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Atoms, molecules, solids, and surfaces: Applications of the generalized gradient approximation for exchange and correlation.

TLDR
A way is found to visualize and understand the nonlocality of exchange and correlation, its origins, and its physical effects as well as significant interconfigurational and interterm errors remain.
Abstract
Generalized gradient approximations (GGA's) seek to improve upon the accuracy of the local-spin-density (LSD) approximation in electronic-structure calculations. Perdew and Wang have developed a GGA based on real-space cutoff of the spurious long-range components of the second-order gradient expansion for the exchange-correlation hole. We have found that this density functional performs well in numerical tests for a variety of systems: (1) Total energies of 30 atoms are highly accurate. (2) Ionization energies and electron affinities are improved in a statistical sense, although significant interconfigurational and interterm errors remain. (3) Accurate atomization energies are found for seven hydrocarbon molecules, with a rms error per bond of 0.1 eV, compared with 0.7 eV for the LSD approximation and 2.4 eV for the Hartree-Fock approximation. (4) For atoms and molecules, there is a cancellation of error between density functionals for exchange and correlation, which is most striking whenever the Hartree-Fock result is furthest from experiment. (5) The surprising LSD underestimation of the lattice constants of Li and Na by 3--4 % is corrected, and the magnetic ground state of solid Fe is restored. (6) The work function, surface energy (neglecting the long-range contribution), and curvature energy of a metallic surface are all slightly reduced in comparison with LSD. Taking account of the positive long-range contribution, we find surface and curvature energies in good agreement with experimental or exact values. Finally, a way is found to visualize and understand the nonlocality of exchange and correlation, its origins, and its physical effects.

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Journal ArticleDOI

Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks

TL;DR: In this article, a neural network scheme for the construction of a continuous potential energy surface (PES) is presented, and the sticking probability of H2/K(2 · 2)/Pd(1 0 0) is determined by molecular dynamics simulations on the neural network PES and compared to results using an independent analytical interpolation.
Journal ArticleDOI

Structure, Energetics, and Electronic Properties of the Surface of a Promoted MoS2 Catalyst: An ab Initio Local Density Functional Study

TL;DR: In this article, the authors carried out ab initio calculations using density functional theory under the generalized gradient approximation for periodic systems and found that the edge substitution model emerges as the most stable structure and provides an excellent agreement with local structures experimentally determined on real catalysts by extended X-ray absorption fine structure.
Journal ArticleDOI

Catalytic water formation on platinum: a first-principles study.

TL;DR: It is found that H2O formation from chemisorbed O and H atoms is a highly activated process, and there is a very large barrier for the dissociation of the second H1O molecule in the 2:1 disproportionation process, suggesting that the proposed intermediate is then hydrogenated to H 2O through a very facile proton-transfer mechanism.
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