Publications
Acquisition of 3D Data for Prediction of Monotonic and Cyclic Properties of Superalloys. Integrated Computational Materials Engineering (ICME): Advancing Computational and Experimental Methods. :1–18.
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2020. Multi-scale Microstructure and Property-Based Statistically Equivalent RVEs for Modeling Nickel-Based Superalloys. Integrated Computational Materials Engineering (ICME): Advancing Computational and Experimental Methods. :55–90.
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2020. Multi-scale Microstructure and Property-Based Statistically Equivalent RVEs for Modeling Nickel-Based Superalloys. Integrated Computational Materials Engineering (ICME): Advancing Computational and Experimental Methods. :55–90.
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2020. A Data-Driven Bayesian Model for Predicting Fatigue Crack Nucleation in Polycrystalline Ni-Based Superalloys. SSRN Electronic Journal.
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2021. Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys. npj Computational Materials. 8
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2022. Microstructure and Property-Based Statistically Equivalent Representative Volume Elements for Polycrystalline Ni-Based Superalloys Containing Annealing Twins. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. 49:5727–5744.
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2018.