2012
DOI: 10.1039/c2cp40173h
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Chebyshev high-dimensional model representation (Chebyshev-HDMR) potentials: application to reactive scattering of H2 from Pt(111) and Cu(111) surfaces

Abstract: Gas phase and surface reactions involving polyatomic molecules are of central importance to chemical physics, and require accurately fit potential energy surfaces describing the interaction in their systems. Here, we propose a method for generating a High Dimensional Model Representation (HDMR) of a multidimensional potential energy surface (PES) and apply it to reactive molecule-surface scattering problems. In the HDMR treatment, all N degrees of freedom (DOF) of an N-dimensional PES are represented but only … Show more

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Cited by 17 publications
(12 citation statements)
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References 98 publications
(121 reference statements)
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“…11,13,48,78,116,129,133,[141][142][143]145,161,163, The RPBE DF, which was designed to correct for overbinding of atoms and molecules on metal surfaces, 21 has also found much use in dynamics studies of H 2 -metal surface scattering. 53,114,[190][191][192][193][194][195][196][197][198][199] An indication of the level of accuracy that may be obtained with these functionals can be obtained by inspecting Table 1, where we have collected averages of mean unsigned errors (MUEs) in reaction barrier heights computed for two databases of gas phase chemical reactions (HTBH38/08 and NHTBH38/08) by Peverati and Truhlar 167 for a few selected functionals. 53,114,[190][191][192][193][194][195][196][197][198][199] An indication of the level of accuracy that may be obtained with these functionals can be obtained by inspecting Table 1, where we have collected averages of mean unsigned errors (MUEs) in reaction barrier heights computed for two databases of gas phase chemical reactions (HTBH38/08 and NHTBH38/08) by Peverati and Truhlar 167 for a few selected functionals.…”
Section: A Density Functional Theorymentioning
confidence: 99%
“…11,13,48,78,116,129,133,[141][142][143]145,161,163, The RPBE DF, which was designed to correct for overbinding of atoms and molecules on metal surfaces, 21 has also found much use in dynamics studies of H 2 -metal surface scattering. 53,114,[190][191][192][193][194][195][196][197][198][199] An indication of the level of accuracy that may be obtained with these functionals can be obtained by inspecting Table 1, where we have collected averages of mean unsigned errors (MUEs) in reaction barrier heights computed for two databases of gas phase chemical reactions (HTBH38/08 and NHTBH38/08) by Peverati and Truhlar 167 for a few selected functionals. 53,114,[190][191][192][193][194][195][196][197][198][199] An indication of the level of accuracy that may be obtained with these functionals can be obtained by inspecting Table 1, where we have collected averages of mean unsigned errors (MUEs) in reaction barrier heights computed for two databases of gas phase chemical reactions (HTBH38/08 and NHTBH38/08) by Peverati and Truhlar 167 for a few selected functionals.…”
Section: A Density Functional Theorymentioning
confidence: 99%
“…The calculation of the integrals has been subject of many works aiming to make RS-HDMRs feasible. [79,80,82,87,97] Lower order (<k) terms are also unnecessary but may still be used for the same reasons as in the nested NN scheme. Without them, the fit becomes simply…”
Section: Multibody and Multimode-like Representations By The Choice Omentioning
confidence: 99%
“…[92][93][94] When truncated at k < d, the representation is approximate, and it has been shown that vibrational levels computed with k 4 have errors of a few cm 21 . [95][96][97][98][99][100][101] The terms in each of the sums are called component functions. Instead of using an NN to directly fit a multidimensional PES, it is possible to use NNs to fit the component functions.…”
Section: Multibody and Multimode-like Representations By The Choice Omentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the energies calculated at particular geometries can be fit to an analytic functional form. 28,[31][32][33][34][35][36][37] The PES can be expressed in a neural network 38,39 or cluster-type [40][41][42] representation. Alternatively, there are several approaches based on local expansions around geometries where the energy and other properties have been calculated explicitly.…”
Section: Introductionmentioning
confidence: 99%