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Title: Exploring the Random Phase Approximately for materials chemistry and physics

Technical Report ·
DOI:https://doi.org/10.2172/1183045· OSTI ID:1183045
 [1]
  1. Temple University, Philadelphia, PA (United States)

This proposal focuses on improved accuracy for the delicate energy differences of interest in materials chemistry with the fully nonlocal random phase approximation (RPA) in a density functional context. Could RPA or RPA-like approaches become standard methods of first-principles electronic-structure calculation for atoms, molecules, solids, surfaces, and nano-structures? Direct RPA includes the full exact exchange energy and a nonlocal correlation energy from the occupied and unoccupied Kohn-Sham orbitals and orbital energies, with an approximate but universal description of long-range van der Waals attraction. RPA also improves upon simple pair-wise interaction potentials or vdW density functional theory. This improvement is essential to capture accurate energy differences in metals and different phases of semiconductors. The applications in this proposal are challenges for the simpler approximations of Kohn-Sham density functional theory, which are part of the current “standard model” for quantum chemistry and condensed matter physics. Within this project we already applied RPA on different structural phase transitions on semiconductors, metals and molecules. Although RPA predicts accurate structural parameters, RPA has proven not equally accurate in all kinds of structural phase transitions. Therefore a correction to RPA can be necessary in many cases. We are currently implementing and testing a nonempirical, spatially nonlocal, frequency-dependent model for the exchange-correlation kernel in the adiabatic-connection fluctuation-dissipation context. This kernel predicts a nearly-exact correlation energy for the electron gas of uniform density. If RPA or RPA-like approaches prove to be reliably accurate, then expected increases in computer power may make them standard in the electronic-structure calculations of the future.

Research Organization:
Tulane University, New Orleans, LA (United States). Administrators of the Tulane Educational Fund
Sponsoring Organization:
USDOE Nevada Operations Office (NO); USDOE Office of Science (SC)
DOE Contract Number:
SC0007989
OSTI ID:
1183045
Report Number(s):
Final Report: DOE-Tulane University-SC0007989; 12SC002374
Country of Publication:
United States
Language:
English