Physical Sciences
Our physical sciences researchers seek to understand materials and their properties through advanced characterization methods, explore novel devices and materials for new computational platforms, and apply physics to improve AI algorithms and interpretability.
Our work
IBM and ESA open-source TerraMind, the best performing generative AI model for Earth observation
ReleaseAshley PetersonMeet AI-Hilbert, a new algorithm for transforming scientific discovery
NewsPeter HessResolving the first anti-aromatic carbon allotrope
Technical noteLeo GrossEl Niño may provide an early warning signal for toxic algae blooms on Lake Erie
NewsKim MartineauScanning probe microscopy technique could open the door to molecular machines
ResearchLeo Gross, Florian Albrecht, and Ivano TavernelliComputer simulations identify new ways to boost the skin’s natural protectors
ResearchJason Crain5 minute read- See more of our work on Physical Sciences
Projects
Low-temperature scanning tunneling microscopy and atomic force microscopy.
Publications
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
Electrical Performance of Hybrid Bonding with Sub-Micron Cu-Cu Bonding Contacts: Effects of Scaling, Microstructure, and Surface Morphology
- Sari Zerey
- Alina Bennett-dubin
- et al.
- 2025
- ECTC 2025
Fast And Accurate Machine Learning Prediction of Back-End-Of-Line Thermal Resistances in Backside Power Delivery and Chiplet Architectures
- Prabudhya Roy Chowdhury
- Aakrati Jain
- et al.
- 2025
- ECTC 2025
How AI can accelerate Materials Discovery for CO2 Capture
- 2025
- Canadian Separations Symposium 2025
Opportunities of Scalable and Electrostatically Optimized Electrodes for Electric Field- and Current-Driven Microfluidic Applications
- 2025
- Biomicrofluidics
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- 2025
- ICLR 2025