Grant: Discovery Grants Program - Individual
University of New Brunswick
$70,000.00
Molecular properties and interactions
EF 2013-14
Résumé
Materials science and chemistry are concerned with the design and characterization of novel materials for use by society. Traditionally, this is done by experimental work. Another approach is to make predictions using computational models based on theory. This research concerns predictions of the properties of molecules and interactions between pairs of molecules using a mixture of theoretical and computational work. There are many advantages to theoretical and computational work. It allows us to consider molecules that may not yet have been isolated in a laboratory, and under conditions that may not be easily attainable in a laboratory. It allows us to study molecules without fear of laboratory accidents and environmental hazards. The enormous advances made recently in computer technology allows, in some cases, computer modelling to be carried out more cheaply than analogous experimental work. Most importantly, it helps us understand the behavior and properties of molecules. Of course, there are limitations to theoretical work. The accuracy of theoretical predictions is limited by the quality of the models it is based upon. Thus this sort of work depends on a feedback loop involving cross-checking against experiment and subsequent refinement or redesign of the models or experiments.Understanding the behavior of the electrons is crucial to predicting molecular properties and interactions. A conventional and heavily used approach is to focus on the electron density, which tells us where the electrons are likely to be. A complementary, and much less used, viewpoint is to ask what speed (momentum) the electrons are likely to have. We will investigate promising methods for forming quantitative links between electron momentum distributions and molecular properties such as polarizabilities and heats of formation. Success in this endeavour would represent a breakthrough in that a view of molecular structure complementary to that provided by the electron density would become available for all materials scientists.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
617-2008
Name nom
Thakkar, Ajit
Department département
Chemistry
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2008
Award amount
70000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
26
Committee name en
Anal. & Phys. Chemistry
Committee name fr
Chimie analytique et physique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
3156
Research subject group en
Theoretical physics and chemistry
Research subject group fr
Physique et chimie théoriques
Research subject en
Quantum and/or computational chemistry
Research subject fr
Chimie quantique ou par modélisation numérique
Partie
5
Nb partie
5
Application title
Molecular properties and interactions
Keyword
NSERC
Application summary
Materials science and chemistry are concerned with the design and characterization of novel materials for use by society. Traditionally, this is done by experimental work. Another approach is to make predictions using computational models based on theory. This research concerns predictions of the properties of molecules and interactions between pairs of molecules using a mixture of theoretical and computational work. There are many advantages to theoretical and computational work. It allows us to consider molecules that may not yet have been isolated in a laboratory, and under conditions that may not be easily attainable in a laboratory. It allows us to study molecules without fear of laboratory accidents and environmental hazards. The enormous advances made recently in computer technology allows, in some cases, computer modelling to be carried out more cheaply than analogous experimental work. Most importantly, it helps us understand the behavior and properties of molecules. Of course, there are limitations to theoretical work. The accuracy of theoretical predictions is limited by the quality of the models it is based upon. Thus this sort of work depends on a feedback loop involving cross-checking against experiment and subsequent refinement or redesign of the models or experiments.Understanding the behavior of the electrons is crucial to predicting molecular properties and interactions. A conventional and heavily used approach is to focus on the electron density, which tells us where the electrons are likely to be. A complementary, and much less used, viewpoint is to ask what speed (momentum) the electrons are likely to have. We will investigate promising methods for forming quantitative links between electron momentum distributions and molecular properties such as polarizabilities and heats of formation. Success in this endeavour would represent a breakthrough in that a view of molecular structure complementary to that provided by the electron density would become available for all materials scientists.