Suppr超能文献

使用快速多极子方法提高静电嵌入效率。

Improving the Efficiency of Electrostatic Embedding Using the Fast Multipole Method.

作者信息

Colinet Pauline, Neese Frank, Helmich-Paris Benjamin

机构信息

Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr, Germany.

出版信息

J Comput Chem. 2025 Jan 5;46(1):e27532. doi: 10.1002/jcc.27532.

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.

摘要

本文报道了由于快速多极子方法的实现,ORCA中嵌入式簇模型(ECM)计算效率的提高。我们的实现基于最先进的算法,并重新审视了某些方面,例如高效且准确地处理原子轨道壳层对的范围。这使我们能够以一种我们认为简单有效的方式分解近场和远场项。这项工作的主要成果是,在保持优异精度(始终优于1 kcal/mol的化学精度)的同时,静电势积分的评估加速了至少一个数量级,最高可达两个数量级。此外,该实现具有足够的通用性,可通过QM/MM方法用于分子系统。代码已完全并行化,可在ORCA 6.0中使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/215c/11629610/a77a69af3ff2/JCC-46-0-g006.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验