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His research aims to integrate atomistic modeling, neutron scattering, and advanced data analysis to understand and predict fundamental processes in structural and functional materials. To implement this integrated approach, he has been developing software to enable virtual neutron scattering experiments using common atomistic models as input, and to expand the scope of the computer models using machine learning algorithms. His recent scientific interests include host-guest interactions in chemical systems such as catalysts and metal-organic frameworks, solid-state ionic conductors for batteries and fuel cells, and amorphous/disordered metals and semiconductors.
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论文共 254 篇作者统计合作学者相似作者
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ACS catalysisno. 3 (2024): 1480-1493
Yujie Ma, Cheng Li,Lixia Guo,Wanpeng Lu,Yongqiang Cheng,Xue Han,Jiangnan Li,Danielle Crawshaw,Meng He, Lutong Shan,Daniel Lee,Ivan da Silva,
CHEMISTRY-A EUROPEAN JOURNALpp.e202303934-e202303934, (2024)
Christopher Marsh, Xue Han,Zhenzhong Lu, Ivan da Silva,Yongqiang Cheng, Luke L. Daemen,Sarah J. Day, Stephen P. Thompson,Anibal J. Ramirez-Cuesta, Sihai Yang,Martin Schroeder
Journal of Materials Researchno. 5 (2024): 727-736
Ziyu Cen,Xue Han,Longfei Lin,Sihai Yang,Wanying Han, Weilong Wen, Wenli Yuan,Minghua Dong, Zhiye Ma, Fang Li, Yubin Ke,Juncai Dong,
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