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• Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks
  2024 · 12 citations
• Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning
  2023 · 8 citations
• Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information
  2023 · 6 citations
• Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
  2024 · 4 citations
• AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression
  2023 · 3 citations
• iMapD: intrinsic Map Dynamics exploration for uncharted effective free energy landscapes
  2017 · 2 citations
• Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data
  2022 · 2 citations
• Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
  2025 · 1 citations
• Fast-Slow Neural Networks for Learning Singularly Perturbed Dynamical Systems
  2024 · 1 citations
• Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors
  2023 · 1 citations
• Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems
  2023