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• A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
  2020 · 42 citations
• Physics-informed active learning with simultaneous weak-form latent space dynamics identification
  2024 · 8 citations
• A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
  2024 · 8 citations
• Reduced-order modeling for parameterized PDEs via implicit neural representations
  2023 · 2 citations
• Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
  2023 · 1 citations
• WGFINNs: Weak formulation-based GENERIC formalism informed neural networks
  2026
• Physics-Informed Latent Space Dynamics Identification for Time-Dependent NLTE Atomic Kinetics
  2026
• A Reduced Order Model approach for First-Principles Molecular Dynamics Computations
  2026
• Sequential decoder training for improved latent space dynamics identification
  2025
• Generative Latent Space Dynamics of Electron Density
  2025
• Model Order Reduction for Quantum Molecular Dynamics
  2025
• Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
  2025
• Physics-informed reduced order model with conditional neural fields
  2024