This year’s conference will be held at the following venues in Toronto. Below is a schedule outline that will be updated shortly.
MaRS Centre
Schwartz Reisman Innovation Campus
This year’s conference will be held at the following venues in Toronto. Below is a schedule outline that will be updated shortly.
The German-Canadian Materials Acceleration Centre in partnership with the Acceleration Consortium, is hosting a technical workshop aiming to provide researchers with exposure to data management and AI topics including metadata standards for multi-scale materials design to device integration processes, and large language models (LLM) for early-stage decision-making, and more.
Coffee, snacks and lunch will be provided.
Organizers:
Schedule
9:00 – 9:30 - Coffee
9:30 – 10:00 - Opening Remarks/ GCMAC Background
10:00 - 12:30 - Session 1
12:30 – 14:00- Lunch
2:00 – 4:30 - Session 2
4:30 Wrap-up & End
Organizers:
Organizers:
Organizers:
AI can now design new materials but we still can’t reliably manufacture them. This gap between design and manufacturing is slowing progress on some of the most important challenges in energy, water, and climate.Unlike fields like biology, which saw breakthroughs like AlphaFold thanks to large, structured datasets, materials science still lacks a shared experimental foundation. Most synthesis data remains fragmented, inconsistently reported, and missing the context of failed attempts — making it difficult for AI to learn what works, what doesn’t, and why.This workshop will ask: What would it take to close that gap? How can open science help us build the datasets, infrastructure, and incentives needed to accelerate materials discovery? And what role can researchers, institutions, and funders play in making that possible?
The purpose of this workshop is to align on the mission, share the roadmap, and invite potential partners and funders to help bring this to life. If you are interested in attending the workshop, send an email to: padraic.foley@utoronto.ca