Philipp Marquetand

According to our database, Philipp Marquetand authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

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