08:58
2023 AGU- Yongji Wang: "Accessing ice rheology using physics-informed deep learning"
12:19
2023 AGU- Yue Meng: "Thickness of Greenland MĂŠlange"
20:43
AI/ML in Geophysics- Ching-Yao Lai "Physics-informed deep learning for geophysical inverse problems"
01:04:56
2023 QGIS Tutorial by Riley Culberg
01:05:07
2023 Satellite Data Tutorial by Riley Culberg
11:44
2023 EGU- Yue (Olivia) Meng: "Vulnerability of Firn to Hydrofracture: Poromechanics Modeling"
13:08
2022 AGU- Ching-Yao Lai: "Bridging Antarctic observations and models with deep learning"
14:05
2020 AGU- Ching-Yao Lai: "Seasonally evolving transmissivity beneath Greenland supraglacial lakes"
27:42
2022 PCTS- Ching-Yao Lai: "How does ice flow and crack in a warming climate?"
16:00
2021 AGU- Ching-Yao Lai: "Destabilization of Antarctic hydrofracture and ice-shelf collapse speed"
11:53
2015 Princeton MAE holiday slideshow
X
About
Inspired by Feynmanâs saying âPeople who wish to analyze nature without using mathematics must settle for a reduced understanding,â we equally believe that analysis of nature without data must settle for a reduced representation.
This motivates our group to work on bridging the gap between the two. We study the physics of ice & climate change.
Excited to share our passion for our work with you. To learn more about what we do, check out some of our recorded talks and tutorials. #openscience
Tags