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Material modeling and computational methods for Quantum science and advanced applications

INVITED · B32 · ID: 22173

Presentations

  • Machine learning for combinatorial exploration of quantum materials

    ORAL · Invited

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    Publication: [1] Stanev et al., "Artificial intelligence for search and discovery of quantum materials," Communications Materials 2, 105 (2021).<br>[2] Yuan et al., arXiv:2103.08355 (to appear in Nature (2022)).

    Presenters

    • Ichiro Takeuchi

      University of Maryland, College Park, Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA

    Authors

    • Ichiro Takeuchi

      University of Maryland, College Park, Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA

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  • Charting the electronic structure of inorganic materials.

    ORAL · Invited

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    Presenters

    • Nicola Marzari

      Ecole Polytechnique Federale de Lausanne, Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne

    Authors

    • Nicola Marzari

      Ecole Polytechnique Federale de Lausanne, Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne

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  • 2-D Materials Modelling: from Transistors to Majorana Fermions

    ORAL · Invited

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    Publication: C. Klinkert, A. Szabo, C. Stieger, D. Campi, N. Marzari, and M. Luisier, "2-D Materials for Ultra-Scaled Field-Effect Transistors: Hundred Candidates under the Ab Initio Microscope", ACS Nano 14, 8605 (2020).<br><br>Y. Lee, T. Agarwal, and M. Luisier, "Ab initio modelling framework for Majorana transport in 2D materials: towards topological quantum computing", Proceedings of the IEDM 2020, pp. 30.3.1-30.3.4, online, December 2020.

    Presenters

    • Mathieu Luisier

      ETH Zurich

    Authors

    • Mathieu Luisier

      ETH Zurich

    • Cedric Klinkert

      ETH Zurich

    • Youseung Lee

      ETH Zurich

    • Davide Campi

      EPFL

    • Nicola Marzari

      Ecole Polytechnique Federale de Lausanne, Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne

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