Density functional theory (DFT) is perhaps the most widely applied quantum chemistry method in molecular simulations due to its ability to accurately and efficiently model a wide range of molecular systems. Still, it has a major deficiency, namely the lack of nondynamic correlation. As a result, it can yield unreliable results for chemical reactions, radicals, excited states, and charge-transfers. These properties are very often the focus of biological-based research and development and can only be studied computationally with quantum mechanical based methods. In Phase I of this project, we developed an efficient self-consistent solution for a new DFT method called real-space correlation (RSC) that addresses this deficiency. In addition, our RSC-DFT implementation was shown to be very efficient, some 100 times faster than a prior implementation. Our Phase I results demonstrate that RSC not only excels in standard DFT test cases, but also overcomes some of DFT's known failures. The overall goal of this Phase II project is to make RSC available for the majority of DFT computations, including calculation of the energy and gradient for ground and excited electronic states. We will also reduce the computational cost of RSC even further such that it will be as efficient as conventional DFT. Our development will be validated through two applications of biological interest, where DFT is known to give poor results. Finally, RSC will be combined with our dispersion DFT implementation, , and the unified method will represent a substantial leap forward in DFT, allowing researchers to routinely and reliably study molecular systems that were heretofore not possible with current quantum chemistry based techniques. This will also allow Q-Chem to expand its market to new areas.

Public Health Relevance

This project aims to implement a new DFT method in a computationally efficient manner. DFT is at the core of molecular modeling and is applied widely in biological research/development and in drug discovery. The improved DFT will significantly increase researchers'quality of work and extend the application scope of DFT.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44GM081928-02
Application #
7910148
Study Section
Special Emphasis Panel (ZRG1-IMST-H (14))
Program Officer
Lyster, Peter
Project Start
2007-08-01
Project End
2012-06-30
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
2
Fiscal Year
2010
Total Cost
$351,131
Indirect Cost
Name
Q-Chem, Inc.
Department
Type
DUNS #
837635556
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Proynov, Emil; Liu, Fenglai; Shao, Yihan et al. (2012) Improved self-consistent and resolution-of-identity approximated Becke'05 density functional model of nondynamic electron correlation. J Chem Phys 136:034102
Liu, Fenglai; Proynov, Emil; Yu, Jian-Guo et al. (2012) Comparison of the performance of exact-exchange-based density functional methods. J Chem Phys 137:114104
Proynov, Emil; Liu, Fenglai; Kong, Jing (2012) Modified Becke'05 method of nondynamic correlation in density functional theory with self-consistent implementation. Chem Phys Lett 525-526:150-152
Proynov, Emil; Shao, Yihan; Kong, Jing (2010) Efficient self-consistent DFT calculation of nondynamic correlation based on the B05 method. Chem Phys Lett 493:381-385