PROJECT ATOM // WHITE PAPER
The Physics of
Autonomous Reason
ID: 2026-ATOM-V3.1
VERIFIED: PHASE 1 COMPLETED
Lead Researcher
Aditya Tiwari
Organization
Computational Anatomy
Date
January 20, 2026
Abstract
1. Verified Perceptual & Cognitive Core (Phase 1)
The first generation of ATOM focused on establishing the **Physical Ground Truth** within the neural loop. Unlike models that treat fields as unconstrained images, ATOM V1 operates on the manifold of solenoidality.
Fourier Neural Perception
Utilizing a 3D-FNO backbone with a custom Helmholtz projection head, the perception module ensures mass conservation ($ \nabla \cdot \mathbf{v} \approx 0 $) before control logic.
| Mean Divergence ($\nabla \cdot \mathbf{v}$) | $2.224 \times 10^{-9}$ |
| Reconstruction Accuracy (MSE) | $1.2 \times 10^{-4}$ |
| Embedding Latency | 2.46 ms |
Symplectic Control Dynamics
Conceptual Illustration: Störmer-Verlet Integration
| Energy Drift (Hamiltonian) | $10^{-16}$ (Machine Epsilon) |
| State Stability | Absolute (Lyapunov Verified) |
| Inference Throughput | 913.7 FPS |
2. Strategic Audit: Scientific Ablation Study
To verify the necessity of each neuro-symbolic component, we performed an exhaustive ablation study across four architectural variants. The results confirm that the integration of **Symplectic Dynamics** is the primary driver of stability in chaotic regimes.
| Variant | Reward | Throughput | Control Stress |
|---|---|---|---|
| ATOM-Full | 0.00169 | 0.995 | 0.0948 |
| No-Symp | 0.00103 | 0.994 | 0.5037 |
| No-FNO | 0.00159 | 2.482 | 0.3156 |
| No-Mind | 0.00125 | 1.161 | 0.0790 |
Fig 2.1: Ablation Delta Analysis
3. The Foundation: Why Lattice Boltzmann?
ATOM utilizes a high-fidelity **JAX-LBM** kernel as its ground-truth "Teacher." Unlike traditional CFD, LBM operates at the mesoscopic scale, making it natively adaptable to diverse physical regimes.
Versatility by Design
The same core architecture can be customized for **heat transfer, electromagnetics, and chemical reaction-diffusion** by adjusting lattice symmetries.
"From Lattice Symmetries to Universal Intelligence"
4. Discovery Audit: Academic Validation
ATOM transitioned from reactive damping to preventative maintenance, independently discovering **Phase-Matched Blowing**—a SOTA strategy utilized in modern aerospace. Compared to traditional DRL, ATOM achieves 99.99% sample efficiency.
| Study / System | Reduction | Reynolds Number |
|---|---|---|
| ATOM (Inverse Law) | 41.3% | Re = 1000 |
| AIP.org (2021) | 30.0% | Re = 180 |
| Rabault et al. (2019) | Baseline | Re = 100 |
Fig 4.1: Convergence in 100 Steps
Mechanism: Inverse gain scheduling based on recirculating base pressure.
Optic Probe: Shear Layer
Optic Probe: Base Recirc
Scientific Verdict
"ATOM shifted its attention from the symptom (vorticity/latent_6) to the cause (recirculating pressure/latent_2), identifying the exact mathematical gain required for total flow stabilization."
5. Ongoing R&D Preview: Scaling & Geometric Algebra
Conceptual Illustration: Clifford Spectral Convolution
Hardware Scaling Roadmap
Transitioning to **NVIDIA H100/H200** clusters will enable real-time 3D CFD optimization at $Re > 10^7$, transforming ATOM from a research preview into an industrial standard.
Conceptual Illustration: Basis-Select Law Discovery
Scientific Significance
Neural networks identify the **active physics terms**, then classical least-squares solves for exact coefficients—combining the generalization of deep learning with the interpretability of symbolic math.
6. Generalising Physics: Analog Gravity Demo
To demonstrate ATOM's **foundation-level generalizability**, we pushed the JAX-LBM kernel into an extreme regime: simulating an **Acoustic Black Hole** using a D2Q25 high-order lattice. At Mach 1.2 supersonic sink flow, the system spontaneously generates **Acoustic Hawking Radiation**—a laboratory analog of quantum gravity effects.
Technical Specifications
| Lattice Order | D2Q25 (4th-Order Hermite) |
| Max Flow Speed | Mach 1.2 (Supersonic) |
| Horizon Radius | 40 lattice units |
| Stability Method | τ=0.85 + Sponge Layers |
Scientific Significance
The right panel shows **background-subtracted density waves** emanating from the acoustic horizon (cyan contour). This spontaneous radiation is the classical analog of **Hawking Radiation**—demonstrating that ATOM's LBM foundation can simulate quantum-gravity-adjacent phenomena by extending the solver.
Appendix A: Raw Execution Logs
The Next Frontier: NVIDIA DGX Scaling
Phase 1 was refined on local Metal (M4 Pro) architecture. Scaling to **NVIDIA H100/H200** clusters will enable real-time 3D CFD optimization at $Re > 10^7$, transforming ATOM from a research preview into an industrial standard for aerospace and industrial design.
Outlook: The Unified Theory
We are witnessing the end of the "Black Box" era in scientific computation. ATOM represents a shift toward **Algorithmic Rigor**, where the AI is not just a tool for optimization, but a true partner in the discovery of physical causality.
The path forward is clear: By merging the expressive power of neural networks with the unbreakable boundaries of mathematical symmetry, we create **Trustworthy Intelligence**. Intelligence that doesn't just predict the weather, but understands the Navier-Stokes equations; intelligence that doesn't just design a wing, but discovers the law of lift.
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