A Physics-Informed Neural Network (PINN) pipeline that demonstrates the Dark Energy inverse problem and simulates the Quantum Vacuum Catastrophe.
Modeling the Tumor Microenvironment (TME) as a many-body gravitational system. A synthetic data engine that applies astrophysics principles (N-Body dynamics) to simulate immune-tumor topology and generate ground-truth spatial data.
Predicting traffic accident risk using Physics-Informed Feature Engineering and Advanced Stacking Ensemble (XGBoost, LightGBM, CatBoost).
Beam Weaver is a physics-informed SAC agent to implement event-by-event stochastic photon transport in water.
A flexible PyTorch Lightning framework for climate forecasting, featuring a customizable, knowledge-aligned latent diffusion model for high-resolution predictions.
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