Automatically Predicting Material Properties with Microscopic Images: Polymer Miscibility as an Example-Reference-Cited by-同舟云学术

Automatically Predicting Material Properties with Microscopic Images: Polymer Miscibility as an Example

Published:2023-08-17 Issue:19 Volume:63 Page:5971-5980
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Liang Zhilong¹,Tan Zhenzhi²,Hong Ruixin¹,Ouyang Wanli³,Yuan Jinying⁴^ORCID,Zhang Changshui¹

Affiliation:

1. Institute for Artificial Intelligence of Tsinghua University (THUAI), Beijing National Research Center for Information Science and Technology (BNRist), and Department of Automation, Tsinghua University, Beijing 100084, P. R. China

2. Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China

3. Shanghai AI Lab, Shanghai 200041, P. R. China

4. Key Lab of Organic Optoelectronics and Molecular Engineering of Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China

Funder

Guoqiang Institute, Tsinghua University

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00489

Reference38 articles.

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5. Pak, M.; Kim, S. In A Review of Deep Learning in Image Recognition, 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT), Aug 8–10, 2017.

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