Machine Learning for Quantum Matter IV

Presentations

• m* of electron gases: a neural canonical transformation study

  ORAL · Invited

  March 17, 2022, 4:00 PM – March 17, 2022, 4:36 PM

  Presenters

  • Lei Wang

    Institute of Physics

  Authors

  • Lei Wang

    Institute of Physics

  • Hao Xie

    Institute of Physics, Chinese Academy of Sciences

  • Linfeng Zhang

    DP Technology Beijing 10080; AI for Science Institute, Beijing 10080, Beijing Institute of Big Data Research (BIBDR)

  View abstract →

• Calculation of nuclear ground states up to A=6 using Artificial Neural Networks.

  ORAL · Invited

  March 17, 2022, 4:36 PM – March 17, 2022, 5:12 PM

  Presenters

  • Corey Adams

    Argonne National Lab

  Authors

  • Corey Adams

    Argonne National Lab

  View abstract →

• Detecting topological order using recurrent neural network wave functions

  ORAL

  March 17, 2022, 5:12 PM – March 17, 2022, 5:24 PM

  Presenters

  • Mohamed Hibat-Allah

    University of Waterloo

  Authors

  • Mohamed Hibat-Allah

    University of Waterloo

  • Roger G Melko

    University of Waterloo

  • Juan Carrasquilla

    Vector Institute for Artificial Intelligence

  View abstract →

• Exploring variational methods with interpretable neural-networks and genetic algorithms

  ORAL

  March 17, 2022, 5:24 PM – March 17, 2022, 5:36 PM

  Publication: A. Valenti, E. Greplova, N. H. Lindner, and S. D. Huber. Correlation-enhanced neural networks as interpretable variational<br>quantum states. arXiv preprint arXiv:2103.05017, 2021

  Presenters

  • Agnes Valenti

    ETH Zurich

  Authors

  • Agnes Valenti

    ETH Zurich

  • Eliska Greplova

    Delft University of Technology

  • Netanel Lindner

    Technion - Israel Institute of Technology

  • Evert Van Nieuwenburg

    Niels Bohr International Academy, University of Copenhagen

  • Sebastian Huber

    ETH Zurich

  View abstract →

• Deep Learning the Functional Renormalization Group Flow for Correlated Fermions

  ORAL

  March 17, 2022, 5:36 PM – March 17, 2022, 5:48 PM

  Presenters

  • Matija Medvidović

    Columbia University

  Authors

  • Domenico Di Sante

    University of Bologna, Center for Computational Quantum Physics, Flatiron Institute

  • Matija Medvidović

    Columbia University

  • Alessandro Toschi

    Institute of Solid State Physics Vienna

  • Giorgio Sangiovanni

    Julius-Maximilians University of Wuerzbu, Julius-Maximilians University of Wuerzburg

  • Cesare Franchini

    University of Vienna, Univ of Vienna, Univ of Vienna, Univ of Bologna, Universita' di Bologna & University of Vienna, University of Vienna, A-1090 Vienna, Austria, Alma Mater Studiorum–Università di Bologna, Bologna, 40127, Italy

  • Anirvan M Sengupta

    Rutgers University, New Brunswick

  • Andrew J Millis

    Columbia University, Columbia University; Flatiron Institute, Columbia University, Flatiron Institute

  View abstract →

• Predicting Quasiparticle and Excitonic properties of materials using Machine Learning

  ORAL

  March 17, 2022, 5:48 PM – March 17, 2022, 6:00 PM

  Presenters

  • Tathagata Biswas

    Arizona State University

  Authors

  • Tathagata Biswas

    Arizona State University

  • Sydney N Olson

    Arizona State University

  • Arunima K Singh

    Arizona State University, ASU

  View abstract →

• Quantum process tomography with neural networks.

  ORAL

  March 17, 2022, 6:00 PM – March 17, 2022, 6:12 PM

  Presenters

  • Shahnawaz Ahmed

    Chalmers Univ of Tech

  Authors

  • Shahnawaz Ahmed

    Chalmers Univ of Tech

  • Isaac Quijandria Diaz

    Chalmers Univ of Tech, Chalmers University of Technology

  • Anton F Kockum

    Chalmers Univ of Tech, Chalmers University of Technology

  View abstract →

• Thermal Transport Simulation of Strongly Anharmonic GeSe through Machine Learning

  ORAL

  March 17, 2022, 6:12 PM – March 17, 2022, 6:24 PM

  Presenters

  • Jie-Cheng Chen

    Institute of Atomic and Molecular Sciences, Academia Sinica, Taiwan

  Authors

  • Mei-Yin Chou

    Institute of Atomic and Molecular Sciences, Academia Sinica, Taiwan, Academia Sinica, Taiwan, Academia Sinica

  • Jie-Cheng Chen

    Institute of Atomic and Molecular Sciences, Academia Sinica, Taiwan

  View abstract →

• Machine Learning the Relationship Between Debye and Superconducting Transition Temperatures

  ORAL

  March 17, 2022, 6:24 PM – March 17, 2022, 6:36 PM

  Presenters

  • Cheng-Chien Chen

    University of Alabama at Birmingham

  Authors

  • Cheng-Chien Chen

    University of Alabama at Birmingham

  • Adam D. Smith

    University of Alabama at Birmingham

  View abstract →

• Transferable Machine Learning for Four-Dimensional Scanning Transmission Electron Microscopy Data

  ORAL

  March 17, 2022, 6:36 PM – March 17, 2022, 6:48 PM

  Presenters

  • Michael Matty

    Cornell University

  Authors

  • Michael Matty

    Cornell University

  • Michael Cao

    Cornell University

  • Zhen Chen

    Cornell University

  • Li Li

    Google Research, Google LLC

  • David A Muller

    Cornell University, School of Applied and Engineering Physics, Cornell University

  • Eun-Ah Kim

    Cornell University

  View abstract →