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• Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
  2023 · 47 citations
• AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
  2024 · 23 citations
• Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures
  2025 · 20 citations
• AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
  2024 · 9 citations
• AI-Driven Expansion and Application of the Alexandria Database
  2025 · 6 citations
• Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
  2021 · 4 citations
• Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
  2025 · 2 citations
• Physics-Constrained Machine Learning for Chemical Engineering
  2025 · 1 citations
• Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores
  2025 · 1 citations