Publications

Clark, W.T. (2022). Closing the BESS Installation Code Gap [Conference Presentation]. 10.2172/2001749

Burt, N.I. (2022). Winter Symposium [Conference Presentation]. 10.2172/2001753

Giem, E., Morales, N., Teranishi, K., & Whitlock, M.J. (2022). Online Fault Tolerance with Kokkos Resilient Execution Spaces [Conference Presentation]. 10.2172/2001819

Price, L.L. (2022). International Approaches to Postclosure Criticality Safety - United States [Conference Paper]. 10.13182/T126-37448

Harper, G.B. (2022). A Matrix-Free Approach for Algebraic Multigrid [Conference Presentation]. 10.2172/2001806

Pattyn, C.A., Wright, J.B., Foulk, J.W., & Westlake, K. (2022). Development and Characterization of a Tabletop Fog Chamber [Presentation]. https://www.osti.gov/biblio/2001738

Hothem, D.G. (2022). Predicting circuit success rates with artificial neural networks [Conference Presentation]. 10.2172/2001893

Springstead, M.P., Lefevre, H., Nagayama, T., Loisel, G.P., Bailey, J.E., Klein, S., Mancini, R.C., Swanson, K., Winget, D.E., Dunlap, B.H., Davis, J., Kuranz, C.C., & Drake, R.P. (2022). Laboratory Generated Photoionization Fronts Relevant to Cosmology [Conference Poster]. 10.2172/2001750

Michalek, M., Moser, D.R., Rodgers, T.M., Lim, H., & Alleman, C. (2022). Model Based Control of Microstructure for Additively Manufactured 316L Steel [Conference Poster]. 10.2172/2001883

Parker, L., Chance, F.S., & Cardwell, S.G. (2022). Benchmarking a Bio-inspired SNN on a Neuromorphic System [Conference Proceeding]. 10.1145/3517343.3517365

Stick, D. (2022). Ring-shaped ion crystals & electric field control [Conference Presentation]. 10.2172/2001686

Rudinger, K.M., Campos, J., Morford-Oberst, M., Nielsen, E., Seritan, S.K., Metodi, T.S., & Blume-Kohout, R. (2022). Gate Set Tomography of a Logical Qubit [Conference Presentation]. 10.2172/2001890

Willenbring, J.M., & Shende, S. (2022). Impacting Software Quality and Process Through the Extreme-Scale Scientific Software Stack (E4S) and Software Development Kit (SDK) Projects [Conference Presentation]. 10.2172/2001751

Enos, D., & Wichhart, D. (2022). Refinement of Citric Acid Passivation Methods and Comparison to Traditional Nitric Acid Based Chemistries [Conference Presentation]. 10.2172/2001684

Monson, T., Stevens, T.E., Pearce, C.J., Hoyt, M.R., Vreeland, E., Delaney, R.E., Zheng, B., Belcher, C., Zhou, Y., & Lavernia, E. (2022). Iron nitride based soft magnets through spark plasma sintering [Conference Presentation]. 10.2172/2001748

Gelbard, F.M., Beeny, B.A., Humphries, L.L., Wagner, K.C., Poschmann, M., & Piro, M. (2022). Application of MELCOR for Simulating Molten Salt Reactor Accidents [Conference Presentation]. 10.2172/2001743

Wright, C., Moeglein, W.A., Bagchi, S., Kulkarni, M., & Clements, A. (2022). Challenges in Firmware Re-Hosting, Emulation, and Analysis. ACM Computing Surveys, 54(1). 10.1145/3423167

Rodgers, T.M., de Zapiain, D.M., Foulk, J.W., Murray, S.E., & Mahaffey, J.T. (2022). Mesoscale Simulation of Cold Spray Microstructure Formation [Conference Presentation]. 10.2172/2001897

Vackel, A., Peleg, E., Varga, J.J., Foulk, J.W., Schmidt, C., & Gildersleeve, E. (2022). Elastic measurements of plasma spray refractory metal coatings using thermal cycling of bi-layered beams [Conference Proceeding]. 10.31399/asm.cp.itsc2022p0736

Wood, M.A., Sievers, C., Perez, D., Lubbers, N., & Thompson, A.P. (2022). Scalable Solutions for Training Machine Learned Interatomic Potentials [Conference Presentation]. 10.2172/2001823

Barrick, E.J., Pucket, R.V., Whetten, S.R., Pegues, J.W., Melia, M.A., Dingreville, R., Rodriguez, S.B., & Kustas, A.B. (2022). Laser Beam Directed Energy Deposition Process Optimization for Refractory High Entropy Alloys (RHEAs) [Conference Presentation]. 10.2172/2001894

Foulk, J.W., Tranchida, J., Cusentino, M.A., Wood, M.A., & Thompson, A.P. (2022). Machine Learned Interatomic Potential Development for W-ZrC [Conference Presentation]. 10.2172/2001815

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., & Rajamanickam, S. (2022). Mixed Precision Strategies for GMRES [Conference Presentation]. 10.2172/2001827

Nenoff, T.M., Percival, S.J., Small, L.J., & Schindelholz, M.E. (2022). Embedded Nanoporous Sensors for the Electrical Detection of Degradation Products, FY22 [Presentation]. https://www.osti.gov/biblio/2002417

Nikolov, S.V., Tranchida, J., Thompson, A.P., & Wood, M.A. (2022). Data-driven Magnetic Materials Modeling; Advances in Classical Molecular Dynamics [Conference Presentation]. 10.2172/2001816