Philipp Marquetand

According to our database, Philipp Marquetand authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Excited-state nonadiabatic dynamics in explicit solvent using machine learned interatomic potentials.

Maximilian X. Tiefenbacher, Brigitta Bachmair, Cheng Giuseppe Chen, Julia Westermayr, Philipp Marquetand, Johannes C. B. Dietschreit, Leticia González

CoRR, January, 2025

2022

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks.

Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs

Nat. Comput. Sci., 2022

Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?

Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Machine learning and excited-state molecular dynamics.

Julia Westermayr, Philipp Marquetand

Mach. Learn. Sci. Technol., 2020

Neural networks and kernel ridge regression for excited states dynamics of CH2NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models.

Julia Westermayr, Felix A. Faber, Anders S. Christensen, O. Anatole von Lilienfeld, Philipp Marquetand

Mach. Learn. Sci. Technol., 2020

Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics.

Julia Westermayr, Michael Gastegger, Philipp Marquetand

CoRR, 2020