Accurate Methods for Large Molecular Systems (Postprint)

Abstract

Three exciting new methods that address the accurate prediction of processes and properties of large molecular systems are discussed. The systematic fragmentation method (SFM) and the fragment molecular orbital (FMO) method both decompose a large molecular system (e.g., protein, liquid, zeolite) into small subunits (fragments) in very different ways that are both designed to retain the high accuracy of the chosen quantum mechanical level of theory while greatly reducing the demands on computational time and resources. Both of these methods are inherently scalable and are therefore eminently capable of taking advantage of massively parallel computer hardware. The effective fragment potential (EFP) method is a very sophisticated approach for the prediction on non-binded and intermolecular interactions. Therefore, the EFP method provides a way to further reduce the computational effort while retaining accuracy, by treating the far field interactions in place of the full electronic structure method. The performance of the methods is demonstrated using applications to several systems, including benzene dimer, small organic species, pieces of the alpha helix, water, and ionic liquids.

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Document Details

Document Type
Technical Report
Publication Date
Jan 06, 2009
Accession Number
ADA506754

Entities

People

  • Jerry A. Boatz
  • Jonathan M. Mullin
  • Luke B. Roskop
  • Lyudmila V. Slipchenko
  • Mark S. Gordon
  • Spencer R Pruitt

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Chemical Compounds
  • Chemical Reactions
  • Computational Chemistry
  • Computational Chemistry Methods
  • Computers
  • Density Functional Theory
  • Electronic Structure Methods
  • Electronic Structure Theory
  • First Principles Calculations
  • Ionic Liquids
  • Materials Science
  • Molecular Dynamics
  • Molecular Physics
  • Physical Chemistry
  • Quantum Chemistry

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Quantum Chemistry

Technology Areas

  • Microelectronics
  • Quantum Computing
  • Space