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The Journal of Chemical Physics|August 17, 2018
Three-dimensional phase field modeling of inhomogeneous gas-liquid systems using the PeTS equation of stateFelix Diewald, Michaela Heier, Martin Horsch, et al.Nature Communications|April 14, 2026
Thermodynamically consistent machine learning model for excess Gibbs energyMarco Hoffmann, Thomas Specht, Quirin Göttl, et al.Journal of Chemical Theory and Computation|June 17, 2026
Quantitative Modeling of Properties in the Extended Critical Region Requires Three-Body InteractionsIsabel Nitzke, Simon Stephan, Jadran VrabecThe Journal of Chemical Physics|July 9, 2025
Characteristic curves of water: A force field assessmentTristan Weik, Dennis Alt, Simon StephanThe Journal of Chemical Physics|June 3, 2024
Topology of thermodynamic potentials using physical models: Helmholtz, Gibbs, Grand, and NullIsabel Nitzke, Simon Stephan, Jadran VrabecChemical Science|June 3, 2022
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactionsFabian Jirasek, Robert Bamler, Sophie Fellenz, et al.European Cells & Materials|September 6, 2011
The influence of nutrient supply and cell density on the growth and survival of intervertebral disc cells in 3D cultureSimon Stephan, W Eustace Johnson, Sally RobertsCognitive Psychology|December 17, 2022
The perceived dilution of causal strengthSimon Stephan, Neele Engelmann, Michael R WaldmannCognitive Science|July 9, 2020
Time and Singular Causation-A Computational ModelSimon Stephan, Ralf Mayrhofer, Michael R WaldmannScientific Data|March 31, 2026
Batch Distillation Data for Developing Machine Learning Anomaly Detection MethodsJustus Arweiler, Indra Jungjohann, Aparna Muraleedharan, et al.Pageof 12