Publications

de Zapiain, D.M., Noell, P., Katona, R.M., Maestas, D., Roop, M., & Roop, M. (2024). An active learning framework for the rapid assessment of galvanic corrosion. npj Materials Degradation, 8(1). 10.1038/s41529-024-00476-4

Lim, H., Noell, P., Polonsky, A.T., Emery, J.M., Johnson, K.L., & Johnson, K.L. (2024). Investigating evolution of voids in Al2219 using 3D characterization and crystal plasticity simulations [Presentation]. 10.2172/2586088

de Zapiain, D.M., Venkatraman, A., Maestas, D., Melia, M.A., Noell, P., Katona, R.M., & Katona, R.M. (2024). Integrating Machine Learning into the Computational Calculations of Galvanic Corrosion [Presentation]. 10.2172/2586307

Polonsky, A.T., Johnson, K.L., Massey, C.E., Huynh, N.U., Griego, J.J.M., Noell, P., Heckman, N.M., Ivanoff, T., & Ivanoff, T. (2024). Leveraging 3D Characterization for Mechanical Modeling of Failure in AM Metals [Presentation]. 10.2172/2585199

Adamczyk, J.M., Choi, H., Hernandez-Sanchez, B.A., Koss, E.K., Noell, P., Spiak, S.R., Pucket, R.V., Escarcega-Herrera, K., Love, A.S., Karasz, E., Neary, V.S., Melia, M.A., Heiden, M.J., & Heiden, M.J. (2024). Wire arc additive manufactured A36 steel performance for marine renewable energy systems. International Journal of Advanced Manufacturing Technology, 132(9-10), pp. 4677-4688. https://doi.org/10.1007/s00170-024-13585-w

Noell, P. (2024). Zeiss user meeting [Conference Presentation]. 10.2172/2585144

de Zapiain, D.M., Katona, R.M., Roop, M., Noell, P., Maestas, D., & Maestas, D. (2024). Active learning protocols integrate corrosion experiments and simulations & accelerate predictions [Conference Poster]. 10.2172/2563948

Katona, R.M., Venkatraman, A., Roop, M., Noell, P., Melia, M.A., de Zapiain, D.M., Schaller, R.F., & Schaller, R.F. (2024). Finite Element Modeling of Atmospheric Corrosion: Boundary Conditions, Model Fidelities, and Computational Advances with Machine Learning [Conference Presentation]. 10.2172/2563985

Noell, P., de Zapiain, D.M., Venkatraman, A., Wilson, M.A., Melia, M.A., Katona, R.M., Khan, R.M., Delrio, F.W., Kacher, J., Merrill, L.C., Stavila, V., Allendorf, M., Brown, N.K., & Brown, N.K. (2024). A&L Presentation [Conference Poster]. 10.2172/2563961

Fitzgerald, K.M., Carroll, J.D., Ruggles, T., Gilliland, W.G., Lim, H., Noell, P., & Noell, P. (2024). Microstructure Clones [Conference Presentation]. 10.2172/2584965

Noell, P., Boyce, B.L., Bolmin, O.M.E., Brown, N.K., Young, B., Karaman, I., Elsayeda, A., Garber, K.W., & Garber, K.W. (2024). TMS 2024 presentation [Conference Presentation]. 10.2172/2517909

Katona, R.M., Venkatraman, A., Roop, M., Maestas, D., Melia, M.A., Noell, P., Schaller, R.F., de Zapiain, D.M., & de Zapiain, D.M. (2024). Active Learning Framework and Probabilistic Exploration of Finite Element Method Corrosion Models [Conference Presentation]. 10.2172/2540357

Polonsky, A.T., Deitz, J.I., Lim, H., Noell, P., Melia, M.A., Johnson, K.L., Renner, P., Escarcega-Herrera, K., Jauregui, L., Cummings, D.P., & Cummings, D.P. (2024). Applications of 3D EBSD for understanding complex microstructures [Conference Presentation]. 10.2172/2585001

Young, B., Brown, N.K., Clark, B.W., Bolmin, O.M.E., Boyce, B.L., Noell, P., & Noell, P. (2024). Data-Driven Optimization of Interlocking Metasurface Design [Conference Presentation]. 10.2172/2564033

de Zapiain, D.M., Maestas, D., Roop, M., Noell, P., Melia, M.A., Katona, R.M., & Katona, R.M. (2024). Accelerating FEM-Based Corrosion Predictions Using Machine Learning. Journal of the Electrochemical Society, 171(1). https://doi.org/10.1149/1945-7111/ad1e3c

Johnson, K.L., Noell, P., Lim, H., Buarque de MacEdo, R., Maestas, D., Polonsky, A.T., Emery, J.M., Pant, A., Vaughan, M.W., Martinez, C., Potter, K.M., Solano, J., Foulk, J.W., & Foulk, J.W. (2023). Predicting Failure Using Deep Learning SAND Report. 10.2172/2430205

Ruggles, T., Gilliland, W.G., Noell, P., Craig, R.L., Fitzgerald, K.M., Carroll, J.D., Hochhalter, J., & Hochhalter, J. (2023). Local stress measurements in polycrystalline metallic tensile specimens using high resolution EBSD [Conference Presentation]. 10.2172/2430626

Noell, P., Boyce, B.L., Bolmin, O.M.E., Leathe, N.S., Brown, N.K., Young, B., Clark, B.W., Osterberg, J., Wallace, J.W., & Wallace, J.W. (2023). Interlocking metasurfaces [Conference Presentation]. 10.2172/2430639

Katona, R.M., Maestas, D., Roop, M., Schaller, R.F., Wilson, M.A., de Zapiain, D.M., Melia, M.A., Noell, P., & Noell, P. (2023). Modeling the Stochastic Nature of Corrosion Reactions in Atmospheric Conditions [Conference Presentation]. 10.2172/2430651

Alleman, C., Medlin, D.L., Noell, P., & Noell, P. (2023). The Micromechanics of Void Nucleation [Conference Presentation]. 10.2172/2430551

Noell, P., Polonsky, A.T., Pham, B., Johnson, K.L., Seede, R., Lim, H., Vaughan, M.W., & Vaughan, M.W. (2023). Damage evolution in Al alloys assessed via X-ray computed tomography and crystallographic orientation data [Conference Presentation]. 10.2172/2431713

Polonsky, A.T., Noell, P., Deitz, J.I., Lim, H., Emery, J.M., Johnson, K.L., & Johnson, K.L. (2023). Understanding Deformation Behavior in an Al Alloy via Multimodal 3D Characterization [Conference Presentation]. 10.2172/2431669

Brown, N.K., Young, B., Clark, B.W., Bolmin, O.M.E., Boyce, B.L., Noell, P., & Noell, P. (2023). Optimized Design of Interlocking Metasurfaces [Conference Poster]. 10.2172/2431748

de Zapiain, D.M., Maestas, D., Melia, M.A., Noell, P., Katona, R.M., & Katona, R.M. (2023). Leveraging Machine Learning to Increase Computational Efficiency in Electrochemical Systems: An Application to Galvanic Corrosion [Conference Presentation]. 10.2172/2540459

Bolmin, O.M.E., Young, B., Leathe, N.S., Noell, P., Boyce, B.L., & Boyce, B.L. (2023). Interlocking metasurfaces. Journal of Materials Science, 58(1), pp. 411-419. https://doi.org/10.1007/s10853-022-08015-9