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• Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  2022 · 130 citations
• Learning stiff chemical kinetics using extended deep neural operators
  2023 · 56 citations
• Physics-Informed Deep Neural Operator Networks
  2022 · 13 citations
• Learning in latent spaces improves the predictive accuracy of deep neural operators
  2023 · 13 citations
• Time Marching Neural Operator FE Coupling: AI Accelerated Physics Modeling
  2025 · 5 citations
• Physics-Informed Latent Neural Operator for Real-time Predictions of time-dependent parametric PDEs
  2025 · 2 citations
• Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)
  2025
• Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
  2025
• Causality-Respecting Adaptive Refinement for PINNs: Enabling Precise Interface Evolution in Phase Field Modeling
  2024
• On the influence of over-parameterization in manifold based surrogates and deep neural operators
  2022