A collection of inverse design challenges
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Updated
Sep 20, 2024 - Python
A collection of inverse design challenges
RL guides generator with physics informed, this is the newest extended version of disordered waveguide inverse design
Algorithms for inverse design
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.
Silicon Photonics Design Tools.
The code for the work presented in the research paper titled "Inverse Design of Octagonal Plasmonic Structure for Switching Using Deep Learning"
Mapping properties to molecules in QM7-X
Custom types for topology optimization
Inverse design of Plasmonic Metasurfaces with Bidirectional Adversarial AutoEncoder
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Data and Codes for Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys
The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"
[ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation
OM-Diff: Inverse-design of organometallic catalysts with guided equivariant denoising diffusion
The code for the work presented in the research paper titled "***"
Code for "Universal Mechanical Polycomputation in Granular Matter", Parsa et al., GECCO 2023
Code for "Evolving Programmable Computational Metamaterials", Parsa et al., GECCO 2022
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
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.
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