Applied Physics Intelligence
Neoamorfic™ Engines are domain-specific instruments built on the QEIv15™ entropy-physics core. Each engine delivers deterministic structural insight—for brain, climate, space, biology, markets and machines—without models, training, or statistics.
Brain & Health
EEG Entropy Engine
Structural neuromarkers from EEG: entropy, coherence and stability.
Explore →Climate & Energy
CO₂ Structural Engine
Multiscale structure and regime shifts in atmospheric CO₂ and climate signals.
Explore →Space & Flight
AELIE™
Atmospheric entry & launch instability analysis using entropy dynamics.
Explore →Biology & Life Systems
Protein Φ-Folding Engine
Thermodynamic stability and structural fields for proteins and peptides.
Explore →Markets & Portfolios
QaaFS™
Physics-driven market entropy and structural risk, beyond correlation.
Explore →Motion & Machines
F1 Driver Entropy Engine
Telemetry structure and stability signatures for high-speed systems.
Explore →Brain & Health
Engines for neural structure, cognitive states, and clinical stability, built for EEG and related biosignal data. Designed for neuroscience labs, sleep centers, neurology clinics, and cognitive science research.
EEG Entropy Engine
AvailableEngineered for: Neuroscience labs, sleep research centers, neurology & cognitive science groups.
A physics-first EEG engine computing entropy, ΔS, φ-field and coherence structure over multi-channel recordings. It reveals structural neuromarkers for cognitive load, seizure precursors, sleep-state stability and connectivity breakdown.
- Per-channel and multichannel entropy S & ΔS
- Curvature κ and φ-field mapping over time
- Cross-channel coherence and coupling
- Multi-scale stability signatures
Coming soon / beta engines in this domain:
- Neuro-State Dynamics Engine (consciousness & state transitions)
- Sleep Stability Engine (sleep stage and structural fragmentation)
- Brain-Coherence Atlas Engine (long-term patient / cohort structure)
Climate & Energy
Engines for atmospheric, climate, and geophysical signals. Designed for climate scientists, Earth observatories, environmental analytics groups, and research institutes.
CO₂ Structural Engine
AvailableEngineered for: Climate labs, Earth observatories, environmental analytics and policy teams.
Analyzes atmospheric CO₂ and related climate series through entropy, multiscale structure and φ-fields. Identifies long-term trends, persistent anomalies and structural regime changes without relying on statistical forecasts.
- Multi-scale entropy signatures of CO₂ and climate indices
- Regime shift indicators using ΔS and λ stability metrics
- Structural anomaly detection in long historical records
- Validation layer for climate models via structural comparison
Coming soon / beta engines in this domain:
- Climate Regime Stability Engine (ENSO, AMOC and circulation regimes)
- Cloud Morphogenesis Engine (cloud field structure and transitions)
- Hurricane Structural Engine (storm entropy and trajectory stability)
Space & Flight
Engines for atmospheric entry, launch trajectories, and orbital structures. Designed for space agencies, launch providers, aerospace research labs and capsule test programs.
AELIE™ (Atmospheric Entry / Launch Instability Engine)
In development (priority)Engineered for: Spaceflight and aerospace organizations, capsule designers, rocket and booster teams.
Maps aerodynamic stress, turbulence onset and structural instability along ascent/descent profiles using entropy gradients (ΔS), φ-fields and Lyapunov-style stability analysis.
- Entropy-based stress envelope during launch and re-entry
- Stability divergence λ across trajectory phases
- Proximity to turbulent / failure regimes
- Support for envelope design and safety margins
Coming soon / beta engines in this domain:
- Orbital Manifold Stability Engine
- Space Weather Entropy Engine
- Trajectory Φ-Field Engine
Biology & Life Systems
Engines for structural bio-physics: proteins, genomes and cells. Designed for biotech, pharma, structural biology labs and life-science research groups.
Protein Φ-Folding Engine
In developmentEngineered for: Protein designers, structural biology labs, drug discovery and peptide research teams.
Uses φ-fields, entropy and stability dynamics to characterize thermodynamic stability and structural basins of proteins and novel peptides—without relying on AI sequence models.
- Entropy and φ-field mapping across conformational states
- Stability signatures for novel sequences
- Comparative analysis of folding landscapes
- Integration as a structural layer for protein design workflows
Coming soon / beta engines in this domain:
- Genomic Entropy Engine
- Cell Morphodynamic Engine
- Bio-Phase Transition Engine
Markets & Portfolios
Engines for structural risk, entropy regimes and cross-asset behavior. Designed for hedge funds, family offices, risk teams and macro research desks.
QaaFS™ Physics Engine
In developmentEngineered for: Hedge funds, family offices, institutional investors, systemic risk analysts.
Analyzes market series via entropy S, ΔS, curvature κ and cross-asset coherence, to reveal true structural regimes and misalignments—beyond correlation and classical volatility models.
- Entropy regimes across single instruments and baskets
- Cross-asset entropy and coherence mapping
- Systemic stress build-up detected via ΔS
- Support for regime-aware allocation and hedging decisions
Coming soon / beta engines in this domain:
- Volatility Curvature Engine
- Systemic Risk Entropy Engine
- Phase-Transition Markets Engine
Motion & Machines
Engines for telemetry, robotics, mechanical systems and high-speed dynamics. Designed for motorsport teams, robotics labs and autonomous systems groups.
F1 Driver Entropy Engine
In developmentEngineered for: Motorsport teams, driver performance engineers, high-speed systems researchers.
Analyzes driver–vehicle telemetry using entropy and ΔS to quantify stability, performance consistency and structural transitions over a lap, stint, or season.
- Entropy and stability profiles over telemetry signals
- Detection of structural changes in driving style
- Braking / cornering regime shifts
- Early indicators of mechanical or sensor issues
Coming soon / beta engines in this domain:
- Robotic State Entropy Engine
- Mechanical System Transition Engine
- Autonomous Control Stability Engine
Compute & Integration Engines
Some applications require Physics Intelligence to wrap existing AI or high-performance compute stacks. For this, neoamorfic provides an optional integration layer built on QEIv15 and exposed through X-40.
X-40™ Structural Bridge
An optional Physics Attention Layer used to connect the deterministic QEIv15 kernel to external AI and compute systems (LLMs, ML pipelines, GPU/TPU kernels). X-40 does not replace QEIv15; it wraps probabilistic systems with structural physics for monitoring, scoring and gating based on entropy and stability.
System Coherence & Entropy Engine
Identifies subtle, physics-based degeneration and drift indicators (ΔS) in large-scale distributed systems and HPC environments. Designed to prevent cascade failures and maintain computational coherence under heavy load— across GPUs, TPUs, CPUs and distributed architectures.