Leading the way in open Earth observation AI
Deep Dive
Juan Bernabé-Moreno
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
Introducing Thinking-in-Modalities with TerraMind
Technical noteBenedikt Blumenstiel and Johannes JakubikAI-powered satellites will upend how we observe our changing planet
ReleaseMike MurphyHere comes a foundation model for the Sun
ReleaseKim Martineau and Mike MurphyIBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim MartineauMeet AI-Hilbert, a new algorithm for transforming scientific discovery
NewsPeter Hess- See more of our work on Physical Sciences
Projects
Low-temperature scanning tunneling microscopy and atomic force microscopy.
Publications
Foundation Models Enabling Multi-Scale Battery Materials Discovery: From Molecules To Devices
- Vidushi Sharma
- Andy Tek
- et al.
- 2025
- NeurIPS 2025
Magnetic tunnel junction and spin-current in modern computing
- Jonathan Sun
- 2025
- Journal of Physics D: Applied Physics
High-throughput computational analysis of kinetic barriers to ring-closing depolymerization for aliphatic polycarbonates
- Brandi Ransom
- Riccardo Bosio
- et al.
- 2025
- npj Computational Materials
In-situ tunneling control in photonic potentials by Rashba-Dresselhaus spin-orbit coupling
- Rafal Mirek
- Pavel Kokhanchik
- et al.
- 2025
- Optica
Charge-to-spin current conversion efficiency in a spin-harvesting structure with spin-current loading and finite conductance
- Jonathan Sun
- 2025
- Journal of Applied Physics
Chemical Foundation Model-Guided Design of High Ionic Conductivity Electrolyte Formulations
- Murtaza Zohair
- Vidushi Sharma
- et al.
- 2025
- npj Computational Materials