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Computational Prediction of Kinetic Rate Constants

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0113
Agency Tracking Number: F054-010-0006
Amount: $99,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF05-T010
Solicitation Number: N/A
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-08-01
Award End Date (Contract End Date): 2006-05-01
Small Business Information
4 Fourth Avenue
Burlington, MA 01803
United States
DUNS: 047627732
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Shroll
 Principal Scientist
 (781) 273-4770
 rshroll@spectral.com
Business Contact
 Fritz Bien
Title: President
Phone: (781) 273-4770
Email: fritz@spectral.com
Research Institution
 ENVIRONMENTAL MOLECULAR SCIENCES
 Gary D Black
 
Pacific Northwest National Lab, P.O. Box 999, K1-85
Richland, WA 99352
United States

 (509) 375-2316
 Domestic Nonprofit Research Organization
Abstract

A core component of aerospace manufacturing is based on cutting-edge materials used in extreme environments. Chemical kinetics models are vital for interpreting experimental measurements and predicting the behavior of these complex systems. For many applications, the reaction rates for all required chemical processes are unknown. We propose a versatile user-friendly computational package for calculating chemical rate constants based on electronic structure theory, reaction dynamics, and transition state theory. This will be accomplished by enhancing the Extensible Computational Chemistry Environment (Ecce), a state-of-the-art graphical user interface, to integrate kinetics calculations based on the electronic structure code NWChem, the dynamics code VENUS, the transition state theory code POLYRATE, and the quantum state specific quasiclassical trajectory method. Together, this set of codes will allow the user to calculate rate constants from high-level quantum calculations within a single environment, while providing a realistic prediction of the inherent calculation errors. In Phase I, we will demonstrate proof of principle by computing reaction rate constants through an enhanced Ecce. In Phase II, we will integrate chemical rate constant predictions into Ecce forming the Ab initio Transition state Or Molecular dynamics Simulations for Chemical Rate Constants (ATOMS-CRC) Toolkit.

* Information listed above is at the time of submission. *

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