Tobias Morawietz, Ph.D.

2016- Chemistry Stanford University, Palo Alto, CA 
"Tobias Morawietz"
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Atsango AO, Morawietz T, Marsalek O, et al. (2023) Developing machine-learned potentials to simultaneously capture the dynamics of excess protons and hydroxide ions in classical and path integral simulations. The Journal of Chemical Physics. 159
Montoya-Castillo A, Chen MS, Raj SL, et al. (2022) Optically Induced Anisotropy in Time-Resolved Scattering: Imaging Molecular-Scale Structure and Dynamics in Disordered Media with Experiment and Theory. Physical Review Letters. 129: 056001
Chen MS, Morawietz T, Mori H, et al. (2021) AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentials. The Journal of Chemical Physics. 155: 074801
Morawietz T, Artrith N. (2020) Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. Journal of Computer-Aided Molecular Design
Chen MS, Zuehlsdorff TJ, Morawietz T, et al. (2020) Exploiting Machine Learning to Efficiently Predict Multidimensional Optical Spectra in Complex Environments. The Journal of Physical Chemistry Letters
Morawietz T, Urbina AS, Wise PK, et al. (2019) Hiding in the Crowd: Spectral Signatures of Overcoordinated Hydrogen Bond Environments. The Journal of Physical Chemistry Letters
Singraber A, Morawietz T, Behler J, et al. (2019) Parallel Multistream Training of High-Dimensional Neural Network Potentials. Journal of Chemical Theory and Computation
Singraber A, Morawietz T, Behler J, et al. (2018) Density anomaly of water at negative pressures from first principles. Journal of Physics. Condensed Matter : An Institute of Physics Journal
Morawietz T, Marsalek O, Pattenaude SR, et al. (2018) The Interplay of Structure and Dynamics in the Raman Spectrum of Liquid Water over the Full Frequency and Temperature Range. The Journal of Physical Chemistry Letters
Morawietz T, Handl M, Oldani C, et al. (2018) Influence of Water and Temperature on Ionomer in Catalytic Layers and Membranes of Fuel Cells and Electrolyzers Evaluated by AFM Fuel Cells. 18: 239-250
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