Christian Moya

DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid’s post-fault trajectories

Christian Moya, Shiqi Zhang, Guang Lin et al. · Neurocomputing · 2023 · 53 citations · Full text

Engineering, Machine Learning, Smart Grid +8

DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

Christian Moya, Guang Lin · Neural Computing and Applications · 2022 · 42 citations

Engineering, Physic Aware Machine Learning, Numerical Simulation +7

B-DeepONet: An enhanced Bayesian DeepONet for solving noisy parametric PDEs using accelerated replica exchange SGLD

Guang Lin, Christian Moya, Zecheng Zhang · Journal of Computational Physics · 2022 · 40 citations · Full text

Enhanced Bayesian Deeponet, Physics, Pde-constrained Optimization +4

Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks

Guang Lin, Christian Moya, Zecheng Zhang · Engineering Applications of Artificial Intelligence · 2023 · 37 citations · Full text

Dynamical Response, Machine Learning, Engineering +6

Deep operator learning-based surrogate models with uncertainty quantification for optimizing internal cooling channel rib profiles

İzzet Şahin, Christian Moya, Amirhossein Mollaali et al. · International Journal of Heat and Mass Transfer · 2023 · 26 citations

Model Optimization, Internal Cooling Channel, Machine Learning +5