Work

Generative Deep Learning-Aided Design of Flexible Molecular Crystals

Year: 2025

Type: article

Source: Chemistry of Materials

DOI: 10.1021/acs.chemmater.5c02194

Authors: Chenyang Zhao, Jiawei Lin, Yanbo Liu, Jianmin Zhou, Liang Li, Shi Tang, Jing Li, Songgu Wu, Panče Naumov, Junbo Gong

Institutions: Tianjin University, State Key Laboratory of Chemical Engineering, Sinopec (China), SINOPEC Research Institute of Safety Engineering Co., Ltd., New York University Abu Dhabi, Sorbonne University Abu Dhabi, Macedonian Academy of Sciences and Arts, New York University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Tianjin Municipal Science and Technology Bureau

Awards: G526342615, G7791765144, G8990348379

OpenAlex ID: W4415342482

FWCI: 0.623

Cites: 61

Cited by: 3

Related to: