b'TALENT PIPELINE: PUBLICATIONS AND PRESENTATIONS:Matt DeJong, student at North CarolinaZhang, Y., et al. Learning constitutive relations of plasticity using neural networks State University and full-field data, Extreme Mechanics Letters, 2022. 52, 101645.Philip Alarcn-Furman, student at NorthWang, Y., Cinbiz, N., Beausoleil G. L., Murray, D. L., Frazer, D. M., Assessment of local Carolina State University deformation behavior in mesoscale tensile specimens via digital-image correlation, Qingjie Li, postdoc at MassachusettsThe Minerals, Metals, and Materials Society (TMS) 2022, Anaheim CA, USA.Institute of Technology Li, Q. et al. Robust Constitutive-Relation Learning with Artificial Neural Networks, Yachun Wang, postdoc at INL, convertedActa Materiala, 254. 2023.to staff DeJong, et al. Anisotropic Compressive Strength of Single-Crystal Zirconium Pillars and the Effects of Irradiation Hardening and Temperature Through Micropillar Mechanical Testing, TMS 2023.The graphical abstract of the project illustrating (a) Scanning electron microscopy digital image correlation testing, (b) transmission electron microscope micropillar tests, (c) plasticity modeling of mechanical tests, and (d) machine learning results predicting constitutive relationships.35'