Grant: Canada Research Chairs
University of Waterloo
$200,000.00
Quantum Molecular Dynamics
FY 2024-25
Summary
Dr. Roy’s research in fundamental chemistry focuses on addressing challenges by developing theoretical formalisms and algorithmic tools for the computer simulation of the molecular dynamics of complex materials with nanoconfined molecules as building blocks. In the proposed research, Dr. Roy builds on past work on tensor network representation of molecular assemblies and stochastic simulation methods. In a recent breakthrough, his group predicted a quantum phase transition in lattices composed of water molecules. These advances will be leveraged to resolve the challenge of predicting quantum dynamics, and to address new problems related to clean energy storage, and to evaluate the use of molecular systems as quantum information devices. The short-term objectives for the next 7 years are: 1) develop stochastic techniques termed Quantum Monte Carlo methods; 2) develop tensor network methods for quantum molecular dynamics; 3) represent quantum dynamics with neural networks; 4) accurately model endofullerenes for nanotechnology applications; 5) investigate energy storage materials such as solid-state electrolytes and condensed hydrogen. The attainment of the five objectives of the proposed research will contribute original knowledge in several areas in chemical physics. The new theories formulated in this research will provide a more complete understanding of the behaviour of molecules under nano-confinement, especially regarding collective quantum mechanical phenomena. In turn, this enhanced theoretical understanding will enable new methodological tools for the prediction of a broad range of properties via computer simulations. Simulations of molecules nano-confined in quantum lattices will provide a new platform to study many-body physics based on molecular rotor and their quantum control. They will also provide a test bed for the investigation of recently proposed quantum information devices based on polar interactions and the encoding of a qubit in molecules coupled with adiabatic state preparation. In the context of energy materials, results from simulations of confined hydrogen and clathrate hydrates will be of high relevance in the field of hydrogen storage while the theoretical work in superionic conductors is of high importance in the field of solid-state batteries.
Program
Canada Research Chairs
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2023-00091
Name nom
Roy, Pierre-Nicholas
Department département
Chemistry - University of Waterloo
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
200000
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
RDF1040799
Field of research list names en
Theoretical chemistry, n.e.c.
Field of research list names fr
Chimie théorique, n.c.a.
Socioeconomic objective list codes
RDS10599
Socioeconomic objective list names en
Energy (except prospecting), n.e.c.
Socioeconomic objective list names fr
Énergie (sauf la prospection), n.c.a.
Application title
Quantum Molecular Dynamics
Keywords
quantum molecular dynamics; theoretical chemistry; computational chemistry ; quantum monte carlo; quantum clusters
Application summary
Dr. Roy’s research in fundamental chemistry focuses on addressing challenges by developing theoretical formalisms and algorithmic tools for the computer simulation of the molecular dynamics of complex materials with nanoconfined molecules as building blocks. In the proposed research, Dr. Roy builds on past work on tensor network representation of molecular assemblies and stochastic simulation methods. In a recent breakthrough, his group predicted a quantum phase transition in lattices composed of water molecules. These advances will be leveraged to resolve the challenge of predicting quantum dynamics, and to address new problems related to clean energy storage, and to evaluate the use of molecular systems as quantum information devices. The short-term objectives for the next 7 years are: 1) develop stochastic techniques termed Quantum Monte Carlo methods; 2) develop tensor network methods for quantum molecular dynamics; 3) represent quantum dynamics with neural networks; 4) accurately model endofullerenes for nanotechnology applications; 5) investigate energy storage materials such as solid-state electrolytes and condensed hydrogen. The attainment of the five objectives of the proposed research will contribute original knowledge in several areas in chemical physics. The new theories formulated in this research will provide a more complete understanding of the behaviour of molecules under nano-confinement, especially regarding collective quantum mechanical phenomena. In turn, this enhanced theoretical understanding will enable new methodological tools for the prediction of a broad range of properties via computer simulations. Simulations of molecules nano-confined in quantum lattices will provide a new platform to study many-body physics based on molecular rotor and their quantum control. They will also provide a test bed for the investigation of recently proposed quantum information devices based on polar interactions and the encoding of a qubit in molecules coupled with adiabatic state preparation. In the context of energy materials, results from simulations of confined hydrogen and clathrate hydrates will be of high relevance in the field of hydrogen storage while the theoretical work in superionic conductors is of high importance in the field of solid-state batteries.