Challenges and opportunities of theoretical and computational chemistry in the new era

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Publication Details

Journal
Scientia Sinica Chimica
Published
2025-04-09
DOI
https://doi.org/10.1360/ssc-2024-0270
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Challenges and opportunities of theoretical and computational chemistry in the new era

Wei Li, Shuhua Li, Xiangjian Shen
Scientia Sinica Chimica
Machine Learning in Materials Science
article

Challenges and opportunities of theoretical and computational chemistry in the new era

Wei Li, Shuhua Li, Xiangjian Shen
article en

Abstract

No abstract available for this paper.
Scientia Sinica ChimicaVol. 55(6)
National Natural Science Foundation of China, Nanjing University
Openalex Percentile: Top 95%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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Challenges and opportunities of theoretical and computational chemistry in the new era — Wei Li, Shuhua Li, et al. · Scientia Sinica Chimica (2025) | TGRS Research Map | TGRS