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"
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.
[PLDI 2026] Evolving Abstract Transformers for Gradient-Guided, Adaptable Abstract Interpretation
Numerical Optimization Algorithms(MECH 579) - Coding From Scratch
Optimization algorithms with testing function
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
🛠 Curate and explore top tools and resources for inverse design of photonic devices, aiding engineers and physicists in advanced simulation and optimization.
Measuring where a rigid-wing aerodynamic gradient stops being a useful basis for designing a flexible wing.
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