Symmetry in Many-Body Physics by Vanderlei S. Bagnato, Rashid G. Nazmitdinov, Vyacheslav I. Yukalov

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Nuclear particle and many body physics/ by Morse, Philip McCord, 1903-

Multipole Symmetries and Many Body Physics by Lake, Ethan

“…This thesis studies the many body physics of systems with multipolar conservation laws --- systems which conserve both a total charge and various multipole moments thereof. …”
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Elements of nuclei : many-body physics with the strong interaction by 239256 Siemens, Philip John, Jensen, Stenholm Aksel

Variational Autoencoder Reconstruction of Complex Many-Body Physics by Ilia A. Luchnikov, Alexander Ryzhov, Pieter-Jan Stas, Sergey N. Filippov, Henni Ouerdane

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Levitated optomechanics: From single to many-body physics by Zhang-qi Yin

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Quantum many body physics in single and bilayer graphene by Nandkishore, Rahul (Rahul Mahajan )

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Many-body physics with ultracold plasmas: quenched randomness and localization by John Sous, Edward Grant

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Quantum many-body physics from a gravitational lens by Liu, H, Sonner, J

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Quantum many-body physics from a gravitational lens by Liu, Hong, Sonner, J

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Holographic Duality with a View Toward Many-Body Physics by McGreevy, John

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Studying many-body physics through quantum coding theory by Yoshida, Beni

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Many-Body Physics of Low-Density Dipolar Bosons in Box Potentials by Tommaso Macrì, Fabio Cinti

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Editorial: Tensor network approaches for quantum many-body physics and machine learning by Shi-Ju Ran, Qibin Zhao, Peng Zhang, Chu Guo

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Few- and many-body physics of dipoles in ion traps and optical lattice simulators by Safavi-Naini, Arghavan

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Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research by Amilson R Fritsch, Shangjie Guo, Sophia M Koh, I B Spielman, Justyna P Zwolak

“…We establish a dataset of over $1.6\times10^4$ experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning (ML) for many-body physics research. About $33$ % of this dataset has manually assigned and carefully curated labels. …”
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Deep learning-enhanced variational Monte Carlo method for quantum many-body physics by Li Yang, Zhaoqi Leng, Guangyuan Yu, Ankit Patel, Wen-Jun Hu, Han Pu

“…However, there have been few systematic studies exploring quantum many-body physics using deep neural networks (DNNs), despite the tremendous success enjoyed by DNNs in many other areas in recent years. …”
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Floquet many-body engineering: topology and many-body physics in phase space lattices by Pengfei Liang, Michael Marthaler, Lingzhen Guo

“…We propose to use interacting particles in a one-dimensional (1D) harmonic potential with periodic kicking to investigate two-dimensional topological and many-body physics. Depending on the driving parameters, the Floquet Hamiltonian of single kicked harmonic oscillator has various lattice structures in phase space. …”
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A New Look on Financial Markets Co-Movement through Cooperative Dynamics in Many-Body Physics by María Nieves López-García, Miguel Angel Sánchez-Granero, Juan Evangelista Trinidad-Segovia, Antonio Manuel Puertas, Francisco Javier De las Nieves

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Many-body physics in two-component Bose–Einstein condensates in a cavity: fragmented superradiance and polarization by Axel U J Lode, Fritz S Diorico, RuGway Wu, Paolo Molignini, Luca Papariello, Rui Lin, Camille Lévêque, Lukas Exl, Marios C Tsatsos, R Chitra, Norbert J Mauser

“…The modified potential and the laser-mediated coupling between the atomic components give rise to rich many-body physics: an increase of the pump power triggers a self-organization of the atoms while an even larger pump power causes correlations between the self-organized atoms—the BEC becomes fragmented and the reduced density matrix acquires multiple macroscopic eigenvalues. …”
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