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All papers authored by David Rosenberger

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2023 Wangfei Yang, Clark Templeton

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, David Rosenberger

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, Andreas Bittracher, Feliks Nüske

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, Frank Noé, Cecilia Clementi

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Slicing and Dicing: Optimal Coarse-Grained Representation to Preserve Molecular Kinetics

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2022 David Rosenberger

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, Kipton Barros, Timothy C. Germann, Nicholas Lubbers

Machine learning of consistent thermodynamic models using automatic differentiation

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2021 David Rosenberger

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, Justin S. Smith, Angel E. Garcia

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Modeling of Peptides with Classical and Novel Machine Learning Force Fields: A Comparison

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2020 David Rosenberger

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, Nicholas Lubbers

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, Timothy C. Germann

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Evaluating diffusion and the thermodynamic factor for binary ionic mixtures

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A. Diaw

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, K. Barros, J. Haack

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, B. Keenan, Y. W. Li

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, N. Lubbers, M. McKerns

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, D. Rosenberger

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, T. C. Germann

Multiscale simulation of plasma flows using active learning

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2019 David Rosenberger

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, Nico F. A. van der Vegt

Relative entropy indicates an ideal concentration for structure-based coarse graining of binary mixtures

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David Rosenberger

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, Tanmoy Sanyal, M. Scott Shell

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, Nico F. A. van der Vegt

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Transferability of Local Density-Assisted Implicit Solvation Models for Homogeneous Fluid Mixtures

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2018 Gregor Deichmann

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, Marco Dallavalle, David Rosenberger

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, Nico F. A. van der Vegt

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Phase Equilibria Modeling with Systematically Coarse-Grained Models—A Comparative Study on State Point Transferability

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David Rosenberger

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, Nico F. A. van der Vegt

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Addressing the temperature transferability of structure based coarse graining models

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2016 David Rosenberger

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, Martin Hanke, Nico F. A. van der Vegt

Comparison of iterative inverse coarse-graining methods

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