Ice-flow model emulator based on physics-informed deep learning

Forming Terrains by Glacial Erosion

(2023) Guillaume Cordonnier et al.   ACM TRANSACTIONS ON GRAPHICS

A hybrid deep neural operator/finite element method for ice-sheet modeling

(2023) QiZhi He et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Ice-flow model emulator based on physics-informed deep learning

(2023) Guillaume Jouvet et al.   JOURNAL OF GLACIOLOGY

Inversion of a Stokes glacier flow model emulated by deep learning

(2022) Guillaume Jouvet   JOURNAL OF GLACIOLOGY

A priori and a posteriori error estimates for the Deep Ritz method applied to the Laplace and Stokes problem

(2022) P. Minakowski et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

(2021) Douglas Brinkerhoff et al.   JOURNAL OF GLACIOLOGY

Data‐Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics‐Informed Neural Networks: Case study on Rutford Ice Stream, Antarctica

(2021) B. Riel et al.   Journal of Advances in Modeling Earth Systems

Deep learning speeds up ice flow modelling by several orders of magnitude

(2021) Guillaume Jouvet et al.   JOURNAL OF GLACIOLOGY

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Mechanical error estimators for shallow ice flow models

(2016) G. Jouvet   JOURNAL OF FLUID MECHANICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Ice-sheet modelling accelerated by graphics cards

(2014) Christian Fredborg Brædstrup et al.   COMPUTERS & GEOSCIENCES

Ice-Sheet Dynamics

(2012) Christian Schoof et al.   Annual Review of Fluid Mechanics