Stefan Kesselheim

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Molecular Dynamics Simulations

Machine Learning

Top Venues

Nature computational science

Nature communications

The European physical journal. E, Soft matter

This page only lists publications with an associated author ORCID identifier.

Publications

Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radosław Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian Joachim Theis, Michael Sattler, Grzegorz Maria Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nature computational science 4 (5) (2024)
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radosław Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian Joachim Theis, Michael Sattler, Grzegorz Maria Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nature computational science 4 (5) (2024)
Max Pargmann, Jan Ebert, Markus Götz, Daniel Maldonado Quinto, Robert Pitz-Paal, Stefan Kesselheim
Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing. Nature communications 15 (1) (2024)
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radosław Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian Joachim Theis, Michael Sattler, Grzegorz Maria Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nature computational science (2024)
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radosław Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian Joachim Theis, Michael Sattler, Grzegorz Maria Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nature computational science 4 (5) (2024)
Max Pargmann, Jan Ebert, Markus Götz, Daniel Maldonado Quinto, Robert Pitz-Paal, Stefan Kesselheim
Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing. Nature communications 15 (1) (2024)
Max Pargmann, Jan Ebert, Markus Götz, Daniel Maldonado Quinto, Robert Pitz-Paal, Stefan Kesselheim
Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing. Nature communications 15 (1) (2024)
Alexander Schlaich, Sandeep Tyagi, Stefan Kesselheim, Marcello Sega, Christian Holm
Renormalized charge and dielectric effects in colloidal interactions: a numerical solution of the nonlinear Poisson-Boltzmann equation for unknown boundary conditions. The European physical journal. E, Soft matter 46 (9) (2023)