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
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- 2025
- ICLR 2025
Carrier-Resolved Photo-Hall Analysis of Selenium Thin Films and Solar Cells
- Rasmus Nielsen
- Oki Gunawan
- et al.
- 2025
- MRS Spring 2025
A systematic study of temperature, polarity, thickness, and ramp rate dependencies of ramp-voltage stress for SiO2 and its comparison with 2D gate dielectrics
- Ernest Y Wu
- Richard G. Southwick
- et al.
- 2025
- IRPS 2025
Neural learning rules from associative networks theory
- 2025
- Neurocomputing
Constructing an open database of barrier heights for diverse elementary organic reactions
- 2025
- ACS Spring 2025