Learning the solution operator of parametric partial differential equations with physics-informed DeepONets

• A physics-informed meta-learning framework for the continuous solution of parametric PDEs on arbitrary geometries

  2026 Computers & Structures article Physics and Astronomy Model Reduction and Neural Networks Open access

  4

  citations
• Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs

  2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks

  10

  citations
• Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning

  2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access

  7

  citations
• Hybrid modelling of leaf traits: Integrating neural networks with radiative transfer theory

  2025 Remote Sensing of Environment article Environmental Science Remote Sensing in Agriculture Open access

  8

  citations
• SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures

  2025 Journal of the Mechanics and Physics of Solids article Physics and Astronomy Model Reduction and Neural Networks Open access

  18

  citations
• Inverse modeling of process parameters from data to predict the cooling behavior in injection molding

  2025 Journal of Manufacturing Processes article Physics and Astronomy Model Reduction and Neural Networks

  8

  citations
• A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations

  2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  27

  citations
• Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space

  2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

  5

  citations
• A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains

  2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access

  39

  citations
• Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests

  2024 Smart Materials and Structures article Materials Science Shape Memory Alloy Transformations Open access

  7

  citations
• Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains

  2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  98

  citations

11 results