News
April 2024:
So proud to see formal student Yuno for winning the 2024 Paul & Daisy Soros Fellowships for New Americans, that supports outstanding immigrants and children of immigrants who are pursuing graduate education in the US. Read more here.
February 2024:
Yao is honored to receive the 2024 Sloan Research Fellowship! This wouldn't be
possible without our amazing group members and colleagues' nomination.
January 2024:
Congratulations to Olivia on winning the Early Career Investigator Award from the APS Group on the Physics of Climate!
December 2023:
Yao gave a keynote seminar at the JFM/DAMTP/LIFD joint Fluid Mechanics Webinar Series “Solution discovery in fluid dynamics using neural networks”
Watch the recording here.
November 2023:
Yao gave an invited talk “Physics-informed deep learning for geophysical inverse problem” at the National Academies of Sciences, Engineering, and Medicine Meeting Artificial Intelligence and Machine Learning in Geophysics - Are We Beyond the Black Box?
Lots of stimulating questions and discussions! Watch the recording here.
June 2023:
Our paper “Asymptotic Self-Similar Blow-Up Profile for Three-Dimensional Axisymmetric Euler Equations Using Neural Networks” by postdoc Yongji Wang in collaboration with Tristan Buckmaster and Javier Gómez-Serrano is now published in Physical Review Letters. Whether 3 dimensional incompressible Euler equations can blow up in finite times is a century-old open problem. We showed that deep learning can shed new light to this mystery via PDE-constrained neural networks. Check out this wonderful Quanta article “Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations” that features our work.
Video credit: Quanta Magazine
June 2023:
Our group has just moved to Stanford!! We look forward to getting to know colleagues on the West Coast and exploring collaborations!
May 2023:
Yao just received the 2023 Research Scholar Award from Google Research!
March 2023:
Our collaborative project “Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks”, led by Prof. Alex Ionescu, Prof. Tristan Buckmaster, Prof. Javi Gomez Serrano, Prof. Ching-Yao Lai, and Prof. Hao Jia received the NSF grant Focused Research Groups (FRG) in the Mathematical Sciences.
February 2023:
Our collaborative project “Understanding surface-to-bed meltwater pathways across the Greenland Ice Sheet using machine-learning and physics-based models” led by Prof. Ching-Yao Lai, Prof. Leigh Stearns (KU), Prof. Laura Stevens (OXFORD) and Prof. Ian Hewitt (OXFORD) received funding from the US NSF- UK NERC collaborative grant!
Illustration: Agata Nowicka
December 2022:
CSML News: Ching-Yao Lai yields machine learning to explore ice sheet physics
Check out Yao’s story and work featured in the Princeton Alumni Weekly magzine: Behind the Research: Ching-Yao Lai *18 in Geoscience and More.
May 2022:
Big congrats to our talented group members for their achievements related to the use of physics-informed neural networks in various projects from applied math to climate modeling:
Yuno Iwasaki was awarded the Allen G. Shenstone Prize in Physics for her independent research “Optimization of Physics-Informed Neural Networks for Ice Shelf Modeling” and excellence in course work.
Charlie Cowen-Breen received the Sigma Xi Book Award in the Math Department for his senior thesis “Navigating Physically-Informed Loss Landscapes with Stochastic Gradient Descent”.
Ryan Eusebi was awarded the best oral presentation prize in Princeton’s Program in Applied and Computational Mathematics (PACM) for his senior thesis “Physics-Informed Neural Networks for Tropical Cyclone Data Assimilation and Modeling”.
Yongji Wang gave a great invited talk “Physics-Informed Neural Networks for solving 3-D Euler equation” at the Mathematics, Physics & Machine Learning webinar! Check out the recorded seminar here.
March 2022:
Yao gave an invited talk at the DSOFT and GPC Focus Session Soft Matter Meets Climate Change at the APS March Meeting.
January 2022:
PCTS workshop: “Physics in the Ground Beneath our Feet” January 5-7, 2022.
Interested in learning about how statistical and nonlinear physics sheds light in earth sciences- from erosion to deformation and flows of soil, rocks and ice? Check out this Princeton Center for Theoretical Science workshop I'm co-organizing with Sujit Datta, Ian Bourg, and Howard Stone. We had over 400 registered participants from institutions in academia and industry from all over the world, with backgrounds across Mathematics, Physics, Soft Matter, Geoscience, Fluid Dynamics, and Engineering!
November 2021:
Yongji gave a great talk at the GPC Focus Session Planetary Flows in Climate at the American Physical Society (APS) Division of Fluid Dynamics conference.
August 2021:
Danielle’s paper “Relaxation of a fluid-filled blister on a porous substrate” is published in Physical Review Fluids and selected as an Editors' Suggestion. Congrats Danielle!
What do the universal dynamics of ice-sheet surface relaxation tell us about transmissivity deep beneath the Greenland Ice Sheet? Check out the HMEI story about our paper in Nat. Commun.
Check out our paper combining field data, a mathematical model and an analogue lab experiment to infer the transmissivity beneath the ice sheet from lake drainage events published in Nature Communications!
I’ll be chairing the Focus Session "Planetary Flows in Climate" at the 74th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics (in-person! :D) Our session will highlight new physical insights fluid dynamicists can bring to climate science. We invite abstract submissions by August 2.
May 2021:
Great news at the end of the semester:
Charlie Cowen-Breen was awarded the Peter A. Greenberg '77 Prize in the Math Department. Congrats Charlie!
Yao received the New Ideas in the Natural Sciences Award from the Office of the Dean for Research at Princeton! Read the news here.
February 2021:
I’m very excited to welcome postdoc Yongji Wang and undergraduate student Charlie Cowen-Breen to our group!
August 2020:
Our Nature paper on the stability of Antarctic hydrofracture in a warming climate and the first machine-learning identified ice-sheet wide fracture map is published!
Media coverage: Nature News and Views, The Guardian, The New York Times, Reuters, Scientific American, Europapress (Spain), Earther, New Scientist (UK), LiveScience, Earth Institute, Agence-France Presse, Ars Technica, Frankfurter Algemeine, The Independent (UK), La Presse (Canada), ABC (Spain), Corriere del Ticino (Switzerland), Daily Mail (UK), RTBF (Belgium), Cosmos (Australia), Notizie Scientifiche (Italy), Gizmodo
A wonderful Nature commentary by Jeremy Bassis on our paper and the unsettled issues related to ice-shelf vulnerability- Crevasse analysis reveals vulnerability of ice shelves to global warming
