X-Ray based computed tomography (CT) is a well-established technique for...
U.S. Nuclear Regulatory Committee (NRC) and U.S. Department of Energy (D...
Computationally efficient and trustworthy machine learning algorithms ar...
In the last few decades, uncertainty quantification (UQ) methods have be...
To understand the potential of intelligent confirmatory tools, the U.S.
...
Robust optimization is a method for optimization under uncertainties in
...
The Gaussian Process (GP)-based surrogate model has the inherent capabil...
It is important to accurately model materials' properties at lower lengt...
Industry 4.0 targets the conversion of the traditional industries into
i...
Surrogate modeling has brought about a revolution in computation in the
...
The concept of small modular reactor has changed the outlook for tacklin...
Deep learning has been proposed for the assessment and classification of...
Convolutional Neural Networks (CNNs) is one of the most popular algorith...
In this paper, we proposed a fast recovery strategy for a dual link fail...