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Journal of Chemical Theory and Computation|January 25, 2023
Spectroscopy from Machine Learning by Accurately Representing the Atomic Polar TensorPhilipp SchienbeinJournal of Chemical Theory and Computation|April 29, 2026
Mimyria: Machine-Learned Vibrational Spectroscopy for Aqueous Systems Made SimplePhilipp SchienbeinPhysical Review. E|September 27, 2018
Investigation concerning the uniqueness of separatrix lines separating liquidlike from gaslike regimes deep in the supercritical phase of water with a focus on Widom line conceptsPhilipp Schienbein, Dominik MarxChemical Reviews|June 26, 2026
Theoretical Terahertz Spectroscopy of Aqueous Solutions: From Electronic Structure to Molecular UnderstandingPhilipp Schienbein, Dominik MarxThe Journal of Physical Chemistry Letters|August 28, 2025
THz Pump Pulse-Driven Temporal Response of Liquid Water Probed by Machine-Learning-Accelerated Non-Equilibrium Molecular DynamicsKit Joll, Philipp SchienbeinPhysical Chemistry Chemical Physics : PCCP|June 15, 2022
Nanosecond solvation dynamics of the hematite/liquid water interface at hybrid DFT accuracy using committee neural network potentialsPhilipp Schienbein, Jochen BlumbergerThe Journal of Physical Chemistry. B|November 8, 2017
Liquid-Vapor Phase Diagram of RPBE-D3 Water: Electronic Properties along the Coexistence Curve and in the Supercritical PhasePhilipp Schienbein, Dominik MarxPhysical Chemistry Chemical Physics : PCCP|November 14, 2019
Assessing the properties of supercritical water in terms of structural dynamics and electronic polarization effectsPhilipp Schienbein, Dominik MarxAngewandte Chemie (International Ed. in English)|August 5, 2020
Supercritical Water is not Hydrogen BondedPhilipp Schienbein, Dominik MarxChemphyschem : a European Journal of Chemical Physics and Physical Chemistry|October 4, 2024
Data-Efficient Active Learning for Thermodynamic Integration: Acidity Constants of BiVO4 in WaterPhilipp Schienbein, Jochen BlumbergerPageof 3