Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example-Reference-Cited by-同舟云学术

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Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example

Published:2024-07-15 Issue:1 Volume:110 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Evangelou Nikolaos¹¹^ORCID,Giovanis Dimitris G.¹²¹,Kevrekidis George A.¹,Pavliotis Grigorios A.³,Kevrekidis Ioannis G.¹¹

Affiliation:

1. Johns Hopkins University

2. Hopkins Extreme Materials Institute

3. Imperial College London

Funder

Air Force Office of Scientific Research

U.S. Department of Energy

Engineering Research Centers

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.110.014121/fulltext

Reference38 articles.

1. Statistical analysis of tipping pathways in agent-based models

2. From interacting agents to density-based modeling with stochastic PDEs

3. The McKean–Vlasov Equation in Finite Volume

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