Computer Science | Engineering Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems. December 4, 2023
Biomedical Engineering | Cardiology Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation. November 3, 2023
Computational Fluid Dynamics | Data-Driven Modeling | Engineering Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. May 22, 2023
Engineering | Physics Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches. March 30, 2023
Other Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning. November 30, 2022
Astrophysics | Physics Reduced-Order Modeling with Artificial Neurons for Gravitational-Wave Inference. July 9, 2019