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Oldfield, R., Kramer, S.L.B., Rushdi, A., Foulk, J.W., Emery, J.M., Kuberry, P., Ray, J., Ackerman, S., Cyr, E.C., Saavedra, G., Hughes, C., Cardwell, S.G., Smith, J.D., & Smith, J.D. (2021). The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans [Presentation]. https://www.osti.gov/biblio/1895016

Johnson, K.L., Maestas, D., Noell, P., Lim, H., Emery, J.M., Smith, M., Martinez, C., Davis, W.L., & Davis, W.L. (2021). Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning [Conference Presentation]. 10.2172/1882109

Bishop, J.E., Emery, J.M., Battaile, C.C., Littlewood, D.J., Baines, A.J., & Baines, A.J. (2016). Direct Numerical Simulations in Solid Mechanics for Quantifying the Macroscale Effects of Microstructure and Material Model-Form Error. JOM, 68(5), pp. 1427-1445. 10.1007/s11837-016-1857-6

Battaile, C.C., Mota, A., Lim, H., Littlewood, D.J., Veilleux, M.G., Emery, J.M., Ostien, J.T., Tezaur, I.K., & Tezaur, I.K. (2015). Developing strong concurrent multiphysics multiscale coupling to understand the impact of microstructural mechanisms on the structural scale [Presentation]. https://www.osti.gov/biblio/1514340

Foulk, J.W., Mota, A., Veilleux, M.G., Emery, J.M., Hansen, G., Salinger, A.G., & Salinger, A.G. (2014). Progress in Adaptive Computational Mechanics Applications Using the Albany AgileComponents Framework [Conference]. https://www.osti.gov/biblio/1140297

Boyce, B.L., Foulk, J.W., Littlewood, D.J., Mota, A., Ostien, J.T., Silling, S., Spencer, B.W., Wellman, G.W., Bishop, J.E., Brown, A., Cordova, T.E., Cox, J., Crenshaw, T.B., Dion, K., Emery, J.M., & Emery, J.M. (2011). Ductile failure X-prize. 10.2172/1029764

6 Results
6 Results