Literature DB >> 27004867

Multilevel summation with B-spline interpolation for pairwise interactions in molecular dynamics simulations.

David J Hardy1, Matthew A Wolff2, Jianlin Xia3, Klaus Schulten1, Robert D Skeel2.   

Abstract

The multilevel summation method for calculating electrostatic interactions in molecular dynamics simulations constructs an approximation to a pairwise interaction kernel and its gradient, which can be evaluated at a cost that scales linearly with the number of atoms. The method smoothly splits the kernel into a sum of partial kernels of increasing range and decreasing variability with the longer-range parts interpolated from grids of increasing coarseness. Multilevel summation is especially appropriate in the context of dynamics and minimization, because it can produce continuous gradients. This article explores the use of B-splines to increase the accuracy of the multilevel summation method (for nonperiodic boundaries) without incurring additional computation other than a preprocessing step (whose cost also scales linearly). To obtain accurate results efficiently involves technical difficulties, which are overcome by a novel preprocessing algorithm. Numerical experiments demonstrate that the resulting method offers substantial improvements in accuracy and that its performance is competitive with an implementation of the fast multipole method in general and markedly better for Hamiltonian formulations of molecular dynamics. The improvement is great enough to establish multilevel summation as a serious contender for calculating pairwise interactions in molecular dynamics simulations. In particular, the method appears to be uniquely capable for molecular dynamics in two situations, nonperiodic boundary conditions and massively parallel computation, where the fast Fourier transform employed in the particle-mesh Ewald method falls short.

Mesh:

Year:  2016        PMID: 27004867      PMCID: PMC4808071          DOI: 10.1063/1.4943868

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  15 in total

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3.  MODYLAS: A Highly Parallelized General-Purpose Molecular Dynamics Simulation Program for Large-Scale Systems with Long-Range Forces Calculated by Fast Multipole Method (FMM) and Highly Scalable Fine-Grained New Parallel Processing Algorithms.

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4.  Scalable molecular dynamics with NAMD.

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Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

Review 5.  Electrostatics calculations: latest methodological advances.

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Review 6.  CHARMM: the biomolecular simulation program.

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Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

7.  Accelerating molecular dynamic simulation on graphics processing units.

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8.  Correcting Mesh-Based Force Calculations to Conserve Both Energy and Momentum in Molecular Dynamics Simulations.

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9.  VMD: visual molecular dynamics.

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10.  Multilevel summation for dispersion: a linear-time algorithm for r(-6) potentials.

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Journal:  J Chem Phys       Date:  2014-01-14       Impact factor: 3.488

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  3 in total

1.  Multilevel summation for periodic electrostatics using B-splines.

Authors:  Hüseyin Kaya; David J Hardy; Robert D Skeel
Journal:  J Chem Phys       Date:  2021-04-14       Impact factor: 3.488

Review 2.  Accelerators for Classical Molecular Dynamics Simulations of Biomolecules.

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Journal:  J Chem Theory Comput       Date:  2022-06-16       Impact factor: 6.578

Review 3.  Review of Electrostatic Force Calculation Methods and Their Acceleration in Molecular Dynamics Packages Using Graphics Processors.

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Journal:  ACS Omega       Date:  2022-09-08
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