Ziyu’s paper titled “Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data” has been accepted for publication in a prestigious journal in computational science and engineering, Computer Methods in Applied Mechanics and Engineering (impact factor 7.2).