Johannes Zimmer
- Statistical-Physics-Informed Neural Networks (Stat-PINNs): A Machine Learning Strategy for Coarse-graining Dissipative Dynamics
2023/12/10 by Shenglin Huang, Huang, Shenglin, Zequn He +7 · 8 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Machine Learning in Materials Science #Model Reduction and Neural Networks #Protein Structure and Dynamics #Statistical Mechanics (cond-mat.stat-mech)
- Orthogonality of Fluxes in General Nonlinear Reaction Networks
2019/12/13 by Johannes Zimmer, Zimmer, Johannes, D. R. Michiel Renger +1 · 3 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #FOS: Physical sciences #Gene Regulatory Network Analysis #Mathematical Physics (math-ph) #Neural dynamics and brain function
- Well-posedness for a regularised inertial Dean-Kawasaki model for\n slender particles in several space dimensions
2020/05/12 by Federico Cornalba, Tony Shardlow, Cornalba, Federico +3 · 2 citations
Engineering · Mathematics · #35R60 #60H15 #Analysis of PDEs (math.AP) #FOS: Mathematics #Particle Dynamics in Fluid Flows #Statistical Methods and Bayesian Inference #Stochastic processes and statistical mechanics
- Well-Posedness for Dean-Kawasaki Models of Vlasov-Fokker-Planck Type
2024/11/21 by Fenna Müller, Müller, Fenna, Max von Renesse +3 · 3 citations
Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #60G #82C #Analysis of PDEs (math.AP) #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Probability (math.PR) #Random Matrices and Applications #Statistical Mechanics and Entropy #Stochastic processes and financial applications