{ "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" } } }