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Uncertainty Quantification for Soft Matter Physics and General Physics II

FOCUS · Z59 · ID: 1343996






Presentations

  • Viscous flows in curved spaces

    ORAL

    Presenters

    • Stephane Guillet

      Laboratoire de Physique ENS de Lyon

    Authors

    • Stephane Guillet

      Laboratoire de Physique ENS de Lyon

    • Benjamin Guiselin

      Laboratoire de Physique ENS de Lyon

    • Mariem Boughzala

      Laboratoire de Physique ENS de Lyon

    • Denis Bartolo

      Ecole Normale Superieure de Lyon, École Normale Supérieure de Lyon

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  • ZT enhanced by electron-phonon interactions on lattice thermal conductivity in Sb-Bi GeTe crystal

    ORAL

    Publication: 1) L. Yue, W. Cui, S. Zheng, Y. Wu, X. Dong, G. Lu, Enhanced thermoelectric performance of In and Se co-doped GeTe compounds, J. Mater. Res. Technol. 9 (2020) 4106–4113. https://doi.org/10.1016/j.jmrt.2020.02.037.<br>2)Imam, K.S. Bayikadi, M. Ubaid, V.K. Ranganayakulu, S. Devi, B.S. Pujari, Y.-Y. Chen, L.-C. Chen, K.-H. Chen, F.-L. Lin, R. Sankar, Achieving synergistic performance through highly compacted microcrystalline rods induced in Mo doped GeTe based compounds, Mater. Today Phys. 22 (2022) 100571. https://doi.org/10.1016/j.mtphys.2021.100571.<br>3)R. Zhang, J. Pei, Z. Shan, W. Zhou, Y. Wu, Z. Han, Y.-H. Zhao, J.-F. Li, Z.-H. Ge, B.-P. Zhang, Intrinsic vacancy suppression and band convergence to enhance thermoelectric performance of (Ge, Bi, Sb)Te crystals, Chem. Eng. J. 429 (2022) 132275. https://doi.org/10.1016/j.cej.2021.132275. <br>4)Z. Guo, Q. Zhang, H. Wang, X. Tan, F. Shi, C. Xiong, N. Man, H. Hu, G. Liu, J. Jiang, Bi–Zn codoping in GeTe synergistically enhances band convergence and phonon scattering for high thermoelectric performance, J. Mater. Chem. A. 8 (2020) 21642–21648. https://doi.org/10.1039/D0TA08700A.

    Presenters

    • Ranganayakulu K. Vankayala

      Institute of Physics, Academia Sinica, Inst of Physics Academia Sinica

    Authors

    • Ranganayakulu K. Vankayala

      Institute of Physics, Academia Sinica, Inst of Physics Academia Sinica

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  • Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

    ORAL · Invited

    Publication: Baptista, R., Cao, L., Chen, J., Ghattas, O., Li, F., Marzouk, Y. M., & Oden, J. T. (2022). Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. http://arxiv.org/abs/2206.11343

    Presenters

    • Lianghao Cao

      The University of Texas at Austin

    Authors

    • Lianghao Cao

      The University of Texas at Austin

    • Ricardo Baptista

      California Institute of Technology

    • Joshua Chen

      The University of Texas at Austin

    • Fengyi Li

      Massachusetts Institute of Technology

    • Omar Ghattas

      The University of Texas at Austin

    • J. Tinsley Oden

      The University of Texas at Austin

    • Youssef Marzouk

      Massachusetts Institute of Technology

    View abstract →