← authors · overview

• Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
  2022 · 4 citations
• A physics-aware machine to predict extreme events in turbulence
  2019 · 3 citations
• Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach
  2023 · 2 citations
• Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
  2024 · 2 citations
• A physics-based domain adaptation framework for modelling and forecasting building energy systems
  2022
• Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
  2022