Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration-Reference-Cited by-同舟云学术

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Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration

Published:2021-02-10 Issue:1 Volume:3 Page:
ISSN:2643-1564
Container-title:Physical Review Research
language:en
Short-container-title:Phys. Rev. Research

Author:

Bachtis Dimitrios^ORCID,Aarts Gert^ORCID,Lucini Biagio^ORCID

Funder

European Research Council

Horizon 2020

Science and Technology Facilities Council

Leverhulme Trust

European Regional Development Fund

European Cooperation in Science and Technology

Royal Society Wolfson Research Merit

Publisher

American Physical Society (APS)

Subject

General Engineering

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.3.013134/fulltext

Reference37 articles.

1. Renormalization Group and Critical Phenomena. I. Renormalization Group and the Kadanoff Scaling Picture

2. Renormalization Group and Critical Phenomena. II. Phase-Space Cell Analysis of Critical Behavior

3. Scaling laws for ising models near Tc

4. The renormalization group: Critical phenomena and the Kondo problem

5. Critical Exponents in 3.99 Dimensions

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1. Study of the Berezinskii–Kosterlitz–Thouless transition: an unsupervised machine learning approach;Journal of Physics: Condensed Matter;2024-07-16

2. Overlap renormalization group transformations for disordered systems;Journal of Physics A: Mathematical and Theoretical;2024-05-28

3. Reducing finite-size effects with reweighted renormalization group transformations;Physical Review E;2024-01-19

4. Two Improved Constraint-Solving Algorithms Based on lmaxRPC3rm;Symmetry;2023-12-03

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