TerraStackAI: Bringing Earth and space AI to Red Hat and the world
Technical note
Campbell Watson, Charles Wachira, Rosie Lickorish, Romeo Kienzler, Blair Edwards, and Michael Johnston
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
From atoms to chips: Thermonat models heat with unprecedented accuracy
NewsPeter HessA new advance in a two-century pursuit in physics
Technical noteOki Gunawan, Doug Bishop, and Bonfilio NainggolanLeading the way in open Earth observation AI
Deep DiveJuan Bernabé-MorenoIntroducing Thinking-in-Modalities with TerraMind
Technical noteBenedikt Blumenstiel and Johannes JakubikAI-powered satellites will upend how we observe our changing planet
ReleaseMike Murphy- See more of our work on Physical Sciences
Projects
Low-temperature scanning tunneling microscopy and atomic force microscopy.
Publications
Momentum-Accelerated Structured Preconditioning for Physics-Informed Neural Networks
- Indra Priyadarsini S
- Onur Boyar
- et al.
- 2026
- ICLR 2026
Workshop paperQuantum chemistry with provable convergence via randomized sample-based quantum diagonalization
- 2026
- APS Global Physics Summit 2026
TalkHigh-throughput search of topological materials for interconnects using first-principles transport calculations and machine learning
- Kai Wagoner-oshima
- Michelle Guo
- et al.
- 2026
- APS Global Physics Summit 2026
TalkElectronic and magnetic properties of lanthanide atomic chains and nanostructures assembled atom-by-atom
- Christopher Lutz
- Gregory Czap
- et al.
- 2026
- APS Global Physics Summit 2026
Conference paperElectron-spin resonance atomic force microscopy and tip-induced chemistry
- Lisanne Sellies
- Raffael Spachtholz
- et al.
- 2026
- APS Global Physics Summit 2026
TalkPurcell-enhanced single-photon generation from CsPbBr3 quantum dots in in-situ selected Laguerre-Gaussian modes
- Virginia Oddi
- Darius Urbonas
- et al.
- 2026
- ACS Nano
Paper