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ACS Materials Letters
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August 8, 2025
Thermal Transport of Amorphous Hafnia Across the Glass Transition
Zezhu Zeng, Xia Liang, Zheyong Fan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
March 8, 2024
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials
Zheyong Fan, Yang Xiao, Yanzhou Wang, et al.
Chemistry of Materials : a Publication of the American Chemical Society
|
October 17, 2022
Correction to "Structure and Pore Size Distribution in Nanoporous Carbon"
Yanzhou Wang, Zheyong Fan, Ping Qian, et al.
The Journal of Physical Chemistry. A
|
March 13, 2024
Transferability of Machine Learning Models for Predicting Raman Spectra
Mandi Fang, Shi Tang, Zheyong Fan, et al.
Nanoscale
|
October 21, 2017
Thermal and electronic transport characteristics of highly stretchable graphene kirigami
Bohayra Mortazavi, Aurélien Lherbier, Zheyong Fan, et al.
ACS Omega
|
August 29, 2019
Methodology Perspective of Computing Thermal Transport in Low-Dimensional Materials and Nanostructures: The Old and the New
Yanguang Zhou, Zheyong Fan, Guangzhao Qin, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
November 28, 2019
A minimal Tersoff potential for diamond silicon with improved descriptions of elastic and phonon transport properties
Zheyong Fan, Yanzhou Wang, Xiaokun Gu, et al.
ACS Applied Materials & Interfaces
|
July 23, 2023
Sub-Micrometer Phonon Mean Free Paths in Metal-Organic Frameworks Revealed by Machine Learning Molecular Dynamics Simulations
Penghua Ying, Ting Liang, Ke Xu, et al.
Journal of Chemical Theory and Computation
|
April 22, 2026
Accurate Modeling of Interfacial Thermal Transport in van der Waals Heterostructures via Hybrid Machine Learning and Registry-Dependent Potentials
Wenwu Jiang, Hekai Bu, Ting Liang, et al.
The Journal of Chemical Physics
|
May 24, 2023
Accurate prediction of heat conductivity of water by a neuroevolution potential
Ke Xu, Yongchao Hao, Ting Liang, et al.
Page
of 4
Search research articles
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Showing results (11-20 of 37) with videos related to
Sort By:
Page
of 4
ACS Materials Letters
|
August 8, 2025
Thermal Transport of Amorphous Hafnia Across the Glass Transition
Zezhu Zeng, Xia Liang, Zheyong Fan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
March 8, 2024
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials
Zheyong Fan, Yang Xiao, Yanzhou Wang, et al.
Chemistry of Materials : a Publication of the American Chemical Society
|
October 17, 2022
Correction to "Structure and Pore Size Distribution in Nanoporous Carbon"
Yanzhou Wang, Zheyong Fan, Ping Qian, et al.
The Journal of Physical Chemistry. A
|
March 13, 2024
Transferability of Machine Learning Models for Predicting Raman Spectra
Mandi Fang, Shi Tang, Zheyong Fan, et al.
Nanoscale
|
October 21, 2017
Thermal and electronic transport characteristics of highly stretchable graphene kirigami
Bohayra Mortazavi, Aurélien Lherbier, Zheyong Fan, et al.
ACS Omega
|
August 29, 2019
Methodology Perspective of Computing Thermal Transport in Low-Dimensional Materials and Nanostructures: The Old and the New
Yanguang Zhou, Zheyong Fan, Guangzhao Qin, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
November 28, 2019
A minimal Tersoff potential for diamond silicon with improved descriptions of elastic and phonon transport properties
Zheyong Fan, Yanzhou Wang, Xiaokun Gu, et al.
ACS Applied Materials & Interfaces
|
July 23, 2023
Sub-Micrometer Phonon Mean Free Paths in Metal-Organic Frameworks Revealed by Machine Learning Molecular Dynamics Simulations
Penghua Ying, Ting Liang, Ke Xu, et al.
Journal of Chemical Theory and Computation
|
April 22, 2026
Accurate Modeling of Interfacial Thermal Transport in van der Waals Heterostructures via Hybrid Machine Learning and Registry-Dependent Potentials
Wenwu Jiang, Hekai Bu, Ting Liang, et al.
The Journal of Chemical Physics
|
May 24, 2023
Accurate prediction of heat conductivity of water by a neuroevolution potential
Ke Xu, Yongchao Hao, Ting Liang, et al.
Page
of 4