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Garland, A., Cillessen, D., Fitzgerald, K.M., Johnson, K.L., Boyce, B.L., Carroll, J.D., & Carroll, J.D. (2023). PRISM: Process Parameter Optimization for Selective Manufacturing [Conference Presenation]. https://doi.org/10.2172/2430729

Mersch, J.P., Parish, E.J., Shelton, T.R., Lindsay, P., & Lindsay, P. (2023). Machine-Learned Surrogate Models for Threaded Fasteners and their Application in Solid Mechanics Finite Element Analysis [Conference Presenation]. https://doi.org/10.2172/2430615

Jones, M.A., Delplanque, J., Moser, D.R., Rodgers, T., Weston, B., & Weston, B. (2023). Analyzing and Tuning a Fast Machine Learning Based Surrogate Microstructure Model for LPBF [Conference Poster]. https://doi.org/10.2172/2430670

Medina, B.M., Grua, P., Cartwright, K.L., Hebert, D., Szalek, N., Caizergues, C., Owens, I., Rhoades, E., Gardelle, J., Moore, C.H., & Moore, C.H. (2023). Verification and benchmarking relativistic electron beam transport through a background gas. Computer Physics Communications, 288. https://doi.org/10.1016/j.cpc.2023.108721

Owen, S.J., Carbajal, A.J., Peterson, M.G., Ernst, C.D., & Ernst, C.D. (2023). Accelerating Thin Volume Reduction with Supervised Learning and Multi-Agent Reinforcement Learning [Conference Presenation]. https://doi.org/10.2172/2430669

Westphal, E.R., Plackowski, K.M., White, S.L., Corbin, W.C., Ghosh, K., Grey, J.K., & Grey, J.K. (2023). New Molecular Recognition-Based Nanoscale Sensor Platforms for Trace-Level Threat Detection [Conference Poster]. https://doi.org/10.2172/2430769

Winters, C., mc Jones, E., Hansen, L.E., Huertas, N.A., & Huertas, N.A. (2023). Flexible Polymer-based Luminescent Ink Development & Characterization for Surface Temperature Measurements [Conference Presenation]. https://doi.org/10.2172/2430650

Jones, J.L., Wilson, A.T., Gooding, R.L., Whetzel, J.H., Dalbey, K., Delayo, D.R., Sharan, N., & Sharan, N. (2023). Behavioral Segmentation and clustering of Geospatial Trajectories [Conference Presenation]. https://doi.org/10.2172/2430743

Debusschere, B.J., Curry, C.J., Seidl, D.T., Chang, K.W., Mariner, P.E., & Mariner, P.E. (2023). Machine Learning Surrogates for Fuel Degradation Processes in Nuclear Waste Repository Simulations [Conference Presenation]. https://doi.org/10.2172/2430768

Lane, J.M.D., Cochrane, K.R., Davis, J.P., Clark, A.N., Vogler, T.J., & Vogler, T.J. (2023). Molecular Dynamics to Explore the Role of Temperature, Water, and Porosity in Dynamic Shock Compression of SiO2 [Conference Presenation]. https://doi.org/10.2172/2430688

Ching, D.S., Keedy, R.M., Tencer, J.T., Pautz, S.D., Adams, B.M., & Adams, B.M. (2023). Projection-based Reduced Order Modeling for Multi-level Monte Carlo Uncertainty Quantification Studies [Conference Presenation]. https://doi.org/10.2172/2430599

Banerjee, S., Young, J.M., Gao, X., Musson, L.C., Buchheit, T.E., Barnaby, H.J., Ho, L.T.T., & Ho, L.T.T. (2023). Neutron Displacement Damage in Bipolar Junction Transistors Isolated from an Integrated Circuit [Conference Presenation]. https://doi.org/10.2172/2430601

Mitchell, J.A., Abdeljawad, F., Battaile, C., Garcia-Cardona, C., Holm, E.A., Homer, E.R., Madison, J., Rodgers, T., Thompson, A.P., Tikare, V., Webb, E., Plimpton, S.J., & Plimpton, S.J. (2023). Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing. Modelling and Simulation in Materials Science and Engineering, 31(5). https://doi.org/10.1088/1361-651x/accc4b

Nataraj, C.M., Stershic, A.J., & Stershic, A.J. (2023). Working towards a modular, fully-coupled phase field fracture model integrating elasticity, plasticity, and damage [Conference Presenation]. https://doi.org/10.2172/2430523

Mussoni, E.E., Wagnild, R.M., Lynch, K.P., Bachman, W.B., Delplanque, J., & Delplanque, J. (2023). Validation Framework for Air/Carbon Gas-Surface Interaction Models for Reentry Environment Using Dakota [Conference Presenation]. https://doi.org/10.2172/2430581

Bahr-Mueller, J.N., Sargsyan, K., Najm, H.N., & Najm, H.N. (2023). Joint PCE Surrogate Construction with Uncertainty Quantification for Parameterized Stochastic Processes [Conference Presenation]. https://doi.org/10.2172/2430772

Aragon, N.K., Rezwan, A.A., Lim, H., & Lim, H. (2023). Predicting plastic deformation and failure of Al-6061 with inhomogeneities using FEM techniques across different length scales [Conference Presenation]. https://doi.org/10.2172/2430575

Mundy, T., Rose, C.E., Bland, S., Chittenden, J., Suttle, L., Halliday, J., Russel, D., Marrow, K., Lebedev, S., & Lebedev, S. (2023). Power Flow Studies with the Hairpin Experiment [Conference Proceeding]. https://www.osti.gov/biblio/2430837

Kononov, A., Hentschel, T.W., Hansen, S.B., Baczewski, A.D., & Baczewski, A.D. (2023). Computing stopping powers from first-principles using time-dependent density functional theory [Conference Presenation]. https://doi.org/10.2172/2430530

Bruno, S.W., Carlson, P.E., & Carlson, P.E. (2023). Podman vs Docker comparison via R Shiny project deployment [Conference Proceeding]. Proceedings of the 2023 Improving Scientific Software Conference. https://www.osti.gov/biblio/2463094

McCormick, C., Aquino, W., Sanders, C., Desmond, J., Walsh, T., Swift, S.H., & Swift, S.H. (2023). Using Adaptive Support Vector Machines to Predict Cross-Barrier Communication Disruption [Conference Presenation]. https://doi.org/10.2172/2430618

Smith, M.A., Darling, M.C., & Darling, M.C. (2023). Machine Learning and Autonomous Decision Making for National Security: Designing Decision Rules using Multiobjective Optimization [Conference Presenation]. https://doi.org/10.2172/2430760

Emery, J., Buche, M.R., Su, A.M., Alleman, C., Bomarito, G., Hochhalter, J.D., & Hochhalter, J.D. (2023). Genetic programming for interpretable, data-driven continuum damage models [Conference Presenation]. https://doi.org/10.2172/2430528

Forte, C.T., Montgomery, S.M., Yue, L., Hamel, C., Qi, H.J., & Qi, H.J. (2023). Grayscale Digital Light Processing Gradient Printing for Stress Concentration Reduction and Material Toughness Enhancement. Journal of Applied Mechanics, Transactions ASME, 90(7). https://doi.org/10.1115/1.4056966

Grillet, A.M., Kopatz, J.W., Reinholtz, W.D., Leonard, J.C., Tappan, A.S., Cook, A.W., & Cook, A.W. (2023). In Situ Process Monitoring of Direct Ink Write Material Extrusion Additive Manufacturing [Conference Presenation]. https://doi.org/10.2172/2430730

Cordaro, S.W., Yager-Elorriaga, D.A., Bachman, W.B., Stanek, L.J., Shipley, G.A., Fein, J.R., & Fein, J.R. (2023). Z-Target Radiography Postprocessing With A Six-Layer Convolution Neural Network [Conference Poster]. https://doi.org/10.2172/2430727

O'Connor, D.T., Peterson, K., Nikolov, S.V., Bolintineanu, D.S., Clemmer, J.T., Turner, A., & Turner, A. (2023). Discrete Element Modeling of Sea Ice Dynamics and Failure with a Damage-Based Cohesive Contact Law [Conference Presenation]. https://doi.org/10.2172/2430611

Brown, J.A., Beckwith, F., Wolf, K.T., Cooper, M.A., Vignes, C., Long, K., & Long, K. (2023). The Role of Pressure-Dependent Viscoplasticity and Volumetric Dilatation in Energetic Materials at Intermediate Strain Rates [Conference Proceeding]. https://www.osti.gov/biblio/2432175

Horner, J.S., Bourdon, G.J., Kemmenoe, D.J., Roberts, S.A., Arata, E.R., Ray, J., Winter, I., Chandross, M., Grillet, A.M., & Grillet, A.M. (2023). Predicting and Mitigating Runout in Active Braze Processes [Conference Presenation]. https://doi.org/10.2172/2430545

Gunda, T., Jackson, N.D., Ferencz, S., & Ferencz, S. (2023). Machine Learning for Environmental Management: A Socio-ecological Framework for Studying Water Rights, Wildfires, and More [Conference Presenation]. https://doi.org/10.2172/2430584

Kopatz, J.W., Griebler, J.J., Cazares, A., Leonard, J.C., Tappan, A.S., Grillet, A.M., & Grillet, A.M. (2023). Accurate Rheological Characterization Of Highly-Filled Direct-Ink Write Pastes [Conference Presenation]. https://doi.org/10.2172/2430745

Walsh, T., McCormick, C., Smith, C., Sanders, C., Aquino, W., Kurzawski, A., Desmond, J., & Desmond, J. (2023). An Adaptive Classification Approach to Simulation-Assisted Decisions under Uncertainty [Conference Presenation]. https://doi.org/10.2172/2430586

King, M.P., Beutler, J., Smith, N.F., Meisenheimer, T.L., Mohan, P., Atli, A., Bachman, W.B., & Bachman, W.B. (2023). In-Situ Observation of Circuit Behavior Using Pump-Probe Laser Voltage Probe Technique [Conference Presenation]. https://doi.org/10.2172/2430684

Qatramez, A.E., Kurzawski, A., Hewson, J.C., Foti, D., Headley, A., & Headley, A. (2023). Estimation of Heat Flux From Gases Released During Thermal Runaway of Lithium-Ion Batteries [Conference Presenation]. https://doi.org/10.2172/2430758

Kuberry, P., Paskaleva, B.S., Buchheit, T.E., Davis, C.L., Glickman, M.R., & Glickman, M.R. (2023). Sandia Analysis Workbench (SAW) Workflow using Xyce-PyMi for Simulating Circuit-Level Response using Data-Driven Device Models [Conference Presenation]. https://doi.org/10.2172/2431096

Lowry, D.R., Bishop, S.R., Bachman, W.B., Park, J.E., Valdez, N.R., Bachman, W.B., Knudson, M.D., Boro, J.R., Sava Gallis, D.F., Harvey, J.A., & Harvey, J.A. (2023). High Entropy Ceramics: Compositionally Predicted Phase Stability and Mechanical Shock Induced Phase Transformations [Conference Presenation]. https://doi.org/10.2172/2430724

Stanek, L.J., Hansen, S.B., Jennings, C.A., Bachman, W.B., Townsend, J.P., Cochrane, K.R., Carpenter, J.H., & Carpenter, J.H. (2023). Shear viscosity and ionic thermal conductivity calculations from an average atom model [Conference Presenation]. https://doi.org/10.2172/2430592

Sugar, J.D., Vitale, S.M., Shivanna, M., Stavila, V., & Stavila, V. (2023). TEM Sample Preparation and Microstructural Characterization of Air Sensitive, 𝜇m-scale, Infiltrated MOF-Based Particles [Conference Presenation]. https://doi.org/10.2172/2430606

Brody, J.H., Moore, N.W., Erturk, A., Manogharan, P., & Manogharan, P. (2023). Excitation and Damage Behavior of Adhesively Bonded Thin Films under High-Intensity Focused Ultrasound [Conference Poster]. https://doi.org/10.2172/2430547

Ammari, B., Johnson, E.S., Stinchfield, G., Kim, T., Bynum, M., Hart, W.E., Pulsipher, J., Laird, C., & Laird, C. (2023). Optimization in Engineering with Embedded Linear Model Decision Trees [Conference Poster]. https://doi.org/10.2172/2430593

Results 901–1000 of 96,771
Results 901–1000 of 96,771