gRNAde: Geometric Deep Learning for 3D RNA inverse design
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Updated
Jun 4, 2024 - Jupyter Notebook
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".
Optimization and inverse design of photonic crystals using deep reinforcement learning
Silicon Photonics Design Tools.
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.
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
[ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation
A collection of inverse design challenges
Simulation and Optimization Library for Integrated Optics in Julia.
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
Mapping properties to molecules in QM7-X
Exposing Algorithmic Bias with Canonical Sets
Genetic Lookup for Apt Substances
Inverse Design of PIC devices for generating coherent optical lattice in a 2D slab region.
Inverse design of inflatable membranes via machine learning
The code for the work presented in the research paper titled "***"
Algorithms for inverse design
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