Graduate Internship at ORNL
May 2024 - December 2024 and May 2025 - August 2025, Oak Ridge, TN
Summary: Graduate Research Opportunity (GRO) internship at Oak Ridge National Laboratory (ORNL). I work with the HydraGNN group on graph neural networks for materials science, developing surrogate models for mechanical property prediction and uncertainty-aware, multi-task learning across heterogeneous microstructures.
Mentor: Massimiliano Lupo Pasini, Computational Sciences and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD), Oak Ridge National Laboratory
Focus areas:
- Graph neural networks for composite and polycrystalline materials
- Multi-task learning for elastic-plastic response and fatigue indicators
- Uncertainty quantification and calibration
- ML-accelerated structure–property prediction at scale on HPC systems
Selected outputs:
- Caliskan, Erdem, Reza Abedi, and Massimiliano Lupo Pasini. “Graph Neural Networks for Mechanical Property Prediction of 2D Fiber Composites.” Materials & Design (2025): 114500. Publication link
- Caliskan, Erdem*, Anik Das Anto, Reza Abedi, and Massimiliano Lupo Pasini. “Probabilistic Multi‑Task Graph Neural Network Surrogates for Elastic‑Plastic Behavior and Fatigue Indicator Prediction in Polycrystalline Alloys.” (accepted) SES Annual Technical Meeting, October 12-15, 2025.
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