Research
Driftver's research team advances the science of physics AI — from geometry-aware neural operators to uncertainty quantification for engineering decisions.
Science in service of engineering
Our research is grounded in real industrial problems. We publish benchmarks, contribute to the scientific machine learning community, and translate advances directly into the platform our customers use to design real systems.
Collaborate with us
We partner with universities and national labs on open problems in computational physics and machine learning. If your work intersects with learned physics, we would like to connect.
Neural operators
Learning solution operators for PDEs that generalize across geometries and conditions.
Uncertainty quantification
Trustworthy predictions with calibrated confidence for high-stakes engineering.
Multi-physics coupling
Modeling interacting structural, thermal, and fluid phenomena end to end.
Ready to go deeper?
Talk to our team about embedding physics AI in your engineering programs.