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Kapilavai, D., Roychowdhury, S., Fu, Y., Yu, L., van Bloemen Waanders, B.G., & van Bloemen Waanders, B.G. (2021). Trajectory Planning for Aerospace Vehicles using Deep Reinforcement Learning [Conference Paper]. https://www.osti.gov/biblio/1871420

Hartland, T., Stadler, G., Perego, M., Liegeois, K., Petra, N., & Petra, N. (2021). Hierarchical off-diagonal Hessian approximation for Bayesian inverse problems with application to the flow of the Greenland ice sheet [Conference Presenation]. https://doi.org/10.2172/1873285

Schultz, P.A., Hjalmarson, H.P., Berg, M., Bussmann, E., Scrymgeour, D., Ohta, T., Moore, C.H., & Moore, C.H. (2021). First-principles calculations of metal surfaces. II. Properties of low-index platinum surfaces toward understanding electron emission. Physical Review B, 103(19). https://doi.org/10.1103/physrevb.103.195427

Adams, B.M., Bohnhoff, W.J., Dalbey, K.R., Ebeida, M.S., Eddy, J.P., Eldred, M.S., Hooper, R.W., Hough, P.D., Hu, K.T., Jakeman, J.D., Khalil, M., Maupin, K.A., Monschke, J.A., Ridgway, E.M., Rushdi, A.A., Seidl, D.T., Stephens, J.A., Winokur, J.G., & Winokur, J.G. (2021). Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis (V.6.14) (User's Manual). https://doi.org/10.2172/1784844

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

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

Tranchida, J., Nikolov, S.V., Wood, M.A., Cangi, A., Desjarlais, M.P., Thompson, A.P., & Thompson, A.P. (2021). Data-Driven Magneto-Elastic Predictions with Scalable Classical Spin-Lattice Dynamics [Presentation]. https://www.osti.gov/biblio/1870099

Tarman, T.D., Swiler, L.P., Cruz, G.J., Vugrin, E., Rollins, T., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., Davis, K., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Paper]. https://doi.org/10.1145/3474718.3474725

Qin, E., Jeong, G., Won, W., Kao, S.C., Kwon, H., Das, D., Moon, G.E., Rajamanickam, S., Krishna, T., & Krishna, T. (2021). Extending sparse tensor accelerators to support multiple compression formats [Conference Paper]. Proceedings - 2021 IEEE 35th International Parallel and Distributed Processing Symposium, IPDPS 2021. https://doi.org/10.1109/IPDPS49936.2021.00110

Safta, C., Diaz-Ibarra, O.H., Kim, K., Najm, H.N., & Najm, H.N. (2021). TChem ? An Open Source Computational Chemistry Software Library for Heterogeneous Computing Platforms [Conference Presenation]. https://doi.org/10.2172/1881665

Rodgers, T., Abdeljawad, F., Moser, D.R., Bachman, W.B., Carroll, J.D., Jared, B.H., Bolintineanu, D.S., Mitchell, J.A., Madison, J., & Madison, J. (2021). Simulation of powder bed metal additive manufacturing microstructures with coupled finite difference-Monte Carlo method. Additive Manufacturing, 41. https://doi.org/10.1016/j.addma.2021.101953

Kramer, S., Bolintineanu, D.S., Long, K., Hamel, C., Frankel, A., Jones, R.E., Bachman, W.B., Swiler, L.P., Johnson, K.L., & Johnson, K.L. (2021). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories [Conference Presenation]. https://doi.org/10.2172/1867564

Schultz, P.A., van Ginhoven, R.M., Edwards, A.H., & Edwards, A.H. (2021). Theory for intrinsic point defects in 3C-SiC reassessed using converged large-supercell calculations [Conference Presenation]. https://doi.org/10.2172/1869761

Bachman, W.B., Maniaci, D.C., Geraci, G., Seidl, D.T., Herges, T., Brown, K.A., Cutler, J.J., & Cutler, J.J. (2021). Application of Multifidelity Uncertainty Quantification Towards Multi-turbine Interaction and Wake Characterization [Conference Presenation]. https://doi.org/10.2172/1870979

Bielich, D.R.W., Langou, J., Thomas, S., Swirydowicz, K., Yamazaki, I., Boman, E.G., & Boman, E.G. (2021). One-Synch CGS2 Algorithm in the Context of QR and Arnoldi (DCGS2) [Conference Presenation]. https://doi.org/10.2172/1869377

Halappanavar, M., Acer, S., Boman, E.G., Buluc, A., Ekanayate, S., Feerdous, S., Gawande, N., Ghosh, S., Khan, A., Minotoli, M., Pothen, A., Rajamanickam, S., Selvitopi, O., Tallent, N., Tumeo, A., & Tumeo, A. (2021). Exagraph: Combinatorial Methods for Enabling Exascale Science [Presentation]. https://www.osti.gov/biblio/1870360

Reese, W., Hart, J.L., van Bloemen Waanders, B.G., Perergo, M., Jakeman, J.D., Saibaba, A., & Saibaba, A. (2021). Bedrock Inversion and Hyper Differential Sensitivity Analysis for the Shallow Ice Model [Presentation]. https://www.osti.gov/biblio/1889590

Cannon, M.J., Rodrigues, A., Black, D.A., Black, J., Bustamante, L., Feinberg, B., Quinn, H.M., Clark, L.T., Brunhaver, J.S., Barnaby, H., McLain, M., Agarwal, S., Marinella, M., & Marinella, M. (2021). Multiscale System Modeling of Single-Event-Induced Faults in Advanced Node Processors. IEEE Transactions on Nuclear Science, 68(5), pp. 980-990. https://doi.org/10.1109/tns.2021.3071653

Descour, M., Tsao, J.Y., Stracuzzi, D.J., Wakeland, A., Schultz, D., Smith, W., Weeks, J., & Weeks, J. (2021). AI-Enhanced Co-Design for Next-Generation Microelectronics: Innovating Innovation (Workshop Report). https://doi.org/10.2172/1845383

Raybourn, E.M., Moulton, J.D., Rogers, D.M., Sims, B., Willenbring, J.M., Gonsiorowski, E., Milewicz, R.M., Watson, G., & Watson, G. (2021). ECP Virtual Organization: A Team of Teams? [Presentation]. https://www.osti.gov/biblio/1863712

Results 601–700 of 9,998
Results 601–700 of 9,998