Mapping distinct phase transitions to a neural network-Reference-Cited by-同舟云学术

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Mapping distinct phase transitions to a neural network

Published:2020-11-16 Issue:5 Volume:102 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

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

Funder

European Research Council

Horizon 2020

Science and Technology Facilities Council

Royal Society

Leverhulme Trust

European Regional Development Fund

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.102.053306/fulltext

Reference43 articles.

1. Machine learning and the physical sciences

2. Machine learning phases of matter

3. Learning phase transitions by confusion

4. Machine learning quantum phases of matter beyond the fermion sign problem

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

2. Diffusion models as stochastic quantization in lattice field theory;Journal of High Energy Physics;2024-05-07

3. Exploring QCD matter in extreme conditions with Machine Learning;Progress in Particle and Nuclear Physics;2024-02

4. Phase Transitions in Particle Physics;Progress in Particle and Nuclear Physics;2023-11

5. 机器学习在相变中的应用;SCIENTIA SINICA Physica, Mechanica & Astronomica;2023-05-01

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