This is an opportunity to gather with fellow AC members and learn through talks posters and demos about the transformative work advancing material discovery through automation and machine learning. Attendees will also have the chance to engage in valuable networking opportunities fostering collaboration and innovation within the AC community.
Registration is currently closed. The symposium is being held in the Main Auditorium of 700 University Avenue, Toronto which is located on the Mezzanine Level.
Agenda
8:45 AM - 9:00 AM | Registration outside main auditorium
9:15 AM - 9:45 AM | Jumpstarting the accelerator: where are we in the AC by Alán Aspuru-Guzik (University of Toronto)
9:45 AM - 10:00 AM | Town Hall Feedback Session
10:00 AM - 10:15 AM | Building a research culture for sustainable and ethical substance: Starting with Values by M. Murphy and Reena Shadaan (University of Toronto) moderated by Owen Melville
10: 15 AM - 10:30 AM | Rational inverse design with dZiner: a live demo by Mehrad Ansari (Acceleration Consortium) moderated by Owen Melville
10:30 AM - 10:45 AM | Developing automatable chemistry workflows for direct-to-biology synthesis by Carla Brown (Acceleration Consortium) moderated by Owen Melville
10:45 AM - 11:00 AM | Self-driven exploration of interfaces in materials by Audrey Laventure & Glen Berseth (Université de Montréal) moderated by Owen Melville
11:00 AM - 11:30 AM | Coffee Break with refreshments provided in lounge
11:30 AM - 11:45 AM | Go big or go home: approaches to automated scale up by Ekaterina Trushina (University of British Columbia) moderated by Yimu Zhao
11:45 AM - 12:00 PM Accelerated design and assembly of synthetic microbial communities for sustainable chemicals manufacturing by Christopher Lawson (University of Toronto) moderated by Yimu Zhao
12:00 PM - 12:15 PM | Accelerated discovery of new alloys and manufacturing processes for structural applications by you Yu Zou (University of Toronto) moderated by Yimu Zhao
12:15 PM - 12:30 PM | Accelerating drug formulation with machine learning and automation by Frantz Le Dévédec (Acceleration Consortium) moderated by Yimu Zhao
12:30 PM - 12:45 PM | Self-driving lab for the synthesis of upconversion nanoparticls by Eugenia Kumacheva (University of Toronto) moderated by Yimu Zhao
12:45 PM - 1:30 PM | Lunch break with boxed meals provided in lounge
1:30 PM - 3:30 PM | Networking with robot demo and poster viewing session
- Advancing drug solubility prediction in binary solvent systems through machine learning by Zeqing Bao (University of Toronto)
- A dataset of small molecule-loaded poly(lactic-co-glycolic) acid nanoparticles by Anita Goren (University of Toronto)
- High-Throughput Experimentation for High-Pressure Reverse-Osmosis Membranes by Hongchen Wang (University of Toronto)
- Towards equilibrium molecular conformation generation with GFlowNets by Alexandra Volokhova (Mila - Quebec AI Institute)
- AutoEIS: automated Bayesian model selection and analysis for electrochemical impedance spectroscopy by Runze Zhang (University of Toronto)
- Automated platform for electrochemistry by Daniel Persaud (University of Toronto)
- Teaching AI and automation with physical hardware by Sterling Baird (University of Toronto)
- Developing a Self-Driving Medicinal Chemistry Platform for Accelerating Chemical Probe Discovery by Stuart Green (University of Toronto)
- Self-driving labs for scale-up: Bridging discovery and deployment by Ekaterina Trushina (University of British Columbia)
- Microwave-Assisted Automated Synthesis of Lanthanide-Doped Luminescent Nanocrystals by Guanqi Huang and Kai Huang (University of Toronto)
- Polymer MicroSDLs: small discrete steps Towards a Larger, Integrated Future by Owen Melville, Harrison Mills, Nipun Gupta, Monique Ngan, Ray Chen (University of Toronto)
- Low-cost autonomous platform for catalyst discovery for oxygen evolution reaction by Ali Shayesteh, Kangming Li (University of Toronto)
- Self-driving synthesis and characterization of self assembled soft materials by Jeff Watchorn, Mohammad Nazeri, Sheldon Mei, Alex Zhang (University of Toronto)
- IvoryOS: an interoperable operating system for self-driving laboratories by Ivory Wenyu Zhang (University of British Columbia)
- Development of an automated liquid-liquid extraction workflow by Maria Politi (University of British Columbia)
- Membrane-electrode-assembly-based accelerated screening platform for CO2 electrocatalyst discovery by Jiheon Kim, Hyeon Seok Lee (University of Toronto)
- Large Scale Raman Spectrum Calculations in Defective 2D Materials using Deep Learning by Dounia Kabakibo (Université de Montréal)
- Modulating and Mapping the Surface Functionalization of Graphene Field Effect Transistors by Jeanine Looman (Université de Montréal)
- Can you AI for high-throughput solid-state elemental analysis byMarie-Chloé Michaud Paradis (Université de Montréal)
- Sovatoconductivity: Electrospinning a new self-doped water soluble thiophene based polymer by Cephas Amoah (Université de Montréal)
- Presentation of the Institut Courtois & exploratory projects by Nathalie Tang, Carlos Silva, Delphine Bouilly (Université de Montréal)
- Accelerated design and assembly of synthetic microbial communities for sustainable chemicals manufacturing by Xu Chen, Joel Howard, Blake Lindner, Mohamad Moosavi, and Christopher E. Lawson (University of Toronto)
Demo: Autonomous Cloud Experimentation Demos in the AC Training Lab
Low-cost, open-science approaches to automation afford researchers greater flexibility in establishing SDL workflows while lowering financial barriers to accessing these systems. The AC Training Lab will present various solutions covering liquid handling, solid dispensing, capping/decapping, and sample transfer.
