427 citations · 563 across the 8 of their papers we have counts for
3 papers · 1 filter
A physics-informed variational DeepONet for predicting the crack path in brittle materials
Somdatta Goswami, Minglang Yin, Yue Yu +1
Failure trajectories, identifying the probable failure zones, and damage statistics are some of the key quantities of relevance in brittle fracture applications. High-fidelity nume…
Theory and simulation of electrokinetic fluctuations in electrolyte solutions at the mesoscale
Mingge Deng, Faisal Tushar, Luis Bravo +3
Electrolyte solutions play an important role in energy storage devices, whose performance highly relies on the electrokinetic processes at sub-micron scales.\ Although fluctuations…
DeepONet prediction of linear instability waves in high-speed boundary layers
P. Clark Di Leoni, L. Lu, C. Meneveau +2
Deep operator networks (DeepONets) are trained to predict the linear amplification of instability waves in high-speed boundary layers and to perform data assimilation. In contrast…