Accurate prediction of the mechanical failure of structural components plays an important role in the design of engineering structures. However, the fracture process is challenging to model ...

Process Systems Engineering NEXT. Elman Neural Networks Combined with Extended Kalman Filters for Data-Driven Dynamic Data Reconciliation in Nonlinear Dynamic Process Systems. Guiting Hu. ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the ...

Romit Maulik Assistant Professor, Data Science, Pennsylvania State University Wednesday, Mar. 12 | 10 a.m. | AERO 114. Abstract: Machine learning stands poised to revolutionize the process of ...