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Multimap free energy estimation

Authors :
Andrea Rizzi
Paolo Carloni
Michele Parrinello
Publication Year :
2023
Publisher :
Zenodo, 2023.

Abstract

Input files, molecular dynamics and OPES trajectories, CGenFF and DFTB3/3ob potential energies, and normalizing flow neural network models generated for the journal article: "Multimap targeted free energy estimation." Rizzi, Andrea, Paolo Carloni, and Michele Parrinello. arXiv preprint arXiv:2302.07683 (2023).<br />The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUWELS at Jülich Supercomputing Centre (JSC). The project received funding from the Helmholtz European Partnering program (``Innovative high-performance computing approaches for molecular neuromedicine").

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0304064ead560559f970c97bdbf205ea
Full Text :
https://doi.org/10.5281/zenodo.7746194