P. Behnoudfar

activity

20182026

most citedExplicit high-order generalized-

α

methods for isogeometric analysis of structural dynamics

19 citations · 47 across the 18 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

$Ω$ : Operator-based Mixture Ensemble for Generative Assimilation

Pouria Behnoudfar, Nan Chen

Characterizing non-Gaussian posterior distributions in partially observed high-dimensional nonlinear systems remains a fundamental challenge in data assimilation. Ensemble Kalman f…

cond-mat.mtrl-sci2026

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

Pouria Behnoudfar, Deekshith Naidu Ponnana, Noah J. Schmelzer +6

We present a probabilistic modeling framework for incorporating small-scale spatial heterogeneity into macroscopic descriptions of material behavior for polycrystalline metallic ma…

Ω: Operator-based Mixture Ensemble for Generative Assimilation

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

$Ω$ : Operator-based Mixture Ensemble for Generative Assimilation