Publications

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2023
Muir C., Swaminathan B., Musaffar A, McCarthy N.R., Almansour A, Pollock T.m., Kiser J.D., Smith C., Daly S., Sevener K.  2023.  In situ crack opening displacement growth rates of SiC/SiC ceramic matrix minicomposites. Journal of the European Ceramic Society. 43
Raeker E, Pusch K, Forsik S, Zhou N, Dicus A, Ren Q-Q, Poplawsky J, Kirka M., Pollock T.  2023.  Minor Elements and Solidification Cracking During Laser Powder-Bed Fusion of a High γ′ CoNi-Base Superalloy. Metallurgical and Materials Transactions. 54:1-14.
Rossin J, Leser P, Benzing J, Torbet C, Dillon R, Smith S, Daly S, Pollock T.  2023.  Nondestructive quantification of single crystal elasticity for additively manufactured SB-CoNi-10C, IN625, and Ti64. NDT & E International. 135:102803.
Rossin J, Leser P, Benzing J, Torbet C, Dillon R, Smith S, Daly S, Pollock T.  2023.  Nondestructive quantification of single crystal elasticity for additively manufactured SB-CoNi-10C, IN625, and Ti64. NDT & E International. 135:102803.
Brodnik N, Carton S, Muir C, Ghosh S, Downey D, Echlin M, Pollock T, Daly S.  2023.  Perspective: Large Language Models in Applied Mechanics. Journal of Applied Mechanics. 90:1-12.
Brodnik N, Carton S, Muir C, Ghosh S, Downey D, Echlin M, Pollock T, Daly S.  2023.  Perspective: Large Language Models in Applied Mechanics. Journal of Applied Mechanics. 90:1-12.
Brodnik N.R., Muir C., Tulshibagwale N., Rossin J., Echlin M.P., Hamel C.M., Kramer S.L.B., Pollock T.m., Kiser J.D., Smith C. et al..  2023.  Perspective: Machine learning in experimental solid mechanics. Journal of the Mechanics and Physics of Solids. 173:105231.
Muir C., Tulshibagwale N., Furst A., Swaminathan B., Almansour A, Sevener K, Presby M, Kiser J., Pollock T., Daly S. et al..  2023.  Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification. Integrating Materials and Manufacturing Innovation. :1-12.
Jangid D, Brodnik N, Echlin M, Daly S, Pollock T, Manjunath B..  2023.  Titanium 3D Microstructure for Physics-based Generative Models: A Dataset and Primer.

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