The current research status and prospects of AI in chemical science-Reference-Cited by-同舟云学术

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The current research status and prospects of AI in chemical science

Published:2024-08 Issue: Volume: Page:
ISSN:1002-0071
Container-title:Progress in Natural Science: Materials International
language:en
Short-container-title:Progress in Natural Science: Materials International

Author:

Yuan Minghao^ORCID,Guo Qinglang,Wang Yingxue

Publisher

Elsevier BV

Reference111 articles.

1. Machine learning: trends, perspectives, and prospects;Jordan;Science,2015

2. Deep learning;Yann;Nature,2015

3. Planning chemical syntheses with deep neural networks and symbolic AI;Segler;Nature,2018

4. Special issue: chemoinformatics;Willett;Molecules,2016

5. Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties;Xie;Phys. Rev. Lett.,2018

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