3 papers
cs.MS2026
ADDA: a Modular Framework for Representing, Simulating and Assimilating Dynamics with End-to-end Differentiability
Anthony Frion, Vien Minh Nguyen-Thanh, Ali Can Bekar +3
Data assimilation (DA) is an essential tool for prediction and understanding in the geosciences. DA combines simulation programs representing scientific knowledge with observations…
astro-ph.EP2025
Physics-based machine learning for mantle convection simulations
Siddhant Agarwal, Ali Can Bekar, Christian Hüttig +2
Mantle convection simulations are an essential tool for understanding how rocky planets evolve. However, the poorly known input parameters to these simulations, the non-linear depe…
cs.LG2023
Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator
A. C. Bekar, E. Haghighat, E. Madenci
This study proposes a novel framework for learning the underlying physics of phenomena with moving boundaries. The proposed approach combines Ensemble SINDy and Peridynamic Differe…