Molecular Structure, Spectra and Reactions: The Development of New Theory, Its Implementations and Applications

Abstract

In the last four years of our work for AFOSR, we have done a number of things that build on our proof of an exact, correlated orbital theory as an effective one-particle theory. The idea is to provide coupled-cluster (CC) accuracy for molecular structure and spectra, but within a computational framework that exploits its one-particle character. This makes it possible to do much larger systems than can be done in traditional CC theory, even with our development of massively parallel computer programs like ACES 3 and 4. This effort also ties to CC theory, that has to converge to the correct answer in appropriate limits. COT has Kohn-Sham density functional theory (DFT) as a special case. Exploiting this connection has led to four new 'consistent' DFT functionals of the QTP family. Unlike conventional DFT1, they provide an accurate one-particle spectrum, solve the problem of charge-transfer excited states in KS-DFT, provide accurate densities and activation barriers, give excellent fully relaxed core ionizations and excitation spectra, and ameliorate the pervasive self-interaction problem of KS-DFT. Several further developments are anticipated, including their extension to infinite polymers and solids.

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Document Details

Document Type
Technical Report
Publication Date
Oct 05, 2018
Accession Number
AD1061504

Entities

People

  • Ajith Perera
  • Rodney J. Bartlett

Organizations

  • University of Florida

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Absorption Spectra
  • Band Theory Of Solids
  • Charge Transfer
  • Chemical Compounds
  • Chemistry
  • Computational Chemistry
  • Density Functional Theory
  • Electronic Structure Theory
  • Electrons
  • Ground State
  • Ionization Potentials
  • Molecular Orbital Theory
  • Molecular Structure
  • Quantum Chemistry
  • Quantum Mechanics
  • Solid State Physics
  • Spectra

Readers

  • Mathematical Modeling and Probability Theory.
  • Quantum Chemistry
  • Systems Analysis and Design

Technology Areas

  • Space