Literature DB >> 29262249

Atom-Centered Potentials with Dispersion-Corrected Minimal-Basis-Set Hartree-Fock: An Efficient and Accurate Computational Approach for Large Molecular Systems.

Viki Kumar Prasad1, Alberto Otero-de-la-Roza1, Gino A DiLabio1,2.   

Abstract

We present a computational methodology based on atom-centered potentials (ACPs) for the efficient and accurate structural modeling of large molecular systems. ACPs are atom-centered one-electron potentials that have the same functional form as effective-core potentials. In recent works, we showed that ACPs can be used to produce a correction to the ground-state wave function and electronic energy to alleviate shortcomings in the underlying model chemistry. In this work, we present ACPs for H, C, N, and O atoms that are specifically designed to predict accurate non-covalent binding energies and inter- and intramolecular geometries when combined with dispersion-corrected Hartree-Fock (HF-D3) and a minimal basis-set (scaled MINI or MINIs). For example, the combined HF-D3/MINIs-ACP method demonstrates excellent performance, with mean absolute errors of 0.36 and 0.28 kcal/mol for the S22x5 and S66x8 benchmark sets, respectively, relative to highly correlated complete-basis-set data. The application of ACPs results in a significant decrease in error compared to uncorrected HF-D3/MINIs for all benchmark sets examined. In addition, HF-D3/MINIs-ACP, has a cost only slightly higher than a minimal-basis-set HF calculation and can be used with any electronic structure program for molecular quantum chemistry that uses Gaussian basis sets and effective-core potentials.

Entities:  

Year:  2018        PMID: 29262249     DOI: 10.1021/acs.jctc.7b01158

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

1.  BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds.

Authors:  Viki Kumar Prasad; M Hossein Khalilian; Alberto Otero-de-la-Roza; Gino A DiLabio
Journal:  Sci Data       Date:  2021-11-23       Impact factor: 6.444

2.  PEPCONF, a diverse data set of peptide conformational energies.

Authors:  Viki Kumar Prasad; Alberto Otero-de-la-Roza; Gino A DiLabio
Journal:  Sci Data       Date:  2019-01-22       Impact factor: 6.444

3.  A Novel Method for Calculation of Molecular Energies and Charge Distributions by Thermodynamic Formalization.

Authors:  TongIl Kim; ChungIl Ri; HakSung Yun; RyongNam An; GwangBok Han; SungIl Chae; GyongNam Kim; GwangChol Jong; Yung Jon
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

  3 in total

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