Grants and Contributions:
Title:
Use of AI to speed up numerical simulations: Application to the design of superconducting tapes for energy and medicine domains
Agreement Number:
947573
Agreement Value:
$158,400.00
Agreement Date:
Mar 27, 2020 - Sep 30, 2022
Description:
Ceramic high temperature superconductors (HTS) are now routinely fabricated in the form of long lengths of tapes (several km), making it possible to envision large-scale superconducting applications. One issue concerns the physical properties of those HTS tapes, which can vary over length scales shorter than 1 millimeter, and lead to destructive hot spots in some circumstances. A strategy to find a solution to this problem at the design stage is to simulate the complete transient electrothermal behavior of long lengths of HTS tapes in real operating conditions while retaining their microscopic features. However, time transient simulations requires tremendous calculation times. AI techniques has proven useful for speeding up numeric simulations, but there are still open problems from the point of how to best use AI approaches due to the diversity and complexity of the physical systems object of the simulation. Because of its specificities, this particular application poses several challenges to the introduction of AI techniques, which makes it suitable from the point of view of both core AI research and material science. The AI solutions would benefit similar problems in other domains and the improvements in the design of superconductive tapes will find applications in many important areas, where high field magnets are required.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Montreal, Quebec, CA H3T 1J4
Reference Number:
172-2021-2022-Q4-947573
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
107585226
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 183 days
Amendment Date
Jan 27, 2022
Recipient's Legal Name:
Corporation de l'École Polytechnique de Montréal
Federal Riding Name:
Outremont
Federal Riding Number:
24054
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710
Amendments: