Generative Deep Learning-Aided Design of Flexible Molecular Crystals

Authors

Pancě Naumov (ORCID: https://orcid.org/0000-0003-2416-6569)
Shi Tang (ORCID: https://orcid.org/0000-0002-6637-190X)
Junbo Gong (ORCID: https://orcid.org/0000-0002-3376-3296)
Chenyang Zhao (ORCID: https://orcid.org/0000-0002-2100-580X)
Liang Li (ORCID: https://orcid.org/0000-0003-3898-0641)
Jianmin Zhou
Songgu Wu (ORCID: https://orcid.org/0000-0003-4329-4654)
Jing Li (ORCID: https://orcid.org/0000-0002-9828-7569)
Yanbo Liu (ORCID: https://orcid.org/0000-0001-7374-675X)
Jiawei Lin (ORCID: https://orcid.org/0000-0002-1624-5286)

Institutions

Sinopec (China) (CN)
Tianjin University (CN)
Macedonian Academy of Sciences and Arts (MK)
Sorbonne Université (FR)
Smart Material (Germany) (DE)
Department of Physics, Mathematics and Informatics (BY)
Sorbonne University Abu Dhabi (AE)
Unité Matériaux et Transformations (FR)
State Key Laboratory of Chemical Engineering (CN)
SINOPEC Research Institute of Safety Engineering Co., Ltd.
New York University (US)

Publication Details

Journal: Chemistry of Materials
Published: 2025-10-19
DOI: https://doi.org/10.1021/acs.chemmater.5c02194
Primary Topic: Machine Learning in Materials Science
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Generative Deep Learning-Aided Design of Flexible Molecular Crystals

Pancě Naumov, Shi Tang, Junbo Gong, Chenyang Zhao et al.

Oct 19, 2025

Chemistry of Materials

Machine Learning in Materials Science

article

Generative Deep Learning-Aided Design of Flexible Molecular Crystals

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

October 19, 2025article en

Abstract

No abstract available for this paper.

Chemistry of MaterialsVol. 37(20)

Sinopec (China) (CN), Tianjin University (CN), Macedonian Academy of Sciences and Arts (MK), Sorbonne Université (FR), Smart Material (Germany) (DE), Department of Physics, Mathematics and Informatics (BY), Sorbonne University Abu Dhabi (AE), Unité Matériaux et Transformations (FR), State Key Laboratory of Chemical Engineering (CN), SINOPEC Research Institute of Safety Engineering Co., Ltd., New York University (US)

Openalex Percentile: Top 77%

Machine Learning in Materials Science

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generative Deep Learning-Aided Design of Flexible Molecular Crystals — Pancě Naumov, Shi Tang, et al. · Chemistry of Materials (2025) | TGRS Research Map | TGRS