ABSTRACT: 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 intro-duced (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 malonal-dehyde 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...
Fueled by advances in hardware and algorithm design, large-scale automated explorations of chemical ...
Abstract: A hybrid quantum mechanical/molecular mechanical (QM/MM) potential energy function with Ha...
International audienceModeling chemical reactions using Quantum Chemistry is a widely used predictiv...
ABSTRACT: Finding transition paths for chemical reactions can be computationally costly owing to the...
For a detailed analysis of a chemical system, all relevant intermediates and elementary reactions on...
Studying organic reaction mechanisms using quantum chemical methods requires from the researcher an ...
We perform quantum Monte Carlo (QMC) calculations to determine minimum energy pathways of simple che...
We perform quantum Monte Carlo (QMC) calculations to determine minimum energy pathways of simple che...
Despite steady advances in the power of computer hardware, many computations on molecular systems re...
A number of new methods are presented to determine the reaction path both for chemical systems where...
The increasing computing power and the algorithmic improvements in quantum chemistry have been accel...
The long-due development of a computational method for the ab initio prediction of chemical reactant...
While structures and reactivities of many small molecules can be computed efficiently and accurately...
A variety of quantum mechanical methods have been developed and applied to the study of highly energ...
Semiclassical Transition State Theory (SCTST) is an efficient rate theory, which aims to calculate t...
Fueled by advances in hardware and algorithm design, large-scale automated explorations of chemical ...
Abstract: A hybrid quantum mechanical/molecular mechanical (QM/MM) potential energy function with Ha...
International audienceModeling chemical reactions using Quantum Chemistry is a widely used predictiv...
ABSTRACT: Finding transition paths for chemical reactions can be computationally costly owing to the...
For a detailed analysis of a chemical system, all relevant intermediates and elementary reactions on...
Studying organic reaction mechanisms using quantum chemical methods requires from the researcher an ...
We perform quantum Monte Carlo (QMC) calculations to determine minimum energy pathways of simple che...
We perform quantum Monte Carlo (QMC) calculations to determine minimum energy pathways of simple che...
Despite steady advances in the power of computer hardware, many computations on molecular systems re...
A number of new methods are presented to determine the reaction path both for chemical systems where...
The increasing computing power and the algorithmic improvements in quantum chemistry have been accel...
The long-due development of a computational method for the ab initio prediction of chemical reactant...
While structures and reactivities of many small molecules can be computed efficiently and accurately...
A variety of quantum mechanical methods have been developed and applied to the study of highly energ...
Semiclassical Transition State Theory (SCTST) is an efficient rate theory, which aims to calculate t...
Fueled by advances in hardware and algorithm design, large-scale automated explorations of chemical ...
Abstract: A hybrid quantum mechanical/molecular mechanical (QM/MM) potential energy function with Ha...
International audienceModeling chemical reactions using Quantum Chemistry is a widely used predictiv...