Literature DB >> 22790422

O(N) methods in electronic structure calculations.

D R Bowler1, T Miyazaki.   

Abstract

Linear-scaling methods, or O(N) methods, have computational and memory requirements which scale linearly with the number of atoms in the system, N, in contrast to standard approaches which scale with the cube of the number of atoms. These methods, which rely on the short-ranged nature of electronic structure, will allow accurate, ab initio simulations of systems of unprecedented size. The theory behind the locality of electronic structure is described and related to physical properties of systems to be modelled, along with a survey of recent developments in real-space methods which are important for efficient use of high-performance computers. The linear-scaling methods proposed to date can be divided into seven different areas, and the applicability, efficiency and advantages of the methods proposed in these areas are then discussed. The applications of linear-scaling methods, as well as the implementations available as computer programs, are considered. Finally, the prospects for and the challenges facing linear-scaling methods are discussed.

Year:  2012        PMID: 22790422     DOI: 10.1088/0034-4885/75/3/036503

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  23 in total

1.  Density-functional theory study of gramicidin A ion channel geometry and electronic properties.

Authors:  Milica Todorović; David R Bowler; Michael J Gillan; Tsuyoshi Miyazaki
Journal:  J R Soc Interface       Date:  2013-09-25       Impact factor: 4.118

2.  A grid-based variational method to the solution of the Schrödinger equation: the q-exponential and the near Hartree-Fock results for the ground state atomic energies.

Authors:  Rogério Custodio; Guilherme de Souza Tavares de Morais; Maurício Gustavo Rodrigues
Journal:  J Mol Model       Date:  2018-07-02       Impact factor: 1.810

3.  Self-assembled quantum dots in a nanowire system for quantum photonics.

Authors:  M Heiss; Y Fontana; A Gustafsson; G Wüst; C Magen; D D O'Regan; J W Luo; B Ketterer; S Conesa-Boj; A V Kuhlmann; J Houel; E Russo-Averchi; J R Morante; M Cantoni; N Marzari; J Arbiol; A Zunger; R J Warburton; A Fontcuberta i Morral
Journal:  Nat Mater       Date:  2013-02-03       Impact factor: 43.841

Review 4.  Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications.

Authors:  Anders S Christensen; Tomáš Kubař; Qiang Cui; Marcus Elstner
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

5.  Large-scale QM/MM free energy simulations of enzyme catalysis reveal the influence of charge transfer.

Authors:  Heather J Kulik
Journal:  Phys Chem Chem Phys       Date:  2018-08-08       Impact factor: 3.676

6.  Fragmentation Method for Computing Quantum Mechanics and Molecular Mechanics Gradients for Force Matching: Validation with Hydration Free Energy Predictions Using Adaptive Force Matching.

Authors:  Dong Zheng; Ying Yuan; Feng Wang
Journal:  J Phys Chem A       Date:  2022-04-14       Impact factor: 2.944

7.  New scaling relations to compute atom-in-material polarizabilities and dispersion coefficients: part 2. Linear-scaling computational algorithms and parallelization.

Authors:  Thomas A Manz; Taoyi Chen
Journal:  RSC Adv       Date:  2019-10-17       Impact factor: 4.036

8.  Density functional theory in materials science.

Authors:  Jörg Neugebauer; Tilmann Hickel
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2013-01-08

Review 9.  Recent advances in QM/MM free energy calculations using reference potentials.

Authors:  Fernanda Duarte; Beat A Amrein; David Blaha-Nelson; Shina C L Kamerlin
Journal:  Biochim Biophys Acta       Date:  2014-07-16

10.  Performance analysis of electronic structure codes on HPC systems: a case study of SIESTA.

Authors:  Fabiano Corsetti
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

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