gRNAde: Geometric Deep Learning for 3D RNA inverse design
[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
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.
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
Efficient GPU-computing simulation for differentiable crystal plasticity finite element method
Differentiable Flexible Mechanical Metamaterials
Python library for differentiable Fourier optics simulations with PyTorch.
Simulation and Optimization Library for Integrated Optics in Julia.
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
Inverse design of Plasmonic Metasurfaces with Bidirectional Adversarial AutoEncoder
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