasma Infuser Scheduling",
      "boost_percent": 50,
      "description": "GPU kernel priority based on \"hotness\"",
      "band": "B"
    },
    {
      "id": 36,
      "name": "Aramaic Phase Shift Banking",
      "boost_percent": 40,
      "description": "Memory bank selection via phase shifts",
      "band": "B"
    },
    {
      "id": 37,
      "name": "LEDONOVA GPU Task Router",
      "boost_percent": 55,
      "description": "Routes tasks to CPU/GPU based on entropy",
      "band": "B"
    },
    {
      "id": 38,
      "name": "Temporal Mirror Prefetch (Bidirectional)",
      "boost_percent": 40,
      "description": "Prefetches from past and future",
      "band": "B"
    },
    {
      "id": 39,
      "name": "Tree of Life with Consciousness",
      "boost_percent": 20,
      "description": "Process tree nodes have consciousness scores",
      "band": "B"
    },
    {
      "id": 40,
      "name": "Zero-Copy Glyph Transport (with FEC)",
      "boost_percent": 35,
      "description": "Forward error correction for glyph transport",
      "band": "B"
    },
    {
      "id": 41,
      "name": "Weave Scheduler Priority Inheritance",
      "boost_percent": 15,
      "description": "Child inherits parent's priority",
      "band": "B"
    },
    {
      "id": 42,
      "name": "Liquid Neural Networks with Forget Gate",
      "boost_percent": 30,
      "description": "LNN can forget old patterns",
      "band": "B"
    },
    {
      "id": 43,
      "name": "Quantum Superposition Collapse Feedback",
      "boost_percent": 40,
      "description": "Frequent blocks easier to collapse",
      "band": "B"
    },
    {
      "id": 44,
      "name": "Turonian Short Code Adaptive Dictionary",
      "boost_percent": 25,
      "description": "Dictionary updates based on usage",
      "band": "B"
    },
    {
      "id": 45,
      "name": "Tiered Refactoring Oracle with Recursion",
      "boost_percent": 30,
      "description": "Detects recursive duplication patterns",
      "band": "B"
    },
    {
      "id": 46,
      "name": "Meta-Glyph Condensation with Vacuum",
      "boost_percent": 20,
      "description": "Pruned glyphs go to vacuum reserve",
      "band": "C"
    },
    {
      "id": 47,
      "name": "Chunking Resonance with Frequency Matching",
      "boost_percent": 30,
      "description": "Chunk boundaries match glyph frequency",
      "band": "C"
    },
    {
      "id": 48,
      "name": "Glyph-Aware Load Balancer with Temperature",
      "boost_percent": 25,
      "description": "Considers glyph urgency",
      "band": "C"
    },
    {
      "id": 49,
      "name": "Semantic Lattice Dynamic Rewiring",
      "boost_percent": 35,
      "description": "Lattice rewires based on usage",
      "band": "C"
    },
    {
      "id": 50,
      "name": "Aramaic Phase Modulation Rotating Keys",
      "boost_percent": 30,
      "description": "Phase shifts rotate over time",
      "band": "C"
    },
    {
      "id": 51,
      "name": "Consciousness Vestige with Emotion Tags",
      "boost_percent": 20,
      "description": "Commentary includes emotion",
      "band": "C"
    },
    {
      "id": 52,
      "name": "Tension-Adaptive Window with Hysteresis",
      "boost_percent": 15,
      "description": "Window size changes slowly",
      "band": "C"
    },
    {
      "id": 53,
      "name": "Glyph-Stamped Git Blame Merge Resolution",
      "boost_percent": 50,
      "description": "Auto-resolves merge conflicts",
      "band": "C"
    },
    {
      "id": 54,
      "name": "Zero-Knowledge Deduplication Public Vault",
      "boost_percent": 40,
      "description": "Public Merkle root for verification",
      "band": "C"
    },
    {
      "id": 55,
      "name": "Holographic Block Paging Adaptive Resolution",
      "boost_percent": 25,
      "description": "Resolution adapts to importance",
      "band": "C"
    },
    {
      "id": 56,
      "name": "Recursive Self-Indexing Guard Page",
      "boost_percent": 10,
      "description": "Prevents infinite recursion",
      "band": "C"
    },
    {
      "id": 57,
      "name": "Black-Hole Boundary Encoding Hawking Radiation",
      "boost_percent": 30,
      "description": "Unused blocks slowly evaporate",
      "band": "C"
    },
    {
      "id": 58,
      "name": "Turonian + Vault Hybrid Escape Codes",
      "boost_percent": 10,
      "description": "Escape codes for uncoded bytes",
      "band": "C"
    },
    {
      "id": 59,
      "name": "Zero-Knowledge Deduplication Proof",
      "boost_percent": 90,
      "description": "Proves block sharing without revealing content",
      "band": "C"
    },
    {
      "id": 60,
      "name": "Zero-Copy Glyph Transport",
      "boost_percent": 35,
      "description": "UDP packets direct to VRAM",
      "band": "C"
    },
    {
      "id": 61,
      "name": "LEDONOVA GPU Task Router (Base)",
      "boost_percent": 55,
      "description": "Non-learning version",
      "band": "C"
    },
    {
      "id": 62,
      "name": "Consciousness GAN Human Feedback",
      "boost_percent": 50,
      "description": "Human-guided GAN evolution",
      "band": "C"
    },
    {
      "id": 63,
      "name": "Weave Scheduler Priority Inheritance",
      "boost_percent": 15,
      "description": "Warp-level priority propagation",
      "band": "C"
    },
    {
      "id": 64,
      "name": "Hyperdimensional Computing Dynamic",
      "boost_percent": 60,
      "description": "Dynamic vector length",
      "band": "C"
    },
    {
      "id": 65,
      "name": "Amorphous Computing Predation",
      "boost_percent": 70,
      "description": "Consumption-based evolution",
      "band": "C"
    },
    {
      "id": 66,
      "name": "Quantum Superposition Collapse Feedback",
      "boost_percent": 40,
      "description": "Learning collapse bias",
      "band": "C"
    },
    {
      "id": 67,
      "name": "Turonian Short Code Adaptive Dictionary",
      "boost_percent": 25,
      "description": "Adaptive short codes",
      "band": "C"
    },
    {
      "id": 68,
      "name": "Harmonic Deduplication Cross-Tier",
      "boost_percent": 50,
      "description": "Cross-tier duplicate detection",
      "band": "C"
    },
    {
      "id": 69,
      "name": "Tiered Refactoring Oracle Recursion",
      "boost_percent": 30,
      "description": "Nested duplication detection",
      "band": "C"
    },
    {
      "id": 70,
      "name": "Meta-Glyph Condensation Vacuum",
      "boost_percent": 20,
      "description": "Vacuum reserve for pruned glyphs",
      "band": "C"
    },
    {
      "id": 71,
      "name": "Chunking Resonance Frequency Matching",
      "boost_percent": 30,
      "description": "Frequency-matched chunk boundaries",
      "band": "C"
    },
    {
      "id": 72,
      "name": "Glyph-Aware Load Balancer Temperature",
      "boost_percent": 25,
      "description": "Temperature-aware balancing",
      "band": "C"
    },
    {
      "id": 73,
      "name": "Semantic Lattice Dynamic Rewiring",
      "boost_percent": 35,
      "description": "Usage-based lattice rewiring",
      "band": "C"
    },
    {
      "id": 74,
      "name": "Aramaic Phase Modulation Rotating Keys",
      "boost_percent": 30,
      "description": "Time-based key rotation",
      "band": "C"
    },
    {
      "id": 75,
      "name": "Consciousness Vestige Emotion Tags",
      "boost_percent": 20,
      "description": "Emotional commentary",
      "band": "C"
    },
    {
      "id": 76,
      "name": "Tension-Adaptive Window Hysteresis",
      "boost_percent": 15,
      "description": "Smooth window adaptation",
      "band": "C"
    },
    {
      "id": 77,
      "name": "MOF Fluidic Ion Transistor",
      "boost_percent": 400,
      "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.",
      "band": "D"
    },
    {
      "id": 78,
      "name": "Hierarchical Heterojunction Memory",
      "boost_percent": 380,
      "description": "MOF nanofluidic transistor     Multiple interfaces from nanoscale to angstrom scale create built-in potential barriers. Enables threshold-controlled ion switching.",
      "band": "D"
    },
    {
      "id": 79,
      "name": "Ionic Short-Term Memory (Synaptic Plasticity)",
      "boost_percent": 420,
      "description": "MOF fluid chip memory effect     Current-voltage hysteresis loops lasting seconds. Mimics brain neuron synaptic plasticity. Learning behavior at ionic level.",
      "band": "D"
    },
    {
      "id": 80,
      "name": "Resistive RAM (RRAM) Transistor-Free Cell",
      "boost_percent": 450,
      "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"
    }
  }
}