Literature DB >> 26292141

An Extended Charge Equilibration Method.

Christopher E Wilmer1, Ki Chul Kim1, Randall Q Snurr1.   

Abstract

We present a method for estimating partial atomic charges that uses all of the measured ionization energies (first, second, third, etc.) for every atom in the periodic table. We build on the charge equilibration (Qeq) method of Rappé and Goddard (which used only the first ionization energies) but reduce the number of ad hoc parameters from at least one for every type of atom to just two global parameters: a dielectric strength and a modified parameter for hydrogen atoms. Periodic electrostatic interactions are calculated via Ewald sums, and the partial charges are determined by simultaneously solving a system of linear equations; no iteration is required. We compare the predicted partial atomic charges of this extended charge equilibration (EQeq) scheme against plane-wave density-functional theory derived charges determined via the REPEAT method for 12 diverse metal-organic frameworks (MOFs). We also compare EQeq charges against ChelpG charges calculated using nonperiodic MOF fragments, as well as against Qeq charges as implemented in Accelrys Materials Studio. We demonstrate that for the purpose of ranking MOFs from best to worst for carbon capture applications, EQeq charges perform as well as charges derived from electrostatic potentials, but EQeq requires only a tiny fraction of the computational cost (seconds vs days for the MOFs studied). The source code for the EQeq algorithm is provided.

Entities:  

Keywords:  charge equilibration; electrostatics; metal−organic frameworks; molecular simulation; partial charges; rapid screening

Year:  2012        PMID: 26292141     DOI: 10.1021/jz3008485

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  22 in total

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6.  Theoretical evaluation of the performance of IRMOFs and M-MOF-74 in the formation of 5-fluorouracil@MOF.

Authors:  Nailton M Rodrigues; João B L Martins
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7.  Effects of Force Field Selection on the Computational Ranking of MOFs for CO2 Separations.

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Journal:  Ind Eng Chem Res       Date:  2018-01-18       Impact factor: 3.720

8.  Computational Screening of MOFs for Acetylene Separation.

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Journal:  Front Chem       Date:  2018-02-27       Impact factor: 5.221

9.  Performance-Based Screening of Porous Materials for Carbon Capture.

Authors:  Amir H Farmahini; Shreenath Krishnamurthy; Daniel Friedrich; Stefano Brandani; Lev Sarkisov
Journal:  Chem Rev       Date:  2021-08-10       Impact factor: 60.622

10.  In silico discovery of metal-organic frameworks for precombustion CO2 capture using a genetic algorithm.

Authors:  Yongchul G Chung; Diego A Gómez-Gualdrón; Peng Li; Karson T Leperi; Pravas Deria; Hongda Zhang; Nicolaas A Vermeulen; J Fraser Stoddart; Fengqi You; Joseph T Hupp; Omar K Farha; Randall Q Snurr
Journal:  Sci Adv       Date:  2016-10-14       Impact factor: 14.136

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