Search Results - J. Fan

Author Results for J. Fan

Tapio Ala-Nissila
Zheyong Fan
Alexander J Gabourie
Andrew S Holmes
Changqing Liu
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Christoforos Panteli
Eric Pop
Ke Xu
Renqian Zhou
S Ramachandran

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  1. 1
    Spectral decomposition of thermal conductivity: Comparing velocity decomposition methods in homogeneous molecular dynamics simulations

    Spectral decomposition of thermal conductivity: Comparing velocity decomposition methods in homogeneous molecular dynamics simulations by Alexander J Gabourie, Zheyong Fan, Tapio Ala-Nissila, Eric Pop

    Published 2021
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  2. 2
    Thermal transport in MoS2 from molecular dynamics using different empirical potentials

    Thermal transport in MoS2 from molecular dynamics using different empirical potentials by Ke Xu, Alexander J. Gabourie, Arsalan Hashemi, Zheyong Fan, Ning Wei, Amir Barati Farimani, Hannu-Pekka Komsa, Arkady V. Krasheninnikov, Eric Pop, Tapio Ala-Nissila

    Published 2019
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  3. 3
    Fast in-situ synchrotron X-ray imaging of the interfacial reaction during self-propagating exothermic reactive bonding

    Fast in-situ synchrotron X-ray imaging of the interfacial reaction during self-propagating exothermic reactive bonding by S Ramachandran, Yi Zhong, Stuart Robertson, Christoforos Panteli, Shuibao Liang, Fan Wu, Renqian Zhou, Shashidhara Marathe, Zhaoxia Zhou, Andrew S Holmes, Sarah J Haigh, Changqing Liu, Wajira Mirihanage

    Published 2022
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  4. 4
    Supplementary information files for Fast in-situ synchrotron X-ray imaging of the interfacial reaction during self-propagating exothermic reactive bonding

    Supplementary information files for Fast in-situ synchrotron X-ray imaging of the interfacial reaction during self-propagating exothermic reactive bonding by S Ramachandran, Yi Zhong, Stuart Robertson, Christoforos Panteli, Shuibao Liang, Fan Wue, Renqian Zhou, Shashidhara Marathe, Zhaoxia Zhou, Andrew S Holmes, Sarah J Haigh, Changqing Liu, Wajira Mirihanage

    Published 2023
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  5. 5
    GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

    GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations by Zheyong Fan, Yanzhou Wang, Penghua Ying, Keke Song, Junjie Wang, Yong Wang, Zezhu Zeng, Ke Xu, Eric Lindgren, J Magnus Rahm, Alexander J Gabourie, Jiahui Liu, Haikuan Dong, Jianyang Wu, Yue Chen, Zheng Zhong, Jian Sun, Paul Erhart, Yanjing Su, Tapio Ala-Nissila

    Published 2022
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  6. 6
    Roadmap on nanogenerators and piezotronics

    Roadmap on nanogenerators and piezotronics by P Basset, SP Beeby, C Bowen, ZJ Chew, A Delbani, Ishara Dharmasena, B Dudem, FR Fan, D Galayko, H Guo, J Hao, Y Hou, C Hu, Q Jing, YH Jung, SK Karan, S Kar-Narayan, M Kim, SW Kim, Y Kuang, KJ Lee, J Li, Z Li, Y Long, S Priya, X Pu, T Ruan, SRP Silva, HS Wang, K Wang, X Wang, ZL Wang, W Wu, W Xu, H Zhang, Y Zhang, M Zhu

    Published 2022
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