Thermodynamic and Transport Properties and Spectroscopy
ORAL · MAR-S19 · ID: 3996229
Presentations
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Point-defect effects on thermal conductivity in BAs and MgO: a first-principles study
ORAL
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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 BPresenters
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Hao Zhou
- University of Utah
Authors
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Hao Zhou
- University of Utah
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Shuxiang Zhou
- Idaho National Laboratory
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Zilong Hua
- Idaho National Laboratory
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Kaustubh Bawane
- Idaho National Laboratory
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Tianli Feng
- University of Utah
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Abstract Withdrawn
ORAL · Withdrawn
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Computational modeling and measurement of thermal conductivity in bismuth telluride nanostructures and composites for thermoelectric applications
ORAL
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Presenters
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NICHOLAS HATTRUP
- Carnegie Mellon University
Authors
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NICHOLAS HATTRUP
- Carnegie Mellon University
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Alan J McGaughey
- Carnegie Mellon University
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Gerald J Wang
- Carnegie Mellon University
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Modeling of extreme thermal conductivity materials via machine-learned molecular dynamics
ORAL
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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
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Wenjiang Zhou
- School of Mechanics and Engineering Science, Peking University, Beijing 100871, China.
Authors
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Wenjiang Zhou
- School of Mechanics and Engineering Science, Peking University, Beijing 100871, China.
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Xiguang Wu
- Guangzhou Key Laboratory of Low-Dimensional Materials and Energy Storage Devices, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.
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Nianjie Liang
- School of Mechanics and Engineering Science, Peking University, Beijing 100871, China.
- Peking University
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Penghua Ying
- Department of Physical Chemistry, School of Chemistry, Tel Aviv University, Tel Aviv 6997801, Israel.
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Shiyun Xiong
- Guangzhou Key Laboratory of Low-Dimensional Materials and Energy Storage Devices, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.
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Zheyong Fan
- College of Physical Science and Technology, Bohai University, Jinzhou 121013, China.
- College of Physical Science and Technology, Bohai University
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Bai Song
- School of Mechanics and Engineering Science, Peking University, Beijing 100871, China.
- Peking University
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Probing Thermal conductivity of Group-IV thin film alloys by the 3ω method
ORAL
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Presenters
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M.M. M Sharma
- University of Arkansas
Authors
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M.M. M Sharma
- University of Arkansas
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Sungjae Hong
- Sandia National Laboratory
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Yunsheng Qiu
- University of Arkansas, Pine Bluff
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Steven Akwabli
- University of Arkansas
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Shui-Qing Yu
- University of Arkansas
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Jin Hu
- University of Arkansas
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Shape-Controlled Current Asymmetry: The Interplay of Classical and Quantum Forces
ORAL
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Presenters
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Mehmet Baran Okten
- Sabanci University
Authors
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Mehmet Baran Okten
- Sabanci University
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Alhun Aydin
- Sabanci University
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Novel thermoelectric behavior in kagome YbCo6Ge6
ORAL
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Presenters
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Kaila G Jenkins
- University of Michigan
Authors
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Kaila G Jenkins
- University of Michigan
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Yuan Zhu
- University of Michigan
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Dechen Zhang
- University of Michigan
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Guoxin Zheng
- California Institute of Technology
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Kuan-Wen Chen
- University of Michigan
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Aaron Leonard Chan
- University of Michigan
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Noah West
- University of Michigan
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Eoghan Downey
- University of Michigan
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Na Hyun Jo
- University of Michigan
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Lu Li
- University of Michigan
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Lattice dynamics and vibrational entropy in the PbSe/SnSe thermal switch
ORAL
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Presenters
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Raphael P Hermann
- Oak Ridge National Laboratory
Authors
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Raphael P Hermann
- Oak Ridge National Laboratory
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Ashiq Shawon
- University of Michigan
- Michigan State University
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Matthew Aaron Cothrine
- University of Tennessee
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George Yumnam
- Oak Ridge National Laboratory
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Hsin Wang
- Oak Ridge National Laboratory
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Lucas Lindsay
- Oak Ridge National Laboratory
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David Mandrus
- University of Tennessee
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Alexandra Zevalkink
- Michigan State University
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Michael E 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
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Presenters
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Jiming Bao
- University of Houston
Authors
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Jiming Bao
- University of Houston
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Hong Zhong
- University of Houston
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Ying Peng
- University of Houston
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Feng Lin
- University of Houston
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Benise Niyikiza
- University of Houston
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Fengjiao Pan
- University of Houston
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Chengzhen Bao
- University of Houston
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Jinghong Chen
- University of Houston
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Viktor Hadjiev
- University of Houston
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Liangzi Deng
- University of Houston
- University of Houston, Houston, Texas 77204, USA
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Zhifeng Ren
- University of Houston
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Non-Intrusive Hydrogen Measurement via Raman LIDAR
ORAL
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Presenters
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CR R Bhatt
- National Energy Technology Lab
Authors
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CR R Bhatt
- National Energy Technology Lab
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Daniel Hartzler
- National Energy Technology Laboratory
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Dustin McIntyre
- National Energy Technology Laboratory
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Accelerating Resonant Scattering Simulations with the Multi-Shifted Biconjugate Gradient Method
ORAL
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Publication: P. Sharma, et al. " Accelerating Resonant Spectroscopy Simulations Using Multi-shifted Biconjugate Gradient." Phys. Rev. B 112, 115113 (2025)
Presenters
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Prakash Sharma
- Emory University
Authors
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Prakash Sharma
- Emory University
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Luogen Xu
- Emory University
- Georgetown University
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Fei Xue
- Clemson University
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Yao Wang
- Emory University
- Clemson University
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Machine Intelligence at the Wireless Edge
ORAL
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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
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Zhihui Gao
- Duke University
Authors
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Kfir Sulimany
- Massachusetts Institute of Technology
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Sri Krishna Vadlamani
- Massachusetts Institute of Technology
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Zhihui Gao
- Duke University
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Tingjun Chen
- Duke University
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Dirk Englund
- Massachusetts Institute of Technology
- Columbia University
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