235 citations · 527 across the 18 of their papers we have counts for
18 papers
How to use quantum computers for biomolecular free energies
Jakob Günther, Thomas Weymuth, Moritz Bensberg +18
Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide ran…
Machine Learning Enhanced Calculation of Quantum-Classical Binding Free Energies
Moritz Bensberg, Marco Eckhoff, F. Emil Thomasen +10
Binding free energies are a key element in understanding and predicting the strength of protein--drug interactions. While classical free energy simulations yield good results for m…
Hierarchical quantum embedding by machine learning for large molecular assemblies
Moritz Bensberg, Marco Eckhoff, Raphael T. Husistein +9
We present a quantum-in-quantum embedding strategy coupled to machine learning potentials to improve on the accuracy of quantum-classical hybrid models for the description of large…
Classification of electronic structures and state preparation for quantum computation of reaction chemistry
Maximilian Mörchen, Guang Hao Low, Thomas Weymuth +3
Quantum computation for chemical problems will require the construction of guiding states with sufficient overlap with a target state. Since easily available and initializable mean…
Heron: Visualizing and Controlling Chemical Reaction Explorations and Networks
Charlotte H. Müller, Miguel Steiner, Jan P. Unsleber +6
Automated and high-throughput quantum chemical investigations into chemical processes have become feasible in great detail and broad scope. This results in an increase in complexit…
SCINE -- Software for Chemical Interaction Networks
Thomas Weymuth, Jan P. Unsleber, Paul L. Tuertscher +11
The software for chemical interaction networks (SCINE) project aims at pushing the frontier of quantum chemical calculations on molecular structures to a new level. While calculati…