Curated list of inverse design projects for photonics. Including FDTD and FDFD solvers, tutorials, challenges, as well as key papers and reviews. 🚀
[IEEE Trans. Ind. Inform.] Official implementation for "Synergistic Physics-Data Constrained Diffusion Model for Surface Thermal Management of Press-Pack IGCTs"
[PLDI 2026] Evolving Abstract Transformers for Gradient-Guided, Adaptable Abstract Interpretation
Explainable AI for time series: gradient-based counterfactual generation for the non-differentiable Random Shapelet Forest, using PyTorch surrogate models (Feedforward, LSTM, CNN, Transformer) and a Streamlit UI. Research internship, DSV — Stockholm University.
Numerical Optimization Algorithms(MECH 579) - Coding From Scratch
🛠 Curate and explore top tools and resources for inverse design of photonic devices, aiding engineers and physicists in advanced simulation and optimization.
Build and optimize complex programs and algorithms using gradient-based methods through differentiable programming.
Physics-based AI optimization for inverse design: benchmarking gradient-based vs gradient-free optimizers on a fully differentiable JAX FEM for magnetic components
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