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

Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets

(2023) Subhayan De et al.   COMPUTATIONAL MECHANICS

Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN

(2022) Guang Lin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations

(2022) Hamidreza Eivazi et al.   PHYSICS OF FLUIDS

Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction

(2022) Nakyoung Kim et al.   IEEE Transactions on Smart Grid

HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations

(2022) Yao Huang et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

NH-PINN: Neural homogenization-based physics-informed neural network for multiscale problems

(2022) Wing Tat Leung et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Operator learning for predicting multiscale bubble growth dynamics

(2021) Chensen Lin et al.   JOURNAL OF CHEMICAL PHYSICS

A multi-stage deep learning based algorithm for multiscale model reduction

(2021) Eric Chung et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans

(2021) Samriti Sharma et al.   COMPUTERS IN BIOLOGY AND MEDICINE

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks

(2021) Shengze Cai et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics

(2021) Weiqi Ji et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Machine Learning-Driven Virtual Bidding With Electricity Market Efficiency Analysis

(2021) Yinglun Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

(2021) Moloud Abdar et al.   Information Fusion

RESEARCH AND GOOGLE TREND FOR HUMAN NEUROPSYCHIATRIC DISORDERS AND MACHINE LEARNING: A BRIEF REPORT

(2021) Manik Sharma et al.   Psychiatria Danubina

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis

(2020) Ritu Gautam et al.   JOURNAL OF MEDICAL SYSTEMS

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

(2020) Liu Yang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Systems biology informed deep learning for inferring parameters and hidden dynamics

(2020) Alireza Yazdani et al.   PLoS Computational Biology

ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains

(2019) Nick Winovich et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Detection of power grid disturbances and cyber-attacks based on machine learning

(2019) Defu Wang et al.   Journal of Information Security and Applications

Data driven governing equations approximation using deep neural networks

(2019) Tong Qin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Sentiment analysis using deep learning architectures: a review

(2019) Ashima Yadav et al.   ARTIFICIAL INTELLIGENCE REVIEW

Hierarchical Deep Learning Machine for Power System Online Transient Stability Prediction

(2019) Lipeng Zhu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An Online Power System Stability Monitoring System Using Convolutional Neural Networks

(2018) Ankita Gupta et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Learning partial differential equations via data discovery and sparse optimization

(2017) Hayden Schaeffer   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning

(2013) Miao He et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Synchronization and Transient Stability in Power Networks and Nonuniform Kuramoto Oscillators

(2012) Florian Dörfler et al.   SIAM JOURNAL ON CONTROL AND OPTIMIZATION