5 papers · 1 filter
Multiscale Embedding for Quantum Computing
Leah P. Weisburn, Minsik Cho, Moritz Bensberg +3
We present a novel multi-scale embedding scheme that links conventional QM/MM embedding and bootstrap embedding (BE) to allow simulations of large chemical systems on limited quant…
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…
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…