Publications

Schultz, P.A. (2021). Modeling charged defects and defect levels in semiconductors and oxides with density functional theory ? an improved inside-out perspective [Presentation]. https://www.osti.gov/biblio/1869539

Ehrhart, B.D., Baird, A.R., Glover, A.M., & Lafleur, A. (2021). Increasing Federal Coordination for Oversight of Hydrogen Systems [Presentation]. https://www.osti.gov/biblio/1869540

Hansen, N. (2021). Ozone-initiated oxidation at extreme low-temperatures [Presentation]. https://www.osti.gov/biblio/1869541

Hadgu, T., Dewers, T., & Matteo, E.N. (2021). Developing Process Models and Refining Code Capabilities:Comparing COMSOL and PFLOTRAN [Presentation]. https://www.osti.gov/biblio/1869542

Hecht, E.S., & Ehrhart, B.D. (2021). Updated Justification for LH2 Exposure Distance Proposal [Presentation]. https://www.osti.gov/biblio/1869534

Nyre-Yu, M., Morris, E., Moss, B., Smutz, C., & Foulk, J.W. (2021). Considerations for Deploying xAI Tools in the Wild: Lessons Learned from xAI Deployment in a Cybersecurity Operations Setting [Conference Poster]. 10.2172/1869535

Punnoose, R.J. (2021). Ensuring completeness of formal verification with Gap Free Verification [Conference Presentation]. 10.2172/1869536

Portone, T. (2021). Fracture statistics and integration into computational models [Presentation]. https://www.osti.gov/biblio/1869537

Poliakoff, D., Hammond, S., & Lewis, C. (2021). Kokkos Tools for Productive Development [Presentation]. https://www.osti.gov/biblio/1869543

Shinde, S.D., Davis, R.W., & George, A. (2021). Biochemical Transformations for Superior Performance Biofuels [Presentation]. https://www.osti.gov/biblio/1869545

Collins, D.I., Braun, J.R., & Gates, J.M. (2021). Logger: A Tool for Keeping Track of Python's Interactions with the Shell [Conference Presentation]. 10.2172/1869546

Lamb, J., Shurtz, R.C., Torres-Castro, L., Hewson, J.C., & Preger, Y. (2021). Evaluating the impact of energy density on thermal runaway [Conference Presentation]. 10.2172/1869553

Silling, S., D'Elia, M., Yu, Y., You, H., & Fermen-Coker, M. (2021). Coarse-grained peridynamic model for graphene [Conference Presentation]. 10.2172/1869554

Brown, A.L., Shurtz, R.C., Takahashi, L.K., Kesterson, M., & Laurinat, J. (2021). A Computational Scenario Based Assessment of Hydrogen Isotope (3H) Fire Safety [Conference Presentation]. 10.2172/1869555

Kuhlman, K.L. (2021). Salt: Introduction Brine Availability Test in Salt (BATS) and Extended Plan [Presentation]. https://www.osti.gov/biblio/1869762

Baird, A.R., Gill, W., Mendoza, H., & Figueroa Faria, V.G. (2021). Correlating Incident Heat Flux and Source Temperature to Meet ASTME1529 Requirements for Ram Packaging Components Thermal Testing [Conference Presentation]. 10.2172/1869763

Kosson, D., Gruber, C., Taylor, A., Brown, K., Delapp, R., Brown, L., Ayers, J., Matteo, E.N., Jove-Colon, C.F., Mitchell, C.A.M., & Pyrak-Nolte, L. (2021). Estimating Long-term Performance of Cement-Rock Interfaces [Conference Presentation]. 10.2172/1869752

Matteo, E.N. (2021). Engineered Barrier Systems Research Overview [Presentation]. https://www.osti.gov/biblio/1869753

Sterk, J.D. (2021). Closed-loop optimization of ion shuttling [Presentation]. https://www.osti.gov/biblio/1869754

Alexander, F., Foster, I., Hagberg, A., Nugent, P., van Essen, B., Womble, D., Ang, J., & Wolf, M. (2021). ExaLearn: Co-Design Center for Exascale Machine Learning Technologies [Conference Poster]. https://doi.org/10.2172/1869755

Levy, S.L.N., & Ferreira, K. (2021). An Initial Examination of the Effect of Container Resource Constraints on Application Perturbation [Conference Presentation]. 10.2172/1869756

Frederick, J.M. (2021). The Fate of Submerged Permafrost and Its Sequestered Carbon: Marine Sources of Greenhouse Gases [Presentation]. https://www.osti.gov/biblio/1869757

Alexander, F., Foster, I., Sweeney, C., Nugent, P., van Essen, B., Seal, S., Ang, J., & Wolf, M. (2021). ExaLearn: Co-Design Center for Exascale Machine Learning Technologies [Conference Poster]. 10.2172/1869758

Russ, J.B. (2021). Topology Optimization for Ductile Failure and Buckling Resistance [Conference Presentation]. 10.2172/1869759

Berg, T.M., Mariner, P., Debusschere, B., Seidl, D.T., Leone, R.C., & Chang, K.W. (2021). Machine Learning Surrogates for the Fuel Matrix Degradation Model [Presentation]. https://www.osti.gov/biblio/1869760