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Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal
  Particles

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles

30 April 2022
N. Evangelou
Felix Dietrich
J. M. Bello-Rivas
Alex J Yeh
Rachel Stein
M. Bevan
Ioannis G. Kevekidis
    DiffM
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Papers citing "Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles"

5 / 5 papers shown
Title
From Noise to Signal: Unveiling Treatment Effects from Digital Health
  Data through Pharmacology-Informed Neural-SDE
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE
Samira Pakravan
Nikolaos Evangelou
Maxime Usdin
Logan Brooks
James Lu
23
0
0
05 Mar 2024
Tipping Points of Evolving Epidemiological Networks: Machine
  Learning-Assisted, Data-Driven Effective Modeling
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling
N. Evangelou
Tianqi Cui
J. M. Bello-Rivas
Alexei Makeev
Ioannis G. Kevrekidis
30
1
0
01 Nov 2023
Machine Learning for the identification of phase-transitions in
  interacting agent-based systems: a Desai-Zwanzig example
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
N. Evangelou
Dimitrios G. Giovanis
George A. Kevrekidis
G. Pavliotis
Ioannis G. Kevrekidis
11
0
0
29 Oct 2023
Early warning indicators via latent stochastic dynamical systems
Early warning indicators via latent stochastic dynamical systems
Lingyu Feng
Ting Gao
Wang Xiao
Jinqiao Duan
13
2
0
07 Sep 2023
Discovering mesoscopic descriptions of collective movement with neural
  stochastic modelling
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling
Utkarsh Pratiush
Arshed Nabeel
Vishwesha Guttal
A. Prathosh
27
1
0
17 Mar 2023
1