Quantum Computation with Effective Fragment Potential

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$749,961.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
2R44GM076847-02A1
Award Id:
79884
Agency Tracking Number:
GM076847
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Q-CHEM, INC., 5001 BAUM BLVD, STE 690, PITTSBURGH, PA, 15213
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
837635556
Principal Investigator:
JING KONG
(412) 687-0695
JKONG@Q-CHEM.COM
Business Contact:
JING KONG
() -
Research Institution:
n/a
Abstract
DESCRIPTION (provided by applicant): This Phase II proposal seeks support for completing implementation of effective fragment potential (EFP) method [J. Phys. Chem. A, v.105 p.293 (2001)] in the Q-Chem electronic structure program. The EFP approach enables one to treat large systems with localized interactions by separating them into a small important part (e.g., reaction center) treated quantum mechanically (QM), and the environment, which is further subdivided into the so-called effective fragments (EFs ). Conceptually, the EFP method is similar to the popular QM/MM (molecular mechanics) scheme; however, it replaces empirical MM force fields by rigorous interactions derived from QM calculations of individual fragments. Once the necessary parameters of EFs are pre-computed and stored in an auxiliary database, the cost of an EF calculation is very similar to that of a QM/MM one. During Phase I, we completed most of the steps necessary for pre-computing EF parameters and energy calculation. During Phase II, w e propose to complete energy calculation, as well as implement analytic gradient calculation, which is crucial tool for computational research. The full implementation of the EFP method in Q-Chem will enable the researchers to apply advanced QM methods (e. g., equation-of-motion and coupled-cluster methods) to study opens-shell and electronically excited centers in biological molecules, solutions, and materials. PUBLIC HEALTH RELEVANCE: Quantum modeling is the most accurate and versatile among different mole cular simulation methods of biological systems. In this SBIR Phase II application, we propose to implement and develop a method that will enable accurate quantum mechanical modeling for large systems. The resulting program will significantly increase resea rchers' quality of work will extend the application scope of quantum methods for the simulations of biological systems.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government