Thermodynamic and Transport Properties and Spectroscopy

Presentations

• Point-defect effects on thermal conductivity in BAs and MgO: a first-principles study

  Oral-In-person

  March 19, 2026, 8:00 AM – March 19, 2026, 8:12 AM

  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 →

• Green's Function Solution of the Wigner Transport Equation for Arbitrary Heat Sources in the Relaxation-Time Approximation

  Oral-In-person · Withdrawn

  March 19, 2026, 8:12 AM – March 19, 2026, 8:24 AM

  Presenters

  • Laurenz Kremeyer

    • McGill University

  Authors

  • Laurenz Kremeyer

    • McGill University

  • Bradley Siwick

  • Samuel Huberman

    • McGill University

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• Computational modeling and measurement of thermal conductivity in bismuth telluride nanostructures and composites for thermoelectric applications

  Oral-In-person

  March 19, 2026, 8:24 AM – March 19, 2026, 8:36 AM

  Presenters

  • NICHOLAS HATTRUP

    • Carnegie Mellon University

  Authors

  • NICHOLAS HATTRUP

    • Carnegie Mellon University

  • Alan McGaughey

    • Carnegie Mellon University

  • Gerald Wang

    • Carnegie Mellon University

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• Modeling of extreme thermal conductivity materials via machine-learned molecular dynamics

  Oral-In-person

  March 19, 2026, 8:36 AM – March 19, 2026, 8:48 AM

  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 Unpublished Results.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 University

  • Penghua Ying

  • Shiyun Xiong

  • Zheyong Fan

  • Bai Song

    • Massachusetts Institute of Technology MIT

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• Probing Thermal conductivity of Group-IV thin film alloys by the 3ω method

  Oral-In-person

  March 19, 2026, 8:48 AM – March 19, 2026, 9:00 AM

  Presenters

  • MANISH SHARMA

    • University of Arkansas

  Authors

  • MANISH SHARMA

    • University of Arkansas

  • Sungjae Hong

  • Yunsheng Qiu

  • Steven Akwabli

  • Shui-Qing Yu

  • Jin Hu

    • University of Arkansas

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• Shape-Controlled Current Asymmetry: The Interplay of Classical and Quantum Forces

  Oral-In-person

  March 19, 2026, 9:00 AM – March 19, 2026, 9:12 AM

  Presenters

  • Mehmet Baran Okten

    • Sabanci University

  Authors

  • Mehmet Baran Okten

    • Sabanci University

  • Alhun Aydin

    • Sabanci University

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• Novel thermoelectric behavior in kagome YbCo6Ge6

  Oral-In-person

  March 19, 2026, 9:12 AM – March 19, 2026, 9:24 AM

  Presenters

  • Kaila Jenkins

    • University of Michigan

  Authors

  • Kaila Jenkins

    • University of Michigan

  • Yuan Zhu

    • University of Michigan

  • Dechen Zhang

    • University of Michigan

  • Guoxin Zheng

    • California Institute of Technology

  • Kuan-Wen Chen

    • University of Michigan

  • Aaron Chan

    • University of Michigan

  • Noah West

    • University of Michigan

  • Eoghan Downey

    • University of Michigan

  • Na Hyun Jo

    • University of Michigan

  • Lu Li

    • University of Michigan

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• Lattice dynamics and vibrational entropy in the PbSe/SnSe thermal switch

  Oral-In-person

  March 19, 2026, 9:24 AM – March 19, 2026, 9:36 AM

  Presenters

  • Raphael Hermann

    • Oak Ridge National Laboratory

  Authors

  • Raphael Hermann

    • Oak Ridge National Laboratory

  • Ashiq Shawon

    • Michigan State University

  • Matthew Cothrine

    • University of Tennessee

  • George Yumnam

    • Oak Ridge National Laboratory

  • Hsin Wang

  • Lucas Lindsay

    • Oak Ridge National Laboratory

  • David Mandrus

    • University of Tennessee

  • Alexandra Zevalkink

  • Michael Manley

    • Oak Ridge National Laboratory

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• Thermal Conductivity above 2,000 W/m·K in Boron Arsenide by Nanosecond Transducer-Less Time-Domain Thermoreflectance

  Oral-In-person

  March 19, 2026, 9:36 AM – March 19, 2026, 9:48 AM

  Presenters

  • Jiming Bao

    • University of Houston

  Authors

  • Jiming Bao

    • University of Houston

  • Hong Zhong

    • University of Houston

  • Ying Peng

  • Feng Lin

  • Benise Niyikiza

  • Fengjiao Pan

  • Chengzhen Bao

  • Jinghong Chen

  • Viktor Hadjiev

  • Liangzi Deng

  • Zhifeng Ren

  View abstract →

• Non-Intrusive Hydrogen Measurement via Raman LIDAR

  Oral-In-person

  March 19, 2026, 9:48 AM – March 19, 2026, 10:00 AM

  Presenters

  • CR Bhatt

    • DOE National Energy Technology Lab

  Authors

  • CR Bhatt

    • DOE National Energy Technology Lab

  • Daniel Hartzler

  • Dustin McIntyre

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• Accelerating Resonant Scattering Simulations with the Multi-Shifted Biconjugate Gradient Method

  Oral-In-person

  March 19, 2026, 10:00 AM – March 19, 2026, 10:12 AM

  Publication: P. Sharma, et al. " Accelerating Resonant Spectroscopy Simulations Using Multi-shifted Biconjugate Gradient." Phys. Rev. B 112, 115113 (2025)
  
  

  Presenters

  • Prakash Sharma

    • Emory University

  Authors

  • Prakash Sharma

    • Emory University

  • Luogen Xu

    • Georgetown University

  • Fei Xue

  • Yao Wang

    • Emory University

  View abstract →

• Machine Intelligence at the Wireless Edge

  Oral-In-person

  March 19, 2026, 10:12 AM – March 19, 2026, 10:24 AM

  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

  Authors

  • Kfir Sulimany

    • Massachusetts Institute of Technology

  • Sri Krishna Vadlamani

    • Massachusetts Institute of Technology

  • Zhihui Gao

  • Tingjun Chen

  • Dirk Englund

    • Columbia University

  View abstract →