Inverse design of inflatable membranes via machine learning
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Updated
Feb 20, 2023 - Jupyter Notebook
Inverse design of inflatable membranes via machine learning
Realizing an inverse design algorithm for optomechanical crystal nanobeam cavities.
Code for "Evolving Programmable Computational Metamaterials", Parsa et al., GECCO 2022
Program for machine learning inverse design of electronic spectra to structure of DHICA-melanin
Custom types for topology optimization
RL guides generator with physics informed, this is the newest extended version of disordered waveguide inverse design
The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"
Exposing Algorithmic Bias with Canonical Sets
OM-Diff: Inverse-design of organometallic catalysts with guided equivariant denoising diffusion
BC-Design: A Biochemistry-Aware Framework for High-Precision Inverse Protein Folding
[Siggraph Asia 2024] Optimized shock-protecting microstructures
Algorithms for inverse design
The code for the work presented in the research paper titled "Inverse Design of Octagonal Plasmonic Structure for Switching Using Deep Learning"
Code for "Universal Mechanical Polycomputation in Granular Matter", Parsa et al., GECCO 2023
A Generic Framework for Optical Inverse Design
Inverse design of Plasmonic Metasurfaces with Bidirectional Adversarial AutoEncoder
Co-Optimization of Composition in CrabNet
Simulation and Optimization Library for Integrated Optics in Julia.
The code for the work presented in the research paper titled "***"
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