BensonRen / AEM_DIM_BenchLinks
Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"
☆17Updated 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:
- 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 3 years ago
- Probability-density-based deep learning paradigm for the fuzzy design of functional metastructures. Research AAAS & NeurIPS ML4PS.☆21Updated 3 years ago
- "Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy…☆31Updated 4 years ago
- X-ray diffraction denoising using deep convolutional neural networks☆14Updated last year
- ☆13Updated 3 years ago
- Neural Inverse Design of Nanostructures☆43Updated last year
- 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
- a universal machine learning model for predicting properties of Chemical Compounds☆11Updated 5 years ago
- A deep learning Bayesian framework for attribute driven inverse materials design☆14Updated 5 years ago
- 数据集的创建☆11Updated last year
- Global optimization based on generative neural networks☆113Updated 2 years ago
- AI for a cure, a combination of Latent-GAN and VAE-JTNN to create 100% valid drug like molecules☆10Updated 5 years ago
- image-based generative model for inverse design of solid state materials☆40Updated 3 years ago
- Numerical simulation of the High Harmonic Generation process accounting for Quantum mechanic, Supersonic flow physics, Plasma physics and…☆18Updated 4 years ago
- Deep Learning And Applied Artificial Intelligence Project 2019/2020 - Molecular Synthesis & Reconstruction☆13Updated 4 years ago
- Molecular Dynamic Graph Neural Network☆20Updated 4 years ago
- ☆18Updated 3 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆84Updated 2 years ago
- 3 physical problems + multiple ML architectures benchmarking☆12Updated 3 years ago
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- Inverse materials design via invertible neural networks☆64Updated 2 years ago
- Invariant representation learning from imaging and spectral data☆51Updated last year
- R codes for generating candidates of novel polymers with high thermal conductivity using iqspr (R package)☆14Updated 6 years ago
- Project repository for deep learning coded FPM with uncertainty quantification☆23Updated 4 years ago
- This repository includes main notebook of the code for our proposed RCGAN☆11Updated 5 years ago
- Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks☆83Updated 2 years ago
- ☆46Updated 6 years ago
- Visualization of electron microscopy datasets with deep learning☆25Updated 5 years ago
- Jupyter notebooks describing data analysis procedures for my published/submitted papers☆14Updated 4 years ago