Work

SFMMoE: A Semi-Empirical Descriptor-Augmented Multi-Expert Graph Neural Network for Accurate Prediction of Singlet Fission Properties

Year: 2025

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.5c02907

Authors: Jihang Zhai, Danyang Xiong, Yueqing Zhang, Yaru Shi, Yu-cheng Gu, Xinmeng Chen, Shan He, Xiao He, Lianrui Hu

Institutions: East China Normal University, Syngenta (United Kingdom), Hong Kong University of Science and Technology, New York University Shanghai, New York University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Shanghai Municipal Education Commission, East China Normal University, Natural Science Foundation of Chongqing, Syngenta International, Fundamental Research Funds for the Central Universities

Awards: G1843174013, 机器学习驱动的复杂体系分子模拟的量子化学新方法及应用, G3479652484, G3672522634

OpenAlex ID: W4416239595

FWCI: 0.623

Cites: 62

Cited by: 3

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