Effect of machined feature size relative to the microstructural size on the superelastic performance in polycrystalline NiTi shape memory alloys
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2017-10
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Paul, Partha P, Harshad M Paranjape, Behnam Amin-Ahmadi, Aaron P Stebner, David C Dunand and L Catherine Brinson (2017). Effect of machined feature size relative to the microstructural size on the superelastic performance in polycrystalline NiTi shape memory alloys. Materials Science and Engineering: A, 706. 10.1016/j.msea.2017.09.016 Retrieved from https://hdl.handle.net/10161/16438.
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L. Catherine Brinson
The Brinson lab’s research objective is to characterize and model advanced materials systems, bridging across scales, to develop new understanding of material mechanisms and transfer knowledge into FAIR datasets towards novel material design. The research activities include nanoscale experimental investigations, especially using AFM methodologies, computational predictions of material behavior using finite element analysis and micro mechanics approaches, and application of AI methods including surrogate modeling, optimization, and natural language processing. Target material systems include multiphase polymer systems, nancomposites, bioplastics, metamaterials and 3d printing materials.
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