gRNAde: Geometric Deep Learning for 3D RNA inverse design
[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simulation cost compared to conventional methods.
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Optimization and inverse design of photonic crystals using deep reinforcement learning
Silicon Photonics Design Tools.
A collection of inverse design challenges
[ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
Python library for differentiable Fourier optics simulations with PyTorch.
Efficient GPU-computing simulation for differentiable crystal plasticity finite element method
Differentiable Flexible Mechanical Metamaterials
Simulation and Optimization Library for Integrated Optics in Julia.
[Advanced Photonics Research, 2021] Control tightly focused fields via manipulating pupil functions
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
Simulation and design of shape morphing LCE lattices
Mapping properties to molecules in QM7-X
BC-Design: A Biochemistry-Aware Framework for High-Precision Inverse Protein Folding
Algorithms for inverse design
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