Machine learning-accelerated efficient screening and design of energetic material molecules

Authors

Lin Yang (ORCID: https://orcid.org/0000-0002-0954-6240)
Botao Teng (ORCID: https://orcid.org/0000-0002-4052-2677)
Xiaolong Zhang (ORCID: https://orcid.org/0000-0002-5596-0776)
Yuwei Zhou (ORCID: https://orcid.org/0000-0001-9512-4994)
He Wang (ORCID: https://orcid.org/0000-0002-1592-2564)

Publication Details

Journal: Journal of Fuel Chemistry and Technology
Published: 2025-12-03
DOI: https://doi.org/10.3724/2097-213x.2025.jfct.0030
Primary Topic: Energetic Materials and Combustion
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine learning-accelerated efficient screening and design of energetic material molecules

Lin Yang, Botao Teng, Xiaolong Zhang, Yuwei Zhou et al.

Dec 3, 2025

Journal of Fuel Chemistry and Technology

Energetic Materials and Combustion

article

Machine learning-accelerated efficient screening and design of energetic material molecules

Lin Yang, Botao Teng, Xiaolong Zhang, Yuwei Zhou, He Wang

December 3, 2025article en

Abstract

No abstract available for this paper.

Journal of Fuel Chemistry and TechnologyVol. 54(1)

Openalex Percentile: Top 57%

Energetic Materials and Combustion

DOI Source OpenAlex

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Machine learning-accelerated efficient screening and design of energetic material molecules — Lin Yang, Botao Teng, et al. · Journal of Fuel Chemistry and Technology (2025) | TGRS Research Map | TGRS