Correlations, Shapes, and Fragmentations of Ultracold Matter

A. U.J. Lode; O. E. Alon; A. Bhowmik; M. Büttner; L. S. Cederbaum; R. Chitra; S. Dutta; D. Jaksch; H. Kessler; C. Lévêque; R. Lin; P. Molignini; L. Papariello; M. C. Tsatsos; J. Xiang

doi:10.1007/978-3-031-46870-4_5

Correlations, Shapes, and Fragmentations of Ultracold Matter

A. U.J. Lode, O. E. Alon, A. Bhowmik, M. Büttner, L. S. Cederbaum, R. Chitra, S. Dutta, D. Jaksch, H. Kessler, C. Lévêque, R. Lin, P. Molignini, L. Papariello, M. C. Tsatsos, J. Xiang

Department of Physics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This 2022 report summarizes our activities at the HLRS facilities (Hawk) in the framework of the multiconfigurational time-dependent Hartree for indistinguishable particles (MCTDH-X) high-performance computation project. Our results are a bottom-up investigation into exciting and intriguing many-body physics and phase diagrams obtained via the direct solution of the many-particle Schrödinger equation and its comparison to experiments, and via machine learning approaches. We investigated ultracold quantum gases for Pauli crystal melting, crystallization in a cavity, breakup and fragmentation of a condensate in the rotating frame, machine learning observables from single-shot images of ultracold atomic systems, and, finally Josephson dynamics of fragmented BECs, respectively.

Original language	English
Title of host publication	High Performance Computing in Science and Engineering ’22
Subtitle of host publication	Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022
Publisher	Springer Nature
Pages	63-75
Number of pages	13
ISBN (Electronic)	9783031468704
ISBN (Print)	9783031468698
DOIs	https://doi.org/10.1007/978-3-031-46870-4_5
State	Published - 1 Jan 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

ASJC Scopus subject areas

General Computer Science
General Mathematics
General Physics and Astronomy
General Chemistry
General Engineering

Access to Document

10.1007/978-3-031-46870-4_5

Cite this

Lode, A. U. J., Alon, O. E., Bhowmik, A., Büttner, M., Cederbaum, L. S., Chitra, R., Dutta, S., Jaksch, D., Kessler, H., Lévêque, C., Lin, R., Molignini, P., Papariello, L., Tsatsos, M. C., & Xiang, J. (2024). Correlations, Shapes, and Fragmentations of Ultracold Matter. In High Performance Computing in Science and Engineering ’22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022 (pp. 63-75). Springer Nature. https://doi.org/10.1007/978-3-031-46870-4_5

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Lode, AUJ, Alon, OE, Bhowmik, A, Büttner, M, Cederbaum, LS, Chitra, R, Dutta, S, Jaksch, D, Kessler, H, Lévêque, C, Lin, R, Molignini, P, Papariello, L, Tsatsos, MC & Xiang, J 2024, Correlations, Shapes, and Fragmentations of Ultracold Matter. in High Performance Computing in Science and Engineering ’22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022. Springer Nature, pp. 63-75. https://doi.org/10.1007/978-3-031-46870-4_5

Correlations, Shapes, and Fragmentations of Ultracold Matter. / Lode, A. U.J.; Alon, O. E.; Bhowmik, A. et al.
High Performance Computing in Science and Engineering ’22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022. Springer Nature, 2024. p. 63-75.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Cederbaum, L. S.

AU - Chitra, R.

AU - Dutta, S.

AU - Jaksch, D.

AU - Kessler, H.

AU - Lévêque, C.

AU - Lin, R.

AU - Molignini, P.

AU - Papariello, L.

AU - Tsatsos, M. C.

AU - Xiang, J.

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Correlations, Shapes, and Fragmentations of Ultracold Matter

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