Publications

Stapp, A.M. (2022). Generation and Application of NCF Data Network Layers for Risk Analysis via Functional Decomposition [Conference Presentation]. 10.2172/2003360

Villa, D.L., Quiroz, J.E., Flicker, J.D., Jones, C.B., & Pavich, F. (2022). Paper Session 9: Low Cost Community Micro-Grids By Efficiency and Reduced Availability (TO-22-C074) [Conference Presentation]. 10.2172/2003228

Dechant, L., Wagnild, R.M., Lynch, K.P., Kearney, S.P., & Wagner, J.L. (2022). High Enthalpy Differential Equation-Based Estimates for Spherical/Cylindrical Forebody Shock Stand-off Distance [Conference Paper]. 10.2514/6.2023-1612

Dosanjh, M.G., Marts, W.P., Ciesko, J., & Prichard, H. (2022). How To Leverage New MPI Features for Exascale Applications [Conference Presentation]. 10.2172/2003132

Chandler, G.A., Ruiz, C., Cooper, G., Torres, J., Mangan, M.A., Whitlow, G.M., Ampleford, D.J., Jones, M., Buckles, R., Moy, K., Garza, I., Staska, M., Wolverton, A., & Davis, B. (2022). Neutron time-of-flight detectors used at Sandia's Z-Machine [Conference Poster]. https://doi.org/10.2172/2003082

Sharpe, A.L., Kamat, R., Zaborski, G., Hu, J., Pendhakar, M., Watanabe, K., Taniguchi, T., Kastner, M., & Heinz, T. (2022). Controlling graphene-hBN rotational alignment [Conference Presentation]. 10.2172/2003122

Younge, A.J. (2022). Building and Running HPC Containers across the US Department of Energy [Conference Presentation]. 10.2172/2003397

Eugenio, E.C. (2022). Federated Learning and Differential Privacy: What might AI-Enhanced co-design of microelectronics learn?. 10.2172/1868417

Jakeman, J.D., Kouri, D.P., & Huerta, J.G. (2022). Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. Reliability Engineering and System Safety, 221. 10.1016/j.ress.2021.108280

Goodman, E., & Salaudeen, O. (2022). On Multiclass Independent Optimal Thresholding for Contraband Classification [Conference Paper]. https://www.osti.gov/biblio/2003157

Boman, E.G. (2022). Exagraph: Partitioning and coloring [Conference Presentation]. 10.2172/2003118

Smith, J.D. (2022). Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling [Conference Presentation]. 10.2172/2003120

Bao, J., Yoon, H., & Lee, J.H. (2022). CO2 Storage Site Characterization using Deep Generative Models [Conference Poster]. 10.2172/2003223

Sherlock, N., Neuman, E.W., & Diantonio, C. (2022). Manufacturing of Ferroelectric Material Under a Quality Management System [Conference Presentation]. 10.2172/2003067

Bartlett, R. (2022). A new CMake Scripting Language? [Conference Presentation]. 10.2172/2003320

Price, P.M., Hattar, K., Treadwell, L.J., & Boyle, T. (2022). In-situ Laser Modification and Characterization of Materials in the TEM [Conference Poster]. https://www.osti.gov/biblio/2002941

Neal, K.D., Foulk, J.W., Lance, B., Rider, W.J., Barone, M.F., & Balakrishnan, U. (2022). Data Credibility in Scientific Machine Learning [Conference Presentation]. 10.2172/2003318

Ohta, T., Boehm, A.M., Spataru, C.D., Thurmer, K., Sugar, J.D., Thomas, C.J., Fonseca, J.J., & Robinson, J.T. (2022). Electronic Structure, Stacking Arrangement, and the Interaction Strength of Tungsten Disulfide at the Gold Contact [Conference Presentation]. 10.2172/2003139

Nedunuri, S., & Smith, D. (2022). Inferring Environment Assumptions in Model Refinement [Conference Presentation]. 10.2172/2002996

Banga, D.O., Chames, J.M., Yee, J.K., & Jankowski, A.F. (2022). Electrical-Discharge-Machining Contamination Removal from Metal Additively Manufactured Components. 10.2172/1871371

Soriano, B.S., Shimizu, Y., Rieth, M., Echeckki, T., Chen, J.H., & Khalil, M. (2022). Coupling of NovelProbabilistic Transfer Learning Strategies and Autoencoders to Expedite Turbulent Combustion Modeling [Conference Presentation]. 10.2172/2003084

Hart, D., Zeitler, T., & Sobolik, S. (2022). Available Drawdowns for Each Oil Storage Cavern in the Strategic Petroleum Reserve (2022 Annual Report). 10.2172/1870557

Modine, N.A., Fiedler, L., Vogel, D.J., Thompson, A.P., Ellis, A., Stephens, J.A., Popoola, G., Cangi, A., & Rajamanickam, S. (2022). A machine learning surrogate for density functional theory based on the local density of state [Conference Presentation]. 10.2172/2003393

Warne, L.K., & Johnson, W.A. (2022). Narrow Slot Gasket Grooves And Step Changes In Width. 10.2172/1868015

Massey, C.E., Saldana, C.J., & Moore, D.G. (2022). Understanding the role of segmentation on process-structure–property predictions made via machine learning. International Journal of Advanced Manufacturing Technology, 120(5-6), pp. 4011-4021. 10.1007/s00170-022-09003-8