English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Improving the Efficiency of Electrostatic Embedding Using the Fast Multipole Method

MPS-Authors
/persons/resource/persons304516

Colinet,  Pauline
Research Group Manganas, Max-Planck-Institut für Kohlenforschung, Max Planck Society;

/persons/resource/persons216825

Neese,  Frank
Research Department Neese, Max-Planck-Institut für Kohlenforschung, Max Planck Society;

/persons/resource/persons216814

Helmich-Paris,  Benjamin
Research Group Helmich-Paris, Max-Planck-Institut für Kohlenforschung, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Colinet, P., Neese, F., & Helmich-Paris, B. (2025). Improving the Efficiency of Electrostatic Embedding Using the Fast Multipole Method. Journal of Computational Chemistry, 46(1): e27532. doi:10.1002/jcc.27532.


Cite as: https://hdl.handle.net/21.11116/0000-0010-600D-4
Abstract
This paper reports the improvement in the efficiency of embedded-cluster model (ECM) calculations in ORCA thanks to the implementation of the fast multipole method. Our implementation is based on state-of-the-art algorithms and revisits certain aspects, such as efficiently and accurately handling the extent of atomic orbital shell pairs. This enables us to decompose near-field and far-field terms in what we believe is a simple and effective manner. The main result of this work is an acceleration of the evaluation of electrostatic potential integrals by at least one order of magnitude, and up to two orders of magnitude, while maintaining excellent accuracy (always better than the chemical accuracy of 1 kcal/mol). Moreover, the implementation is versatile enough to be used with molecular systems through QM/MM approaches. The code has been fully parallelized and is available in ORCA 6.0.