BensonRen / AEM_DIM_BenchLinks
Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"
☆18Updated 3 years ago
Alternatives and similar repositories for AEM_DIM_Bench
Users that are interested in AEM_DIM_Bench are comparing it to the libraries listed below
Sorting:
- "Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy…☆30Updated 4 years ago
- Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.☆10Updated 4 years ago
- All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…☆11Updated 4 years ago
- Probability-density-based deep learning paradigm for the fuzzy design of functional metastructures. Research AAAS & NeurIPS ML4PS.☆21Updated 3 years ago
- ☆14Updated 3 years ago
- Neural Inverse Design of Nanostructures☆45Updated 2 years ago
- Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Refe…☆21Updated 3 years ago
- Global optimization based on generative neural networks☆117Updated 3 years ago
- 3 physical problems + multiple ML architectures benchmarking☆14Updated 3 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆85Updated 2 years ago
- GAN-enabled metasuraface design☆64Updated 4 years ago
- ☆33Updated 3 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆194Updated 3 years ago
- ☆46Updated 6 years ago
- ☆61Updated 3 years ago
- ☆20Updated last month
- Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks☆84Updated 3 years ago
- Adjoint-based optimization and inverse design of photonic devices.☆13Updated 6 years ago
- 📐 Workshop material for optical inverse design and automatic differentiation☆116Updated 5 years ago
- X-ray diffraction denoising using deep convolutional neural networks☆14Updated last year
- Training neural networks for inverse design of nanophotonic gratings.☆19Updated 4 years ago
- ☆30Updated 2 years ago
- ☆33Updated 4 years ago
- PyTorch implementation of tandem neural networks.☆22Updated 4 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆117Updated 2 years ago
- Inverse design of nanophotonic devices using generative adversarial networks☆11Updated 2 years ago
- IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23☆12Updated 2 years ago
- Automated Metasurface Design by Machine Learning☆19Updated 5 years ago
- 数据集的创建☆11Updated last year
- 2021 SJTU IPP Project, Metasurface, advised by Prof. Xuyang Lu☆13Updated 3 years ago