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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
Title
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
49
1
0
12 May 2024
Perfecting Liquid-State Theories with Machine Intelligence
Perfecting Liquid-State Theories with Machine Intelligence
Jianzhong Wu
Mengyang Gu
AI4CE
26
11
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 theory
Antonio Malpica-Morales
P. Yatsyshin
M. Durán-Olivencia
S. Kalliadasis
15
13
0
13 Sep 2023
Generalised Bayesian Inference for Discrete Intractable Likelihood
Generalised Bayesian Inference for Discrete Intractable Likelihood
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
112
19
0
16 Jun 2022
1