2020
DOI: 10.1002/anie.202011941
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autodE: Automated Calculation of Reaction Energy Profiles— Application to Organic and Organometallic Reactions

Abstract: Calculating reaction energy profiles to aid in mechanistic elucidation has long been the domain of the expert computational chemist. Here, we introduce autodE (https://github.com/duartegroup/autodE), an open‐source Python package capable of locating transition states (TSs) and minima and delivering a full reaction energy profile from 1D or 2D chemical representations. autodE is broadly applicable to study organic and organometallic reaction classes, including addition, substitution, elimination, migratory inse… Show more

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Cited by 57 publications
(75 citation statements)
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“…Over the last several years, computational chemistry has witnessed a surge in the development of methods for reaction mechanism discovery 1–65 . Many of these methods predict complex reaction networks in an automated manner, where the search of reactions is usually more thorough than the traditional “by hand” approach.…”
Section: Introductionmentioning
confidence: 99%
“…Over the last several years, computational chemistry has witnessed a surge in the development of methods for reaction mechanism discovery 1–65 . Many of these methods predict complex reaction networks in an automated manner, where the search of reactions is usually more thorough than the traditional “by hand” approach.…”
Section: Introductionmentioning
confidence: 99%
“…Molecular DFT, MP2 and coupled cluster [DLPNO-CCSD(T)] calculations used for training were performed with ORCA 92,93 v. 4.2.1 wrapped with autodE 94 using PBE 87 and PBE0 89 functionals, (ma)-def2-SVP, def2-TZVP and ma-def2-TZVPP basis sets. 95 AIMD calculations at the DFTB level were performed with DFTB+ with 3ob parameters 83 and MM simulations were carried out with GROMACS 96,97 2019.2 with TIP3P parameters.…”
Section: Methodsmentioning
confidence: 99%
“…3). 96,97 As an example, promising solvents can be identified using mixed-integer programming (MIP) based on quantum mechanical computer-aided molecular design. 98 Models of a different nature, i.e., process simulations, LCA studies, and network models, are built next to elucidate whether technologies can add value at an industrial scale (layer 3 of Fig.…”
Section: Pse Provides a Conceptual And Methodological Framework To Improve The Chemical Supply Chain Across Multiple Temporalmentioning
confidence: 99%