Hogle, C.W., Ivory, M.K., Lobser, D., Ruzic, B.P., Derose, C., & Derose, C. (2022). Three-Photon Optical Pumping for Trapped Ion Quantum Computing. 10.2172/1854752
Publications
Search results
Jump to search filtersGross, B.J., Kuberry, P., Atzberger, P.J., & Atzberger, P.J. (2022). First-passage time statistics on surfaces of general shape: Surface PDE solvers using Generalized Moving Least Squares (GMLS). Journal of Computational Physics, 453. 10.1016/j.jcp.2021.110932
Lutz, J.J., Byrd, J.N., Lotrich, V.F., Jensen, D.S., Zador, J., Hubbard, J.A., & Hubbard, J.A. (2022). A theoretical investigation of the hydrolysis of uranium hexafluoride: the initiation mechanism and vibrational spectroscopy. Physical Chemistry Chemical Physics, 24(16), pp. 9634-9647. 10.1039/d1cp05268c
Bussmann, E., Smith, S.W., Scrymgeour, D., Brumbach, M.T., Lu, P., Dickens, S.M., Michael, J.R., Ohta, T., Hjalmarson, H.P., Schultz, P.A., Clem, P., Hopkins, M.M., Moore, C., & Moore, C. (2022). Atomic step disorder on polycrystalline surfaces leads to spatially inhomogeneous work functions. Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films, 40(2). https://doi.org/10.1116/6.0001729
Campbell, Q., Baczewski, A.D., Butera, R.E., Misra, S., & Misra, S. (2022). Hole in one: Pathways to deterministic single-acceptor incorporation in Si(100)-2 × 1. AVS Quantum Science, 4(1). 10.1116/5.0075467
Shojaei, A., Hermann, A., Cyron, C.J., Seleson, P., Silling, S., & Silling, S. (2022). A hybrid meshfree discretization to improve the numerical performance of peridynamic models. Computer Methods in Applied Mechanics and Engineering, 391(N/A). https://doi.org/10.1016/j.cma.2021.114544
Chen, Q., Johnson, E.S., Bernal, D.E., Valentin, R., Kale, S., Bates, J., Siirola, J.D., Grossmann, I.E., & Grossmann, I.E. (2022). Pyomo.GDP: an ecosystem for logic based modeling and optimization development. Optimization and Engineering, 23(1), pp. 607-642. 10.1007/s11081-021-09601-7
Fiedler, L., Hoffmann, N., Mohammed, P., Popoola, G.A., Yovell, T., Oles, V., Ellis, J.A., Rajamanickam, S., Cangi, A., & Cangi, A. (2022). Finding Electronic Structure Machine Learning Surrogates without Training. 10.2172/1891948
Liu, Y., Rogers, T., Hughes, C., & Hughes, C. (2022). Unified Memory: GPGPU-Sim/UVM Smart Integration. 10.2172/1844477
Espinoza, H.J.D., Loe, J.A., Boman, E.G., & Boman, E.G. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. 10.2172/1843910
D'Elia, M., Glusa, C., & Glusa, C. (2022). A fractional model for anomalous diffusion with increased variability: Analysis, algorithms and applications to interface problems. Numerical Methods for Partial Differential Equations, 38(6). 10.1002/num.22865
Yasar, A., Rajamanickam, S., Berry, J., Catalyurek, U.V., & Catalyurek, U.V. (2022). A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. IEEE Transactions on Parallel and Distributed Systems, 33(2), pp. 444-458. 10.1109/tpds.2021.3093240
Smith, J.D., Hill, A., Reeder, L.E., Franke, B.C., Lehoucq, R., Parekh, O.D., Severa, W.M., Aimone, J.B., & Aimone, J.B. (2022). Neuromorphic scaling advantages for energy-efficient random walk computations. Nature Electronics, 5(2), pp. 102-112. 10.1038/s41928-021-00705-7
Espinoza, H.J.D., Loe, J.A., Boman, E.G., & Boman, E.G. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. 10.2172/1840649
Lopez, O.F., Lehoucq, R., Dunlavy, D.M., & Dunlavy, D.M. (2022). Zero-Truncated Poisson Tensor Decomposition for Sparse Count Data. 10.2172/1841834
D'Elia, M., Glusa, C., Xu, X., Foster, J.E., & Foster, J.E. (2022). Machine-Learning of Nonlocal Kernels for Anomalous Subsurface Transport from Breakthrough Curves. 10.2172/1842267
Author, N., Madzik, M.T., Asaad, S., Youssry, A., Joecker, B., Rudinger, K.M., Nielsen, E., Young, K., Proctor, T.J., Baczewski, A.D., Laucht, A., Schmitt, V., Hudson, F.E., Itoh, K.M., Jakob, A.M., Johnson, B.C., Jamieson, D.N., Dzurak, A.S., Ferrie, C., … Morello, A. (2022). Precision tomography of a three-qubit donor quantum processor in silicon. Nature, 601(7893), pp. 348-353. 10.1038/s41586-021-04292-7
Seidl, D.T., Granzow, B.N., & Granzow, B.N. (2022). Calibration of elastoplastic constitutive model parameters from full-field data with automatic differentiation-based sensitivities. International Journal for Numerical Methods in Engineering, 123(1), pp. 69-100. 10.1002/nme.6843
Bolten, M., de Sturler, E., Hahn, C., Parks, M.L., & Parks, M.L. (2022). Krylov subspace recycling for evolving structures. Computer Methods in Applied Mechanics and Engineering, 391. 10.1016/j.cma.2021.114222
Diaz-Ibarra, O.H., Kim, K., Safta, C., Zador, J., Najm, H.N., & Najm, H.N. (2022). Using computational singular perturbation as a diagnostic tool in ODE and DAE systems: a case study in heterogeneous catalysis. Combustion Theory and Modelling, 26(2), pp. 201-227. 10.1080/13647830.2021.2002417
Mundt, M.R., Milewicz, R.M., Raybourn, E.M., & Raybourn, E.M. (2022). In Their Shoes: Persona-Based Approaches to Software Quality Practice Incentivization. Computing in Science and Engineering, 24(3), pp. 42-50. 10.1109/mcse.2022.3170027
Proctor, T.J., Rudinger, K.M., Young, K., Nielsen, E., Blume-Kohout, R., & Blume-Kohout, R. (2022). Measuring the capabilities of quantum computers. Nature Physics, 18(1), pp. 75-79. 10.1038/s41567-021-01409-7
Magann, A.B., McCaul, G., Rabitz, H.A., Bondar, D.I., & Bondar, D.I. (2022). Sequential optical response suppression for chemical mixture characterization. Quantum, 6. https://doi.org/10.22331/q-2022-01-20-626
Safta, C., Jakeman, J.D., Gorodetsky, A.A., & Gorodetsky, A.A. (2022). Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning. Journal of Machine Learning Research, 23(143). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85131439706&origin=inward
Hu, X., Walker, B.W., Garcia-Sanchez, F., Edwards, A.J., Zhou, P., Incorvia, J.A.C., Paler, A., Frank, M.P., Friedman, J.S., & Friedman, J.S. (2022). Logical and Physical Reversibility of Conservative Skyrmion Logic. IEEE Magnetics Letters, 13. 10.1109/lmag.2022.3174514