2 papers
physics.flu-dyn2025
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
Qian Zhang, Dmitry Krotov, George Em Karniadakis
Machine learning methods have shown great success in various scientific areas, including fluid mechanics. However, reconstruction problems, where full velocity fields must be recov…
cs.NE2024
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Ruyin Wan, Qian Zhang, George Em Karniadakis
Spiking neural networks (SNNs) represent a promising approach in machine learning, combining the hierarchical learning capabilities of deep neural networks with the energy efficien…