Christian Moya | DeepAI

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∙ 06/01/2023

Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles

This paper designs surrogate models with uncertainty quantification capa...

0 Izzet Sahin, et al. ∙

∙ 01/29/2023

On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators

This paper designs an Operator Learning framework to approximate the dyn...

0 Christian Moya, et al. ∙

∙ 09/21/2022

DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems

This paper develops a Deep Graph Operator Network (DeepGraphONet) framew...

0 Yixuan Sun, et al. ∙

∙ 02/15/2022

DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories

This paper proposes a new data-driven method for the reliable prediction...

0 Christian Moya, et al. ∙

∙ 09/09/2021

DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks

Deep learning-based surrogate modeling is becoming a promising approach ...

0 Christian Moya, et al. ∙

∙ 06/09/2018

Application of Correlation Indices on Intrusion Detection Systems: Protecting the Power Grid Against Coordinated Attacks

The future power grid will be characterized by the pervasive use of hete...

0 Christian Moya, et al. ∙

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