2019
DOI: 10.1007/s10562-019-02705-x
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Predicting Chemical Reaction Barriers with a Machine Learning Model

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Cited by 91 publications
(83 citation statements)
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“…[62][63][64][65][66][67][68] In other areas, including organic synthesis, [69][70][71][72][73] and theoretical [74][75][76][77][78][79][80][81] and inorganic 82,83 chemistry, the use of ML is rapidly growing. In catalysis, 84,85 several examples have been reported for both heterogeneous [86][87][88][89][90][91][92][93] and homogeneous [94][95][96][97][98] systems.…”
Section: Introductionmentioning
confidence: 99%
“…[62][63][64][65][66][67][68] In other areas, including organic synthesis, [69][70][71][72][73] and theoretical [74][75][76][77][78][79][80][81] and inorganic 82,83 chemistry, the use of ML is rapidly growing. In catalysis, 84,85 several examples have been reported for both heterogeneous [86][87][88][89][90][91][92][93] and homogeneous [94][95][96][97][98] systems.…”
Section: Introductionmentioning
confidence: 99%
“…Second, generation of new computer software makes possible the compilation of larger and larger models. The growing application of machine learning techniques is being used to partially automate the determination of rate constants and probe reaction pathways from first principles, which can help with kinetic model construction …”
Section: Resultsmentioning
confidence: 99%
“…Singh et al similarly predicted reaction barriers for a small data set of dehydrogenation reactions involving N 2 and O 2 dissociation on surfaces. 22 Their model also required the reaction energy as additional input.…”
Section: Mpnnmentioning
confidence: 99%