Grant: Canada Research Chairs
University of New Brunswick
$100,000.00
Theoretical Chemistry
FY 2024-25
Summary
High-performance computer simulations of chemical processes have significantly accelerated society's technological advancement. Researchers can now routinely employ powerful computer simulations to design, elucidate, and economize expensive laboratory experiments from billion-dollar chemical industries: e.g., for pharmaceutical, agricultural, material, or other industrial applications. However, a major challenge is that computational chemistry simulations of chemical processes are based on the fundamental laws of quantum mechanics. As molecular systems become larger and more interesting, the quantum correlations between the electrons and the atoms become so large that it becomes impossible to simulate them accurately without invoking poorly controlled approximations.
The aim of this CRC in Theoretical Chemistry is to design new electronic structure techniques that will allow for more accurate simulations of larger molecular systems with future impact in chemical industries, in health care, and in environmental solutions such as green energy storage.
In his first CRC term, Dr Stijn De Baerdemacker built the research infrastructure that positions him to become a leader in his field. He brought together a sizable and diverse group of HQP working on new electronic structure methods based on new fundamental theoretical ideas across chemistry, physics, and mathematics, as well as the emerging technologies of machine learning and quantum computing. With his QuNB lab, Dr. De Baerdemacker produced important milestone results in electronic structure method development, interpretable machine learning, and automated discovery of molecular compounds. These results have been disseminated in 15 research publications and via research seminars and conference presentations.
Dr. De Baerdemacker will consolidate and continue building on his first term's research findings related to electronic structure theory and interpretable machine learning in computational chemistry. He will capitalize on his decade-long research experience in quantum circuit design to embrace the newly-emerging technology of quantum computing for computational chemistry applications. His research portfolio has been diversified, including research projects that will shorten the timeline to impact in biomolecular applications and chemistry in strong laser fields. Supported by an international network, his new and ongoing projects will continue producing important, impactful research.
Program
Canada Research Chairs
Recipient
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2022-00290
Name nom
De Baerdemacker, Stijn
Department département
Chemistry - University of New Brunswick
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
2024
Competition year année de concours
2022
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1040701
Field of research list names en
Computational chemistry
Field of research list names fr
Chimie computationnelle
Socioeconomic objective list codes
RDS10610
Socioeconomic objective list names en
Information systems, technologies and services
Socioeconomic objective list names fr
Systèmes, technologies et services d'information
Application title
Theoretical Chemistry
Keywords
quantum chemistry; theoretical chemistry; electron correlation; explainable machine learning; quantum circuit design; time-dependent quantum systems; quantum computing
Application summary
High-performance computer simulations of chemical processes have significantly accelerated society's technological advancement. Researchers can now routinely employ powerful computer simulations to design, elucidate, and economize expensive laboratory experiments from billion-dollar chemical industries: e.g., for pharmaceutical, agricultural, material, or other industrial applications. However, a major challenge is that computational chemistry simulations of chemical processes are based on the fundamental laws of quantum mechanics. As molecular systems become larger and more interesting, the quantum correlations between the electrons and the atoms become so large that it becomes impossible to simulate them accurately without invoking poorly controlled approximations.
The aim of this CRC in Theoretical Chemistry is to design new electronic structure techniques that will allow for more accurate simulations of larger molecular systems with future impact in chemical industries, in health care, and in environmental solutions such as green energy storage.
In his first CRC term, Dr Stijn De Baerdemacker built the research infrastructure that positions him to become a leader in his field. He brought together a sizable and diverse group of HQP working on new electronic structure methods based on new fundamental theoretical ideas across chemistry, physics, and mathematics, as well as the emerging technologies of machine learning and quantum computing. With his QuNB lab, Dr. De Baerdemacker produced important milestone results in electronic structure method development, interpretable machine learning, and automated discovery of molecular compounds. These results have been disseminated in 15 research publications and via research seminars and conference presentations.
Dr. De Baerdemacker will consolidate and continue building on his first term's research findings related to electronic structure theory and interpretable machine learning in computational chemistry. He will capitalize on his decade-long research experience in quantum circuit design to embrace the newly-emerging technology of quantum computing for computational chemistry applications. His research portfolio has been diversified, including research projects that will shorten the timeline to impact in biomolecular applications and chemistry in strong laser fields. Supported by an international network, his new and ongoing projects will continue producing important, impactful research.