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Physics-constrained Bayesian inference of state functions in classical
  density-functional theory
v1v2v3v4 (latest)

Physics-constrained Bayesian inference of state functions in classical density-functional theory

7 October 2020
P. Yatsyshin
S. Kalliadasis
Andrew B. Duncan
ArXiv (abs)PDFHTML

Papers citing "Physics-constrained Bayesian inference of state functions in classical density-functional theory"

4 / 4 papers shown
Forecasting with an N-dimensional Langevin Equation and a
  Neural-Ordinary Differential Equation
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Antonio Malpica-Morales
M. Durán-Olivencia
S. Kalliadasis
AI4TS
257
1
0
12 May 2024
Perfecting Liquid-State Theories with Machine Intelligence
Perfecting Liquid-State Theories with Machine Intelligence
Jianzhong Wu
Mengyang Gu
AI4CE
128
16
0
09 Nov 2023
Physics-informed Bayesian inference of external potentials in classical
  density-functional theory
Physics-informed Bayesian inference of external potentials in classical density-functional theoryJournal of Chemical Physics (JCP), 2023
Antonio Malpica-Morales
P. Yatsyshin
M. Durán-Olivencia
S. Kalliadasis
126
17
0
13 Sep 2023
Generalised Bayesian Inference for Discrete Intractable Likelihood
Generalised Bayesian Inference for Discrete Intractable LikelihoodJournal of the American Statistical Association (JASA), 2022
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
421
26
0
16 Jun 2022
1
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