WyCryst: Wyckoff inorganic crystal generator framework-Reference-Cited by-同舟云学术

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WyCryst: Wyckoff inorganic crystal generator framework

Published:2024-06 Issue: Volume: Page:
ISSN:2590-2385
Container-title:Matter
language:en
Short-container-title:Matter

Author:

Zhu Ruiming,Nong Wei,Yamazaki Shuya,Hippalgaonkar Kedar^ORCID

Funder

Science and Engineering Research Council

National Research Foundation

National Research Foundation of Korea

Agency for Science, Technology and Research

Society of Transnational Academic Researchers Scholars Network

Publisher

Elsevier BV

Reference76 articles.

1. Structure prediction and materials design with generative neural networks;Yan;Nat. Comput. Sci.,2023

2. From DFT to machine learning: recent approaches to materials science–a review;Schleder;J. Phys. Mater.,2019

3. Optimality guarantees for crystal structure prediction;Gusev;Nature,2023

4. Inverse molecular design using machine learning: Generative models for matter engineering;Sanchez-Lengeling;Science,2018

5. Assessing Deep Generative Models in Chemical Composition Space;Türk;Chem. Mater.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-supervised generative models for crystal structures;iScience;2024-09

2. Kitaev physics in the two-dimensional magnet NiPSe3;Physical Review Research;2024-08-22

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