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David Rosenberger

Postdoc
T-1/CNLS

Computational Physics and Chemistry

David Rosenberger

Office: TA-3, Bldg 1690, Room 130
Mail Stop: B258
Phone:
Fax:

rosenberger@lanl.gov
home page

Research highlight
     Educational Background/Employment:
    • B.Sc. (2012) Chemistry, TU Darmstadt (Germany)
    • M.Sc. (2015) Chemistry, TU Darmstadt (Germany)
    • Ph.D. (2019) Chemistry, TU Darmstadt (Germany)

    Research Interests:

    • Method development for multiscale simulations of soft matter and high energy systems.
    • Improved sampling for molecular dynamics simulations.

    Selected Recent Publications:

    1. Rosenberger, D., Hanke, M., van der Vegt, N.F.A, Comparison of iterative inverse coarse-graining methods, The European Physical Journal Special Topics, 225, 1323-1345 (2016).
    2. Rosenberger, D., van der Vegt, N.F.A, Addressing the Temperature Transferability of Structure based Coarse Graining Models, Physical Chemistry Chemical Physics, 20, 6617-6628 (2018).
    3. Deichmann, G., Dallavalle, M., Rosenberger, D., van der Vegt, N.F.A, Phase Equilibria Modeling with Systematically Coarse-Grained Models - A Comparative Study on State Point Transferability, The Journal of Physical Chemistry B, 123, 1187-1198 (2019).
    4. Rosenberger, D., Sanyal, T., Shell, M.S., van der Vegt, N.F.A, , Transferability of Local Density-Assisted Implicit Solvation Models for Homogeneous Fluid Mixtures, Journal of Chemical Theory and Computation, 15, 2881-2895 (2019).
    5. Rosenberger, D., van der Vegt, N.F.A, Relative entropy indicates an ideal concentration for structure-based coarse graining of binary mixtures, Physical Review E, 99, 053308 (2019).
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