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20242026
most citedThe CP2K Program Package Made Simple

1 citations · 1 across the 4 of their papers we have counts for

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physics.chem-ph2026

CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response

Jan Wilhelm, Anna-Sophia Hehn, Hossam Elgabarty +39

One of the distinguishing aspects of CP2K is its seamless integration of diverse structural and transition-state optimization techniques with advanced sampling approaches including…

physics.chem-ph2026

Aromatic Molecule Solvation in Liquid Water with Coupled Cluster Accuracy: The Balance of Pi-Interactions and Hydrophobicity

Nore Stolte, Harald Forbert, Yury Lysogorskiy +2

Aromatic organic solutes in water exhibit a delicate balance between hydrophobic solvation and directional O-H hydrogen bonds, yet widely used force fields and state-of-t…

physics.chem-ph2025

Resolving the Nature of the Lowest-Frequency Raman Mode of Liquid Water

Florian Pabst, Harald Forbert, Dominik Marx

The lowest-frequency Raman mode of water, observed through depolarized light scattering or optical Kerr effect techniques, is routinely used to track dynamic changes in water molec…

physics.chem-ph20244 cited

When Theory Meets Experiment: What Does it Take to Accurately Predict H NMR Dipolar Relaxation Rates in Neat Liquid Water from Theory?

Dietmar Paschek, Johanna Busch, Angel Mary Chiramel Tony +5

In this contribution, we compute the H nuclear magnetic resonance (NMR) relaxation rate of liquid water at ambient conditions. We are using structural and dynamical information…

physics.chem-ph202427 cited

Nuclear Quantum Effects in Liquid Water Are Negligible for Structure but Significant for Dynamics

Nore Stolte, János Daru, Harald Forbert +2

Isotopic substitution, which can be realized both in experiment and computer simulations, is a direct approach to assess the role of nuclear quantum effects on the structure and dy…

physics.chem-ph202415 cited

Random sampling versus active learning algorithms for machine learning potentials of quantum liquid water

Nore Stolte, János Daru, Harald Forbert +2

Training accurate machine learning potentials requires electronic structure data comprehensively covering the configurational space of the system of interest. As the construction o…