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Finding Chemical Reaction Paths with a Multilevel Preconditioning Protocol
Author(s) -
Seyit Kale,
Olaseni Sode,
Jonathan Weare,
Aaron R. Dinner
Publication year - 2014
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct500852y
Subject(s) - density functional theory , quantum chemical , path (computing) , computer science , tautomer , chemical reaction , computational chemistry , quantum , chemistry , transition state , statistical physics , physics , quantum mechanics , molecule , stereochemistry , biochemistry , catalysis , programming language
Finding transition paths for chemical reactions can be computationally costly owing to the level of quantum-chemical theory needed for accuracy. Here, we show that a multilevel preconditioning scheme that was recently introduced (Tempkin et al. J. Chem. Phys. 2014 , 140 , 184114) can be used to accelerate quantum-chemical string calculations. We demonstrate the method by finding minimum-energy paths for two well-characterized reactions: tautomerization of malonaldehyde and Claissen rearrangement of chorismate to prephanate. For these reactions, we show that preconditioning density functional theory (DFT) with a semiempirical method reduces the computational cost for reaching a converged path that is an optimum under DFT by several fold. The approach also shows promise for free energy calculations when thermal noise can be controlled.

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