Publications

Beste, A., Bufford, D.C., Bolintineanu, D.S., & Potter, K.M. (2024). Scoring Morphological Change in Computed Tomography Images of Pentaerythritol Tetranitrate (PETN) [Presentation]. 10.2172/2585992

Wheeler, L.B., Zeitler, T., Brunell, S.B., Lien, J.M., Shand, L., Wagman, B.M., Roesler, E.L., Martinez, C., & Potter, K.M. (2023). Performance assessment for climate intervention (PACI): preliminary application to a stratospheric aerosol injection scenario. Frontiers in Environmental Science, 11(1205515). https://doi.org/10.3389/fenvs.2023.1205515

Kittell, D.E., Specht, P.E., Potter, K.M., Abere, M.J., & Adams, D.P. (2023). Mesoscale Modeling of Shock Waves and Intermetallic Reactions in Ni/Al Multilayer Thin Films with Explicit Non-Ideal Interfaces [Conference Presentation]. 10.2172/2480236

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. (2023). Predicting Failure Using Deep Learning SAND Report. 10.2172/2430205

Wheeler, L.B., Zeitler, T., Brunell, S.B., Lien, J.M., Wagman, B.M., Potter, K.M., Martinez, C., Roesler, E.L., & Shand, L. (2023). PACI: Performance Assessment for Climate Intervention [Conference Poster]. 10.2172/2431629

Roberts, S.A., Anderson, N., Arienti, M., Armijo, K.M., Blonigan, P.J., Casper, K.M., Collins, L.N., Creveling, P.J., Delgado, P.M., di Stefano, M., Engerer, J.D., Fisher, T.C., Foster, C.W., Gosma, M., Hansen, M.A., Hernandez-Sanchez, B.A., Hess, R., Kieweg, S., Lynch, K.P., … Wagnild, R.M. (2022). Overview of Ablation Research at Sandia National Laboratories [Conference Presentation]. 10.2172/2005989

Potter, K.M., Garland, A., Jones, J.E., Pant, A., & Famili, S. (2022). Automatic Detection of Defects in High-Reliability Components. 10.2172/1890067

Wheeler, L.B., Zeitler, T., Brunell, S.B., Martinez, C., Potter, K.M., Wagman, B.M., Roesler, E.L., Shand, L., & Lien, J.M. (2022). PACI: PerformanceAssessmentfor Climate Intervention [Conference Poster]. 10.2172/2003653

Potter, K.M., & Garland, A. (2021). Automatic detection of defects in high reliability as-built parts using X-ray CT [Conference Presentation]. 10.2172/2001508

Roberts, S.A., Donohoe, B.D., Martinez, C., Krygier, M., Hernandez-Sanchez, B.A., Foster, C.W., Collins, L.N., Greene, B., Noble, D.R., Norris, C., Potter, K.M., Roberts, C., Neal, K.D., Bernard, S.R., Schroeder, B.B., Trembacki, B., Labonte, T., Sharma, K., Ganter, T., … Smith, M.D. (2021). Credible, Automated Meshing of Images (CAMI) [Presentation]. https://www.osti.gov/biblio/1900115

Potter, K.M., Sleder, S.R., Smith, M., & Tencer, J.T. (2021). Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data [Conference Paper]. https://www.osti.gov/biblio/1856312

Tencer, J.T., & Potter, K.M. (2021). A tailored convolutional neural network for nonlinear manifold learning of computational physics data using unstructured spatial discretizations. SIAM Journal on Scientific Computing, 43(4). 10.1137/20m1344263

Potter, K.M., Smith, M., Perera, S., Sleder, S.R., & Tencer, J.T. (2021). Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks [Conference Presentation]. Proceedings of the IEEE International Conference on Computer Vision. 10.2172/1890385

Potter, K.M., Sleder, S.R., Smith, M., & Tencer, J.T. (2020). Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data [Conference Paper]. https://www.osti.gov/biblio/1824270

Martinez, C., Bolintineanu, D.S., Olson, A., Rodgers, T.M., Donohoe, B.D., Potter, K.M., Roberts, S.A., & Moore, N.W. (2020). Automated Segmentation of Porous Thermal Spray Material CT Scans with Geometric Uncertainty Estimation. 10.2172/1660793

Donohoe, B.D., Greene, B., Pribisova, A.L., Donahue, E., & Potter, K.M. (2020). Automatic detection of defects in high reliability as-built parts using X-ray CT [Conference Poster]. https://www.osti.gov/biblio/1814416

Tencer, J.T., & Potter, K.M. (2020). Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data [Conference Poster]. https://www.osti.gov/biblio/1808651

Martinez, C., Potter, K.M., & Roberts, S.A. (2020). Deep Learning for Characterization of Geometric Uncertainty [Presentation]. https://www.osti.gov/biblio/1812155

Potter, K.M., Donohoe, B.D., Greene, B., Pribisova, A.L., & Donahue, E. (2020). Automatic detection of defects in high reliability as-built parts using x-ray CT [Conference Poster]. Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.2570459

Yeh, P.D., Wolf, K.T., Bowie, S., Martinez, C., Potter, K.M., Snider, C., Smith, M.D., Hensinger, D.M., & Korbin, J.P. (2019). Deep Learning the Advection in Eulerian Hydrocodes [Conference Poster]. https://www.osti.gov/biblio/1643585

Martinez, C., Korbin, J.P., Potter, K.M., Donahue, E., Gamet, J.D., & Smith, M.D. (2019). Investigating Machine Learning Based X-Ray Computed Tomography Reconstruction Methods to Enhance the Accuracy of CT Scans. 10.2172/1571551

Martinez, C., Najera-Flores, D.A., Brink, A.R., Potter, K.M., & Yeh, P.D. (2019). Modeling of Multi-Physics and Multi-Component Dynamics with Neural Networks [Conference Poster]. https://www.osti.gov/biblio/1641669

Donahue, E., Quach, T.T., Turner, C.D., Smith, M.D., Martinez, C., & Potter, K.M. (2019). Deep learning for automated defect detection in high-reliability electronic parts [Conference Poster]. 10.1117/12.2529584

Yeh, P.D., Potter, K.M., Martinez, C., Smith, M.D., Snider, C., Korbin, J.P., & Attaway, S. (2019). Predicting Fragment Aerodynamic Drag with Deep Learning [Presentation]. https://www.osti.gov/biblio/1807161

Donahue, E., Quach, T.T., Martinez, C., Potter, K.M., Smith, M., & Turner, C.D. (2019). Deep learning for automated defect detection in high-reliability electronic parts [Conference Poster]. 10.1117/12.2529584