Grant: Alliance Grants
The University of British Columbia
$172,049.00
Machine-learning models for 2D quantum materials
FY 2024-25
Summary
The development of quantum materials that are capable of leveraging exotic quantum phenomena such as superconductivity is foundational to the anticipated quantum revolution. Many quantum phenomena emerge naturally in the atomically thin limit of 2D materials (a famous example is graphene; Nobel Prize 2010), which makes those materials an exciting platform to prototype quantum devices, discover superconducting materials, or build qbits for quantum computing platforms. Despite the continuing increase in computational resources, scientific progress is hindered by the computational intractability of quantum mechanical models. This NSERC-NSF Quantum Alliance project will merge state of the art quantum mechanic models and artificial intelligence methods to automate the development of custom high-performance and high-fidelity models for such 2D quantum materials. This will provide Canadian researchers with a "virtual laboratory" to accelerate both fundamental scientific discovery and technology transfer.
Program
Alliance Grants
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
586799-2023
Name nom
Ortner, Christoph C
Department département
Mathematics
Organization id
2
Institution établissement
The University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
172049
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1208
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Materials sciences
Area of application fr
Sciences des matériaux
Research subject code
2000
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Materials science and technology
Research subject fr
Science et technologie des matériaux
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Machine-learning models for 2D quantum materials
Keywords
2d heterostructures; 2d materials; electronic structure; electron-phonon coupling; interatomic potentials; quantum materials; scientific machine-learning; superconductivity; twistronics
Application summary
The development of quantum materials that are capable of leveraging exotic quantum phenomena such as superconductivity is foundational to the anticipated quantum revolution. Many quantum phenomena emerge naturally in the atomically thin limit of 2D materials (a famous example is graphene; Nobel Prize 2010), which makes those materials an exciting platform to prototype quantum devices, discover superconducting materials, or build qbits for quantum computing platforms. Despite the continuing increase in computational resources, scientific progress is hindered by the computational intractability of quantum mechanical models. This NSERC-NSF Quantum Alliance project will merge state of the art quantum mechanic models and artificial intelligence methods to automate the development of custom high-performance and high-fidelity models for such 2D quantum materials. This will provide Canadian researchers with a "virtual laboratory" to accelerate both fundamental scientific discovery and technology transfer.
