Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

12 November 2019

Papers citing "Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials"

4 / 4 papers shown

Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 62 0 0 03 Mar 2025
$End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction$ End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction Qingsi Lai Lin Yao Zhifeng Gao Siyuan Liu Hongshuai Wang ... Di He Liwei Wang Cheng Wang Guolin Ke Guolin Ke 15 7 0 08 Jan 2024
Scalable Diffusion for Materials Generation Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch E. D. Cubuk 19 38 0 18 Oct 2023
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 138 182 0 30 Apr 2018