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20182021
most citedA comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations

34 citations · 37 across the 5 of their papers we have counts for

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math.PR2019

Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models

Ramakrishna Tipireddy, David A Barajas-Solano, Alexandre M. Tartakovsky

We use a conditional Karhunen-Loève (KL) model to quantify and reduce uncertainty in a stochastic partial differential equation (SPDE) problem with partially-known space-dependent…