Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session F62: Machine Learning for Quantum Matter II
8:00 AM–10:48 AM,
Tuesday, March 7, 2023
Room: Room 417
Sponsoring
Unit:
DCOMP
Chair: Iris Mowgood, Chapman University
Abstract: F62.00006 : Similarities and differences in flat-band models with randomness detected by machine learning*
9:24 AM–9:36 AM
Presenter:
Takumi Kuroda
(University of Tsukuba)
Authors:
Takumi Kuroda
(University of Tsukuba)
Tomonari Mizoguchi
(University of Tsukuba)
Yasuhiro Hatsugai
(University of Tsukuba)
Based on these backgrounds, in this presentation, we compare a MO model with another random FB model. Specifically, we report the results of the ML study for the FB states of a random MO model and a model in which random potentials are introduced into the conventional FB model. In particular, we elaborate on how the choice of training data affects the output. We discuss the similarities and differences between the above two FB models inferred from the results.
[1] M. Goda, et al., PRL 96, 126401 (2006).
[2] J. T. Chalker, et al., PRB 82, 104209 (2010).
[3] T. Kuroda, et al., JPSJ 91, 044703 (2022).
[4] Y. Hatsugai, et al., EPL 95 20003 (2011).
[5] T. Mizoguchi, et al., EPL 127 47001 (2019).
[6] Y. Hatsugai, Ann Phys 168453 (2021).
*Support for Pioneering Research Initiated by the Next Generation
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