CrystalGAN: Learning to Discover Crystallographic Structures with
Generative Adversarial Networks

CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks

26 October 2018

Nataliya Sokolovska

Papers citing "CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks"

14 / 14 papers shown

Title
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy Siba Smarak Panigrahi Sékou-Oumar Kaba Qiang Zhu Kin Long Kelvin Lee Mikhail Galkin Santiago Miret Siamak Ravanbakhsh 317 12 0 05 Feb 2025
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers Izumi Takahara Kiyou Shibata Teruyasu Mizoguchi DiffM AI4CE 39 2 0 13 Jun 2024
Scalable Diffusion for Materials Generation Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch E. D. Cubuk 36 40 0 18 Oct 2023
Crystal Structure Prediction by Joint Equivariant Diffusion Rui Jiao Wen-bing Huang Peijia Lin Jiaqi Han Pin Chen Yutong Lu Yang Liu DiffM 32 62 0 30 Jul 2023
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery Daniel Manu Jingjing Yao Wuji Liu Xiang Sun FedML 38 7 0 11 Apr 2023
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering Lipichanda Goswami Manoj Deka Mohendra Roy AI4CE 42 19 0 15 Sep 2022
SELFIES and the future of molecular string representations Mario Krenn Qianxiang Ai Senja Barthel Nessa Carson Angelo Frei ... Andrew Wang Andrew D. White Adamo Young Rose Yu A. Aspuru‐Guzik 43 150 0 31 Mar 2022
Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints Yong Zhao Edirisuriya M Dilanga Siriwardane Zhenyao Wu Nihang Fu Mohammed Al-Fahdi Ming Hu Jianjun Hu AI4CE 41 69 0 27 Mar 2022
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 75 73 0 25 Sep 2021
Polygrammar: Grammar for Digital Polymer Representation and Generation Minghao Guo Wan Shou L. Makatura Timothy Erps Michael Foshey Wojciech Matusik 37 24 0 05 May 2021
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials Yabo Dan Yong Zhao Xiang Li Shaobo Li Ming Hu Jianjun Hu AI4CE GAN 40 193 0 12 Nov 2019
Study of Deep Generative Models for Inorganic Chemical Compositions Yoshihide Sawada Koji Morikawa Mikiya Fujii GAN 37 13 0 25 Oct 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 34 66 0 03 Sep 2019
Deep learning for molecular design - a review of the state of the art Daniel C. Elton Zois Boukouvalas M. Fuge Peter W. Chung AI4CE 3DV 34 327 0 11 Mar 2019