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• Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
  2022 · 2322 citations
• Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
  2023 · 2 citations
• BARNN: A Bayesian Autoregressive and Recurrent Neural Network
  2025 · 1 citations
• Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation
  2026
• Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation
  2022
• Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
  2023