Explore our upcoming workshops, seminars, and more.
Past Events
AI is transforming materials discovery, but turning digital predictions into physical reality remains a major challenge. Join Artem Mishchenko of Google DeepMind for a look at how experimental-first AI, automated laboratories, and high-fidelity data—including negative results—could reshape the future of materials discovery.
Discover the technological infrastructure behind the Acceleration Consortium’s medicinal chemistry self-driving lab! Join us on Tuesday, September 22nd, for a free, one-day workshop featuring expert talks and a panel discussion on building self-driving labs for drug discovery research, plus tour our medicinal chemistry self-driving lab and learn more about automated lab tools through live demos.
How can data-driven molecular screening, autonomous experimentation, and early-cycle machine learning work together to accelerate the discovery and validation of next-generation electrolytes for longer-lasting lithium batteries? Jongwoo Lim, Associate Professor of Chemistry at Seoul National University, explores this question and shares insights from his research.
Discover how modern reaction monitoring is transforming the way chemists uncover reaction mechanisms and optimize pharmaceutical processes—faster, with fewer experiments, and less computational complexity. Donna's AC seminar will explore how Reaction Progress Kinetic Analysis (RPKA) and Temperature-Scanning Reactions (TSR) deliver powerful insights from a single experiment, opening new possibilities for studying both simple and highly complex catalytic systems.
SDL 101
Values based R&D
Join Martin Seifrid for a seminar on accelerating scientific discovery in energy and healthcare through digital technology, data-driven science, and automation.
Join Timothy Noël to learn more about RoboChem: an autonomous lab system that integrates flow reactors, real-time analytics, custom control software, and machine learning algorithms to optimize complex chemical reactions.
Training, collaboration, for future grant
Join Adam Gormley to learn how a new AI-driven system called BioMAP is transforming discovery by rapidly testing and refining materials to determine options that work seamlessly with the complexities of biology.
Join Markus Kraft for a talk on The World Avatar (TWA), a smart digital system that uses artificial intelligence, knowledge graphs, and semantic tools to model complex systems and support automated decision-making and discovery in chemistry and laboratory automation.
Join us this summer for the 4th annual Accelerate conference in Toronto. Explore how AI and automation are changing the way we do science, allowing us to create a wide range of materials and molecules in a fraction of the usual time and cost – from faster electronics and stronger bridges to cleaner energy and more precise medicine.
Predicting the properties of complex molecular mixtures like solubility, viscosity, and phase separation remains a major challenge due to non-linear molecular interactions. Join Wilhelm T. S. Huck for a seminar on how the Dutch BigChemistry Consortium, backed by a €97 million grant, is tackling this problem by developing high-throughput measurement systems and AI models to transform formulation science into a data-driven discipline.
Led by Greg Wilson
Promote industrial knowledge sharing related to process research and automation or industry trends, especially around professional development for grad students and postdocs
Join Adji Bousso Dieng for a talk on Vendi Scoring, a new research approach to understanding diversity in data-driven discovery. Explore how Vendi Scores serve as powerful diversity metrics for analyzing complex energy landscapes and searching vast materials databases. Learn how these methods lead to 'algorithmic microscopy,' a novel technique to help scientists to zoom in on large datasets with precision.
Promote industrial knowledge sharing related to process research and automation or industry trends, especially around professional development for grad students and postdocs
Join Kedar Hippalgaonkar for a talk on generative design in novel inorganic materials and how symmetry and disorder intercept the discovery process. Learn how symmetry rules shape crystal structures and properties like conductivity and strength, and how innovative AI models address challenges in generating symmetric crystals and managing disorder. Discover advancements in high-throughput synthesis and data-driven computation, modeling, and experiments for property-directed design.
Join us for a discussion led by Emily Moore on how Self-Driving Lab research can successfully integrate social, environmental and economic factors. Discover how these advancements are shaping the future of sustainable solutions and explore insights from current research at the University of Toronto on best practices and new possibilities for creating a sustainable advanced material research community.
Learn about the AC and enjoy lunch while helping us co-develop granting programs that will meet the needs and interests of social science and humanities researchers and generate exciting funding opportunities for you!
The Acceleration Consortium Fall Research Symposium is designed to showcasing findings made through the AC grant program. Join us for a day of talks, poster presentations, demos and networking opportunities for the advanced material discovery research community.
Explore AI's transformative role in drug discovery and development, featuring case studies, industry insights, and discussions on generative AI's applications in multi-species life models and aging research in this AC Seminar led by Alex Zhavoronkov founder and CEO of Insilico Medicine!
We’re excited to announce that the Acceleration Consortium’s 2024 Accelerate conference will take place in Vancouver, August 6 – 9, cohosted with our partner, the University of British Columbia. Based at the University of Toronto, the AC is a global community of academia, government, and industry who are accelerating the discovery of new materials and molecules needed for a sustainable future.
Reinforcement learning for robotic execution
Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development
Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development
Lee Cronin will explain why ‘Chemputation’ is a universal approach to explore chemical reactivity, discovery of new reactions, and molecules, as well as program chemical synthesis that allows us to translate all procedures, manual or automatic, into a executable chemical programming language that can run the processes on a chemputer.
Discover Lilo Pozzo's AI-driven experiments using open-source approaches for soft matter research at our next talk in the AC Seminar Series!
The Acceleration Consortium and Merck KGaA are hosting a 2-day virtual hackathon for researchers to formulate and execute projects to assess existing Bayesian optimization tools, reduce their barriers to use, and adapt them to real-world problems.
Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development
Introduction to accelerated discovery.
To kick off the Acceleration Consortium's seminar series, AC director Alán Aspuru-Guzik will provide an overview of the growing field of self-driving laboratories (SDLs). Presented both in-person and online, the AC seminar series will explore diverse perspectives on the future of AI for science, present cutting-edge research findings, enable collaborations, and offer training and upskilling opportunities.
To kick off the Acceleration Consortium's seminar series, AC director Alán Aspuru-Guzik will provide an overview of the growing field of self-driving laboratories (SDLs). Presented both in-person and online, the AC seminar series will explore diverse perspectives on the future of AI for science, present cutting-edge research findings, enable collaborations, and offer training and upskilling opportunities.
Attendees will explore the latest leading-edge methods, applications and research in materials and molecular discovery. Conference talks, workshops and networking opportunities will allow you to connect with a global community working to realize a healthy, sustainable, materially different future.
This year’s IWD #BreakTheBias theme calls on us to celebrate women's achievement, raise awareness against bias, and take action for equality. To honour the day, learn about our panellists and their professional journeys, the challenges they've overcome along the way, and their ideas for a more diverse, equitable, and inclusive world.
Want to learn more about scientific database management? Have ideas about how to store and analyze both computational and experimental results?
Join us to explore open challenges and opportunities for string-based representations in chemistry. Presented in partnership with IOP Publishing's Machine Learning: Science & Technology (MLST) journal.