Journal

Post, March 10, 2022 • Francesco Rizzi, Eric Parish, Patrick Blonigan, and John Tencer Computer Methods in Applied Mechanics and Engineering, 384(1) This work aims to advance computational methods for projection-based reduced order models (ROMs) of linear time-invariant (LTI) dynamical systems. For such systems, current practice relies on ROM formulations expressing the state as a...

Post, January 10, 2022 • J. Tencer and K. Potter SIAM J. Sci. Comput., 43(4), A2581–A2613 We propose a nonlinear manifold learning technique based on deep convolutional autoencoders that is appropriate for model order reduction of physical systems in complex geometries. Convolutional neural networks have proven to be highly advantageous for compressing data arising from systems...

Post, March 10, 2022 • Victor E Brunini, Eric Parish, John Tencer, and Francesco Rizzi ASME Journal of Heat Transfer A projection-based reduced order model (pROM) methodology has been developed for transient heat transfer problems involving coupled conduction and enclosure radiation. The approach was demonstrated on two test problems of varying complexity. The reduced order...