Thermodynamic and Transport Properties and Spectroscopy

ORAL · MAR-S19 · ID: MAR-S19

Presentations

  • Oral-In-person

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    Publication: Planed papers:
    [1] H. Zhou, H. Jang, T. Feng, "Mg vacancy and impurities-limited MgO single crystal thermal conductivity", Applied Physics Letters
    [2] H. Zhou, S. Zhou, Z. Hua, K. Bawane, and T. Feng, "First principles prediction of thermal conductivity of BAs with point defects", Physical Review B

    Presenters

    • Hao Zhou

      • University of Utah

    Authors

    • Hao Zhou

      • University of Utah

    • Shuxiang Zhou

      • Idaho National Laboratory

    • Zilong Hua

    • Kaustubh Bawane

    • Tianli Feng

      • University of Utah

    View abstract →

  • Oral-In-person

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    Publication: 1. W. Zhou, N. Liang, X. Wu, S. Xiong, Z. Fan, and B. Song. Insights into the effect of force errors on the thermal conductivity in machine-learned potentials. Mater. Today Phys. 50(4):101638 (2025).
    2. X. Wu, W. Zhou, H. Dong, P. Ying, Y. Wang, B. Song, Z. Fan, and S. Xiong. Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics. J. Chem. Phys. 161, 014103 (2024).
    3. W. Zhou, B. Song et al. Heat transport in superionic materials via machine-learned molecular dynamics. Unpublished Results.

    Presenters

    • Wenjiang Zhou

      • Peking Univ

    Authors

    • Wenjiang Zhou

      • Peking Univ

    • Xiguang Wu

    • Nianjie Liang

      • Peking Univ

    • Penghua Ying

    • Shiyun Xiong

    • Zheyong Fan

    • Bai Song

      • Massachusetts Institute of Technology MIT

    View abstract →

  • Oral-In-person

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    Presenters

    • Kaila Jenkins

      • University of Michigan

    Authors

    • Kaila Jenkins

      • University of Michigan

    • Yuan Zhu

      • University of Michigan

    • Dechen Zhang

      • University of Michigan

    • Guoxin Zheng

      • Caltech

    • Kuan-Wen Chen

      • University of Michigan

    • Aaron Chan

      • University of Michigan

    • Noah West

      • University of Michigan- Ann Arbor

    • Eoghan Downey

      • University of Michigan

    • Na Hyun Jo

      • University of Michigan

    • Lu Li

      • University of Michigan

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  • Oral-In-person

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    Presenters

    • Raphael Hermann

      • Oak Ridge National Laboratory

    Authors

    • Raphael Hermann

      • Oak Ridge National Laboratory

    • Ashiq Shawon

      • University of Michigan- Ann Arbor

    • Matthew Cothrine

      • University of Tennessee Knoxville

    • George Yumnam

      • University of British Columbia

    • Hsin Wang

    • Lucas Lindsay

      • Oak Ridge National Laboratory

    • David Mandrus

      • University of Tennessee Knoxville

    • Alexandra Zevalkink

    • Michael Manley

      • Oak Ridge National Laboratory

    View abstract →

  • Oral-In-person

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    Publication: Sri Krishna Vadlamani*, Kfir Sulimany*, Zhihui Gao, Tingjun Chen, and Dirk Englund. "Machine Intelligence on Wireless Edge Networks." arXiv:2506.12210 (2025).
    Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Englund, and Tingjun Chen. "Disaggregated Deep Learning via In-Physics Computing at Radio Frequency."
    Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, and Dirk Englund. "Quantum-secure multiparty deep learning." arXiv:2408.05629 (2024).

    Presenters

    • Zhihui Gao

      • Duke University

    Authors

    • kfir Sulimany

      • Massachusetts Institute of Technology

    • Sri Krishna Vadlamani

      • Massachusetts Institute of Technology

    • Zhihui Gao

      • Duke University

    • Tingjun Chen

    • Dirk Englund

      • Columbia University

    View abstract →