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Linear scaling computation of forces for the domain-decomposition linear Poisson-Boltzmann method.
Jha, Abhinav; Nottoli, Michele; Mikhalev, Aleksandr; Quan, Chaoyu; Stamm, Benjamin.
Afiliação
  • Jha A; Institute of Applied Analysis and Numerical Simulation, Universität Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
  • Nottoli M; Institute of Applied Analysis and Numerical Simulation, Universität Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
  • Mikhalev A; Applied and Computational Mathematics, RWTH Aachen University, Schinkelstraße 2, 52062 Aachen, Germany.
  • Quan C; Shenzhen International Center for Mathematics , Southern University of Science and Technology, Shenzhen, China.
  • Stamm B; Institute of Applied Analysis and Numerical Simulation, Universität Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
J Chem Phys ; 158(10): 104105, 2023 Mar 14.
Article em En | MEDLINE | ID: mdl-36922147
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article