Smooth particle mesh Ewald-integrated stochastic Lanczos many-body dispersion algorithm.

Autor: Poier, Pier Paolo, Lagardère, Louis, Piquemal, Jean-Philip
Předmět:
Zdroj: Journal of Chemical Physics; 2023, Vol. 159 Issue 15, p1-11, 11p
Abstrakt: We derive and implement an alternative formulation of the Stochastic Lanczos algorithm to be employed in connection with the Many-Body Dispersion model (MBD). Indeed, this formulation, which is only possible due to the Stochastic Lanczos' reliance on matrix-vector products, introduces generalized dipoles and fields. These key quantities allow for a state-of-the-art treatment of periodic boundary conditions via the O (N log (N)) Smooth Particle Mesh Ewald (SPME) approach which uses efficient fast Fourier transforms. This SPME-Lanczos algorithm drastically outperforms the standard replica method which is affected by a slow and conditionally convergence rate that limits an efficient and reliable inclusion of long-range periodic boundary conditions interactions in many-body dispersion modelling. The proposed algorithm inherits the embarrassingly parallelism of the original Stochastic Lanczos scheme, thus opening up for a fully converged and efficient periodic boundary conditions treatment of MBD approaches. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index