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Physical Review. E
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August 20, 2024
Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example
Nikolaos Evangelou, Dimitris G Giovanis, George A Kevrekidis, et al.
PNAS Nexus
|
June 19, 2026
Data-driven, ML-assisted approaches to problem well-posedness
Tom Bertalan, George A Kevrekidis, Eleni D Koronaki, et al.
PNAS Nexus
|
January 30, 2023
On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
Nikolaos Evangelou, Noah J Wichrowski, George A Kevrekidis, et al.
Scientific Reports
|
December 5, 2024
Neural network representations of multiphase Equations of State
George A Kevrekidis, Daniel A Serino, M Alexander R Kaltenborn, et al.
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Search research articles
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Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Physical Review. E
|
August 20, 2024
Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example
Nikolaos Evangelou, Dimitris G Giovanis, George A Kevrekidis, et al.
PNAS Nexus
|
June 19, 2026
Data-driven, ML-assisted approaches to problem well-posedness
Tom Bertalan, George A Kevrekidis, Eleni D Koronaki, et al.
PNAS Nexus
|
January 30, 2023
On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
Nikolaos Evangelou, Noah J Wichrowski, George A Kevrekidis, et al.
Scientific Reports
|
December 5, 2024
Neural network representations of multiphase Equations of State
George A Kevrekidis, Daniel A Serino, M Alexander R Kaltenborn, et al.
Page
of 1