Publications
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification. Integrating Materials and Manufacturing Innovation. :1-12.
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2023. Multi-modal Dataset of a Polycrystalline Metallic Material: 3D Microstructure and Deformation Fields. Scientific Data. 9
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2022. On the origins of fatigue strength in crystalline metallic materials. Science. 377:1065-1071.
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2022. Damage mechanism identification in composites via machine learning and acoustic emission. npj Computational Materials. 7:95.
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2021. Interpreting acoustic energy emission in SiC/SiC minicomposites through modeling of fracture surface areas. Journal of the European Ceramic Society.
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2021. A machine learning framework for damage mechanism identification from acoustic emissions in unidirectional SiC/SiC composites. npj Computational Materials. 7
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2021. Microscale Characterization of Damage Accumulation in CMCs. Journal of the European Ceramic Society. 41:3082-3093.
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2021. .
2021. Rejuvenation of Directionally Solidified and Single-Crystal Nickel-Base Superalloys. Metallurgical and Materials Transactions A. 52
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2021.