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      Fast Predictions of Reaction Barrier Heights: Toward Coupled-Cluster Accuracy

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          A climbing image nudged elastic band method for finding saddle points and minimum energy paths

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            Ensemble Methods in Machine Learning

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              Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements

              Several modifications that have been made to the NDDO core-core interaction term and to the method of parameter optimization are described. These changes have resulted in a more complete parameter optimization, called PM6, which has, in turn, allowed 70 elements to be parameterized. The average unsigned error (AUE) between calculated and reference heats of formation for 4,492 species was 8.0 kcal mol−1. For the subset of 1,373 compounds involving only the elements H, C, N, O, F, P, S, Cl, and Br, the PM6 AUE was 4.4 kcal mol−1. The equivalent AUE for other methods were: RM1: 5.0, B3LYP 6–31G*: 5.2, PM5: 5.7, PM3: 6.3, HF 6–31G*: 7.4, and AM1: 10.0 kcal mol−1. Several long-standing faults in AM1 and PM3 have been corrected and significant improvements have been made in the prediction of geometries. Figure Calculated structure of the complex ion [Ta6Cl12]2+ (footnote): Reference value in parenthesis Electronic supplementary material The online version of this article (doi:10.1007/s00894-007-0233-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
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                Journal
                The Journal of Physical Chemistry A
                J. Phys. Chem. A
                American Chemical Society (ACS)
                1089-5639
                1520-5215
                June 30 2022
                June 21 2022
                June 30 2022
                : 126
                : 25
                : 3976-3986
                Affiliations
                [1 ]Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
                Article
                10.1021/acs.jpca.2c02614
                35727075
                41ca9d7e-719c-4246-aef5-1951affd8187
                © 2022

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-045

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