Estimating model inadequacy in ordinary differential equations with physics-informed neural networks

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

(2020) E. Samaniego et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

(2019) Dongkun Zhang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep long short-term memory networks for nonlinear structural seismic response prediction

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

(2019) Somdatta Goswami et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

Non-intrusive reduced order modeling of nonlinear problems using neural networks

(2018) J.S. Hesthaven et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

Projection-based model reduction: Formulations for physics-based machine learning

(2018) Renee Swischuk et al.   COMPUTERS & FLUIDS

Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

(2018) Benjamin Peherstorfer et al.   SIAM REVIEW

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

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

(2017) Gae-Won You et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Using SCADA data for wind turbine condition monitoring – a review

(2017) Jannis Tautz-Weinert et al.   IET Renewable Power Generation

Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey

(2017) R. Uma Maheswari et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

The Wind Integration National Dataset (WIND) Toolkit

(2015) Caroline Draxl et al.   APPLIED ENERGY

A comparative study on vibration-based condition monitoring algorithms for wind turbine drive trains

(2013) David Siegel et al.   WIND ENERGY

Quantification of model-form and predictive uncertainty for multi-physics simulation

(2010) Matthew E. Riley et al.   COMPUTERS & STRUCTURES

Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output

(2008) J. McFarland et al.   AIAA JOURNAL

Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity

(2008) D. Amsallem et al.   AIAA JOURNAL

Engineering computation under uncertainty – Capabilities of non-traditional models

(2007) Bernd Möller et al.   COMPUTERS & STRUCTURES