APS Logo

Superconductivity: Computational Advancements, Methods, and Design

INVITED · MAR-Q10 · ID: 2763357

Presentations

  • Ab initio modeling of phonon-mediated superconductivity: Methods, software, and applications

    ORAL · Invited

    –

    Publication: [1] H. Lee, S. Poncé, K. Bushick, S. Hajinazar, J. Lafuente-Bartolomé, J. Leveillee, C. Lian, J.-M. Lihm, F. Macheda, H. Mori, H. Paudyal, W. H. Sio, S. Tiwari, M. Zacharias, X. Zhang, N. Bonini, E. Kioupakis, E. R. Margine, and F. Giustino, "Electron-phonon physics from first principles using the EPW code", NPJ Comput. Mater. 9, 156 (2023).<br>[2] H. Mori, T. Nomoto, R. Arita, and E. R. Margine, "Efficient anisotropic Migdal-Eliashberg calculations with the Intermediate Representation basis and Wannier interpolation", Phys. Rev. B 110, 064505 (2024).<br>[3] C. R. Tomassetti, G. P. Kafle, E. T. Marcial, E. R. Margine, and A. N. Kolmogorov, "Prospect of high-temperature superconductivity in layered metal borocarbides", J. Mater. Chem. C 12, 4870 (2024).<br>[4] C. R. Tomassetti, D. Gochitashvili, C. Renskers, E. R. Margine, and A. N. Kolmogorov, "First-principles design of ambient-pressure MgxB2C2 and NaxBC superconductors", Phys. Rev. Materials 8, 114801 (2024).

    Presenters

    • Elena R Margine

      Binghamton University, SUNY Binghamton University

    Authors

    • Elena R Margine

      Binghamton University, SUNY Binghamton University

    View abstract →

  • How to design topological superconductivity from ab initio calculations

    ORAL · Invited

    –

    Publication: Reference<br>[1]Zhijun Wang, et al., Physical review B 92, 115119 (2015).<br>[2]Gang Xu, et al., Physical review letters 117, 047001 (2016).<br>[3]Jingnan Hu, et al., Physical Review Letters 132, 036601 (2024). <br>[4]Aiyun Luo, et al., npj Computational Materials 9, 188 (2023).<br>[5]Jingnan Hu, et al., arXiv:2405.15981 (2024).

    Presenters

    • Gang Xu

      Huazhong University of Science and Technology

    Authors

    • Gang Xu

      Huazhong University of Science and Technology

    View abstract →

  • From Data to Discovery: Accelerating Superconductor Discovery with Machine Learning

    ORAL · Invited

    –

    Publication: https://doi.org/10.48550/arXiv.2401.16611

    Presenters

    • Ajinkya C Hire

      University of Florida, Pennsylvania State University

    Authors

    • Ajinkya C Hire

      University of Florida, Pennsylvania State University

    • Jason Gibson

      University of Florida

    • Philip M Dee

      Oak Ridge National Laboratory, University of Florida

    • Benjamin Geisler

      University of Florida

    • Jung Soo Kim

      University of Florida

    • Zhongwei Li

      University of Florida

    • James J Hamlin

      University of Florida, Department of Physics, University of Florida

    • Gregory R Stewart

      University of Florida, Department of Physics, University of Florida

    • Peter J Hirschfeld

      University of Florida, Department of Physics, University of Florida

    • Richard G Hennig

      University of Florida, Department of Materials Science and Engineering, University of Florida

    View abstract →