Yao Lai
Assistant Professor at Stanford studying fluids, ML, and the physics of ice & climate change. icyphysics.stanford.edu
youtube.com/@c.yaolai
- We're pleased to release DIFFICE-jax v1.0, the foundation of our Science paper and a #DIFFerentiable #NeuralNetwork solver for #DataAssimilation of ICE shelves written in #JAX: 🔗Docs: diffice-jax.readthedocs.io/en/latest/in... 📄Peer-reviewed by JOSS #OpenSource: joss.theoj.org/papers/10.21...
- Finally published @science.org: Can AI help yield new insights from vast amounts of Earth data? We use large-scale data and neural nets to find the constitutive laws of glacial ice, which differ from commonly assumed forms in conventional models. #ScienceResearch www.science.org/doi/10.1126/...
- From #PhysicsInformedML to #MLInformedPhysics: We're excited about the "knowledge discovery" component of this project utilizing vast amount of Earth data. 🌎 There is much more out there to be discovered, as nature's imagination is far greater than that of humans. Don't stop searching.💡
- Reposted by Yao Lai[Not loaded yet]
- news.stanford.edu/stories/2025... NASA Earth data + AI enable us to infer the constitutive models critical for ice dynamics. AI is useful, but no data = no discovery. Below is an example of the training data: a velocity map showing the dynamics of the Antarctic Ice Sheet. Source: #NASA.
- Finally published @science.org: Can AI help yield new insights from vast amounts of Earth data? We use large-scale data and neural nets to find the constitutive laws of glacial ice, which differ from commonly assumed forms in conventional models. #ScienceResearch www.science.org/doi/10.1126/...
- Looking forward to learning about recent advances in #AI4Climate at the @apsphysics.bsky.social #GlobalPhysicsSummit meeting. Come check out the back-to-back focus sessions, "AI Applications in Weather and Climate I & II," on Tuesday from 9:00 AM to 1:30 PM! summit.aps.org/schedule/?c=...
- Reposted by Yao Lai[Not loaded yet]
- Finally published @science.org: Can AI help yield new insights from vast amounts of Earth data? We use large-scale data and neural nets to find the constitutive laws of glacial ice, which differ from commonly assumed forms in conventional models. #ScienceResearch www.science.org/doi/10.1126/...
