中文版 | English
Title

Linear scaling computation of forces for the domain-decomposition linear Poisson-Boltzmann method

Author
Corresponding AuthorJha, Abhinav; Jha, Abhinav
Publication Years
2023-03-14
DOI
Source Title
ISSN
0021-9606
EISSN
1089-7690
Volume158Issue:10
Abstract
The Linearized Poisson-Boltzmann (LPB) equation is a popular and widely accepted model for accounting solvent effects in computational (bio-) chemistry. In the present article, we derive the analytical forces using the domain-decomposition-based LPB-method with a van-der Waals or solvent-accessible surface. We present an efficient strategy to compute the forces and its implementation, allowing linear scaling of the method with respect to the number of atoms using the fast multipole method. Numerical tests illustrate the accuracy of the computation of the analytical forces and compare the efficiency with other available methods.

© 2023 Author(s).

URL[Source Record]
Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Others
Funding Project
C.Q. is supported by NSFC Grant No. 12271241, the fund of the Guangdong Provincial Key Laboratory of Computational Science and Material Design (Grant No. 2019B030301001), and Shenzhen Science and Technology Program (Grant No. RCYX20210609104358076). A.J., A.M., and B.S. acknowledge support by the German Research Foundation (DFG), under Project No. 440641818. The authors acknowledge support by the state of Baden-Württemberg through bwHPC.
WOS Research Area
Chemistry ; Physics
WOS Subject
Chemistry, Physical ; Physics, Atomic, Molecular & Chemical
WOS Accession No
WOS:000946165200012
Publisher
EI Accession Number
20231113727533
EI Keywords
Boltzmann Equation ; Computational Chemistry ; Domain Decomposition Methods ; Numerical Methods ; Poisson Equation ; Solvents ; Van Der Waals Forces
ESI Classification Code
Chemistry:801 ; Physical Chemistry:801.4 ; Chemical Agents And Basic Industrial Chemicals:803 ; Calculus:921.2 ; Numerical Methods:921.6 ; Statistical Methods:922 ; Atomic And Molecular Physics:931.3
ESI Research Field
CHEMISTRY
Data Source
EV Compendex
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/519807
Affiliation
1.Institute of Applied Analysis and Numerical Simulation, Universität Stuttgart, Pfaffenwaldring 57, Stuttgart; 70569, Germany
2.Applied and Computational Mathematics, RWTH Aachen University, Schinkelstraße 2, Aachen; 52062, Germany
3.Shenzhen International Center for Mathematics, Southern University of Science and Technology, Shenzhen, China
4.Institute of Applied Analysis and Numerical Simulation, Universität Stuttgart, Pfaffenwaldring 57, Stuttgart; 70569, Germany
5.Applied and Computational Mathematics, RWTH Aachen University, Schinkelstraße 2, Aachen; 52062, Germany
6.Shenzhen International Center for Mathematics, Southern University of Science and Technology, Shenzhen, China
Recommended Citation
GB/T 7714
Jha, Abhinav,Nottoli, Michele,Mikhalev, Aleksandr,et al. Linear scaling computation of forces for the domain-decomposition linear Poisson-Boltzmann method[J]. JOURNAL OF CHEMICAL PHYSICS,2023,158(10).
APA
Jha, Abhinav.,Nottoli, Michele.,Mikhalev, Aleksandr.,Quan, Chaoyu.,Stamm, Benjamin.,...&Stamm, Benjamin.(2023).Linear scaling computation of forces for the domain-decomposition linear Poisson-Boltzmann method.JOURNAL OF CHEMICAL PHYSICS,158(10).
MLA
Jha, Abhinav,et al."Linear scaling computation of forces for the domain-decomposition linear Poisson-Boltzmann method".JOURNAL OF CHEMICAL PHYSICS 158.10(2023).
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