Y
Yang Yang
Researcher at University of Wisconsin-Madison
Publications - 40
Citations - 1191
Yang Yang is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Density functional theory & Random phase approximation. The author has an hindex of 19, co-authored 38 publications receiving 946 citations. Previous affiliations of Yang Yang include Peking University & Duke University.
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Nature of ground and electronic excited states of higher acenes
TL;DR: The recently developed particle–particle random-phase approximation is used in combination with a diradical analysis to unveil the nature of higher acenes' ground- and electronic excited states, and the excitation energies are presented.
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Multicomponent Density Functional Theory: Impact of Nuclear Quantum Effects on Proton Affinities and Geometries
TL;DR: The agreement of the computed results with experimental and benchmark values demonstrates the promise of this approach for including nuclear quantum effects in calculations of proton affinities, pKa's, optimized geometries, and reaction paths.
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Exchange-correlation energy from pairing matrix fluctuation and the particle-particle random-phase approximation
TL;DR: The particle-particle random phase approximation (pp-RPA) as discussed by the authors is the only known density functional that has an explicit and closed-form dependence on the occupied and unoccupied orbitals.
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Development of a practical multicomponent density functional for electron-proton correlation to produce accurate proton densities.
TL;DR: An electron-proton correlation functional, epc17, is derived analogously to the Colle-Salvetti formalism for electron correlation and is implemented within the nuclear-electronic orbital (NEO) framework.
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Is the Accuracy of Density Functional Theory for Atomization Energies and Densities in Bonding Regions Correlated
TL;DR: Analysis of electron densities in bonding regions is found to be important for the evaluation of functionals for chemical systems and for hybrid generalized gradient approximation functionals developed since the year 2000.