Congrats to the recipients of our first AC Craft seed grants! Funded projects will explore integrated digital microfluidics platform for autonomous low-volume cell assays and advance SDLs for organ-on-a-chip with multiplexed molecular biosensing.
Read more: acceleration.utoronto.ca/news/the-acc...
Our new paper in @digital-discovery.rsc.org - Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories pubs.rsc.org/en/content/a... @liverpooluni.bsky.social
Poster bearing the UofT department of Chemistry logo, a photo of a lecturer, and the same info, time/date and links as the text of this social post.
Special Chemistry Seminar: Professor Don Craig of Imperial College, London will give a talk entitled “Stereoselective Assembly of Nitrogen Heterocycles: Methods Development and Total Synthesis” Tuesday, April 21, 2026 10:00 am. Learn More: www.chemistry.utoronto.ca/events
In this month’s In-Action video, Mehdy Dousty reflects on how the Schmidt Fellowship helped reshape his research journey💡.
Since becoming a Schmidt Fellow, he is now using radio-frequency signals and AI to optimize his prediction models📊.
#JOB OPP: We're hiring Staff Scientists across a range of levels to support our AI and Automation self-driving lab at the AC🚀
Staff Scientist ⮕ jobs.utoronto.ca/job-invite/4...
Staff Research Scientist ⮕ jobs.utoronto.ca/job-invite/4...
Senior Staff Scientist ⮕ jobs.utoronto.ca/job-invite/4...
Poster bearing the UofT department of Chemistry logo, a photo of a lecturer, and the same info, time/date and links as the text of this social post.
Special Chemistry Seminar: Professor Jesse Greener of Université Laval will give a talk entitled “A Digital Twin of Electroactive Biofilms Reveals Hidden Metabolic Structure,” on Thursday, April 2 at 3PM. Learn more: www.chemistry.utoronto.ca/events
We’re excited to welcome the NVIDIA team to campus today for a special seminar led by NVIDIA’s Director of Digital Biology Anthony Costa—join us today, March 30 at 4:30 PM EST!
Register now to attend in person at @utoronto.ca: airtable.com/appYBjHgttvB...
This is a platform engineering role focused on making the system reliable, scalable, and accessible to users worldwide. You’ll work alongside computational chemists, ML researchers, and HPC specialists in a leading scientific AI lab.
👏 We’re looking to hire two Full Stack Software Engineers at The Matter Lab to build and scale the cloud infrastructure behind El Agente.
🔗 jobs.utoronto.ca/job/Toronto-...
Closing Date: 04/04/2026, 11:59PM ET
Poster bearing the UofT department of Chemistry logo, a photo of a lecturer, and the same info, time/date and links as the text of this social post.
Colloquium: Professor Pratyush Tiwary, University of Maryland, will discuss “AI for Chemistry: Bubble, Blockbuster or Boomerang?,” on Friday, March 27, 2026 at 10:00 am. Learn more: www.chemistry.utoronto.ca/events
#UofT donors got glimpse the future of science at a showcase highlighting Arts & Science students and faculty. AC postdoc Miro Bogdanovic and @thematterlab.bsky.social student @allanzhao.bsky.social showcased AI-powered robotic labs, demonstrating how self driving labs are transforming discovery!
- Qi Gao, Shumpei Uno, Kohei Oshio, Naoki Watanabe, Takeshi Sato, Naoki Yamamoto, Shunya Minami, Yohichi Suzuki, Yuma Nakamura, @ja-camga.bsky.social, Mohammad Ghazi Vakili, and @aspuru.bsky.social.
Kudos to the incredible cross-institutional team: Kimberlee Keithley, Shunsuke Yamamoto, Ryota Kenmoku, Ikko Hamamura, Kouhei Nakaji, Shu Kanno, Takao Kobayashi -
🔬 This is a major step toward practical quantum simulations for real-world chemistry, freeing up computational bottlenecks so researchers can focus on the science.
🖥️ GPU-Accelerated Performance: By leveraging NVIDIA GPUs and the CUDA-Q platform, we achieved the massive computational power needed to seamlessly execute these complex quantum experiments.
⚡ Massive Efficiency: Our generative AI approach cuts the total quantum gate count by nearly 60% compared to traditional VQE methods, amplifying cost savings across the entire calculation.
⚛️ Proven Accuracy: We successfully simulated the complex Auger spectrum of water, achieving strong agreement with both exact classical models and experimental data.
To solve this, we built a hybrid workflow that automates and accelerates the process:
🤖 AI-Generated Quantum Circuits: Instead of manual setup, we use a GPT-2 model (Generative Quantum Eigensolver, or GQE) to generate optimized quantum circuits.
Predicting how materials absorb and emit energy is crucial for developing smaller, better semiconductors.
We rely on Auger electron spectroscopy to measure these processes, but calculating them is incredibly hard for classical computers due to the massive number of excited states involved.
What if AI could write quantum circuits to help us design next-generation materials?
We’re excited to share our new preprint: "Auger Spectroscopy via Generative Quantum Eigensolver: A Quantum Approach to Molecular Excitations".
📃 arxiv.org/abs/2603.12859
Self-driving labs are democratizing science🚀
In a workshop run by @utoronto.ca & Clubes de Ciencia México supported by the AC, 25 students in Xalapa, Mexico remotely ran experiments on a robot in Toronto to learn about AI & robotics in real time.
Read more: acceleration.utoronto.ca/news/the-acc...
Featuring Ashley Dale, a Schmidt AI in Science Fellow, who is developing TRustworthy AI Tools for Science, creating ways to measure robustness, interpretability, and reliability across AI methods used in the lab 🔍.
Colloquium: Professor Tim Newhouse of Yale University will discuss “Computationally Augmented Total Synthesis,” on Friday, March 13, 2026 at 10:00 am. Learn more: www.chemistry.utoronto.ca/events
From aging to fetal health and clean energy to pharmaceuticals, the Acceleration Consortium awards over $2 million to projects that accelerate scientific discovery in a wide range of fields. Read more: acceleration.utoronto.ca/news/from-ag...
Poster bearing the UofT department of Chemistry logo, a photo of a lecturer, and the same info, time/date and links as the text of this social post.
Physical Seminar Series: Gabriella Wang will discuss “Nonlinear Raman Response as Evidence of Photooxidation on the Surface of PbS Quantum Dots,” on Tuesday, March 10, 2026 at 11:00 am. Learn more: www.chemistry.utoronto.ca/events
The way to train the BioMetagenome and sequence embedding as BioNLP for large scale sequence inferences.
As tabular data and inferences.
You can buy one of these from a company in Singapore (exasynth.ai), light jazz not included: www.youtube.com/watch?v=gD1h...
Kudos to the authors: Raul Ortega Ochoa, @realmantilla.bsky.social, Juan Bernardo Pérez Sánchez, Mohsen Bagherimehrab, @an-aldossary.bsky.social, @tvegge.bsky.social, Tonio Buonassisi, and @aspuru.bsky.social.
[5/5]
Overall, the perspective aims to provide a more physically grounded framework for thinking about representation learning in chemistry.
[4/5]
The article highlights:
- Conceptual links between quantum tomography and modern molecular machine learning foundation models
- Informational completeness as a guiding principle for shaping latent structure
- Implications for dataset design, supervision strategies, and benchmarking
[3/5]
