Find optimal input of machine learning model.

PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design

Genetic Lookup for Apt Substances

Inverse Design of PIC devices for generating coherent optical lattice in a 2D slab region.

Co-Optimization of Composition in CrabNet

Exposing Algorithmic Bias with Canonical Sets

Inverse design of inflatable membranes via machine learning

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Program for machine learning inverse design of electronic spectra to structure of DHICA-melanin

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Optimization and inverse design of photonic crystals using deep reinforcement learning

Realizing an inverse design algorithm for optomechanical crystal nanobeam cavities.

Package for generating and inverse-designing 2D lattice materials. Represents lattices as heterogeneous graphs and utilizes message passing, automatic differentiation and surrogate gradients for the inverse design.

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23

Code for "Evolving Programmable Computational Metamaterials", Parsa et al., GECCO 2022

Code for "Universal Mechanical Polycomputation in Granular Matter", Parsa et al., GECCO 2023

The code for the work presented in the research paper titled "***"

OM-Diff: Inverse-design of organometallic catalysts with guided equivariant denoising diffusion