Publications

Xiao, T.P., Feinberg, B., Bennett, C., Agrawal, V., Saxena, P., Prabhakar, V., Ramkumar, K., Medu, H., Raghavan, V., Chettuvetty, R., Agarwal, S., Marinella, M., & Marinella, M. (2022). An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(4), pp. 1480-1493. https://doi.org/10.1109/tcsi.2021.3134313

Cook, J., Aaziz, O., Chen, S., Godoy, W., Powell, A.J., Watson, G., Vaughan, C.T., Wildani, A., & Wildani, A. (2022). Quantitative Performance Assessment of Proxy Apps and Parents (Report for ECP Proxy App Project Milestone ADCD-504-28). https://doi.org/10.2172/1868419

Moon, G.E., Kwon, H., Jeong, G., Chatarasi, P., Rajamanickam, S., Krishna, T., & Krishna, T. (2022). Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Transactions on Parallel and Distributed Systems. https://doi.org/10.2172/1808019

Moore, S.G. (2022). Large-Scale Atomistic Simulations: Investigating Free Expansion. https://doi.org/10.2172/1856462

Stewart, J.A., Wood, M.A., Olles, J.D., & Olles, J.D. (2022). Elucidating size effects on the yield strength of single-crystal Cu via the Richtmyer-Meshkov instability. Journal of Applied Physics, 131(11). https://doi.org/10.1063/5.0082495

McMullen, R.M., Krygier, M., Torczynski, J.R., Gallis, M.A., & Gallis, M.A. (2022). Navier-Stokes Equations Do Not Describe the Smallest Scales of Turbulence in Gases. Physical Review Letters, 128(11). https://doi.org/10.1103/physrevlett.128.114501

Gross, 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. https://doi.org/10.1016/j.jcp.2021.110932

Hogle, C.W., Ivory, M.K., Lobser, D., Ruzic, B., Derose, C., & Derose, C. (2022). Three-Photon Optical Pumping for Trapped Ion Quantum Computing. https://doi.org/10.2172/1854752

Lutz, 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. https://doi.org/10.1039/d1cp05268c

Shojaei, A., Hermann, A., Cyron, C.J., Seleson, P., Silling, S.A., & Silling, S.A. (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. https://doi.org/10.1007/s11081-021-09601-7

Campbell, Q.T., 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). https://doi.org/10.1116/5.0075467

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

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. https://doi.org/10.2172/1891948

Liu, Y., Rogers, T., Hughes, C., & Hughes, C. (2022). Unified Memory: GPGPU-Sim/UVM Smart Integration. https://doi.org/10.2172/1844477

Espinoza, H.J.D., Loe, J.A., Boman, E.G., & Boman, E.G. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. https://doi.org/10.2172/1843910

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. https://doi.org/10.1109/tpds.2021.3093240

Smith, J.D., Hill, A., Reeder, L.E., Franke, B., Lehoucq, R.B., Parekh, O., Severa, W., Aimone, J.B., & Aimone, J.B. (2022). Neuromorphic scaling advantages for energy-efficient random walk computations. Nature Electronics, 5(2), pp. 102-112. https://doi.org/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. https://doi.org/10.2172/1840649

Lopez, O.F., Lehoucq, R.B., Dunlavy, D.M., & Dunlavy, D.M. (2022). Zero-Truncated Poisson Tensor Decomposition for Sparse Count Data. https://doi.org/10.2172/1841834

D'Elia, M., Glusa, C., Xu, X., Foster, J.T., & Foster, J.T. (2022). Machine-Learning of Nonlocal Kernels for Anomalous Subsurface Transport from Breakthrough Curves. https://doi.org/10.2172/1842267

Author, N., Madzik, M.T., Asaad, S., Youssry, A., Joecker, B., Rudinger, K.M., Nielsen, E., Young, K.C., 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.cma.2021.114222

Rudinger, K.M., Ribeill, G.J., Govia, L.C.G., Ware, M., Nielsen, E., Young, K.C., Ohki, T.A., Blume-Kohout, R.J., Proctor, T.J., & Proctor, T.J. (2022). Characterizing Midcircuit Measurements on a Superconducting Qubit Using Gate Set Tomography. Physical Review Applied, 17(1). https://doi.org/10.1103/physrevapplied.17.014014

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. https://doi.org/10.1109/lmag.2022.3174514

Heinlein, A., Perego, M., Rajamanickam, S., & Rajamanickam, S. (2022). FROSch PRECONDITIONERS FOR LAND ICE SIMULATIONS OF GREENLAND AND ANTARCTICA. SIAM Journal on Scientific Computing, 44(2), pp. B339-B367. https://doi.org/10.1137/21m1395260

Okada, Y., Goff, J.M., Keilbart, N., dos Santos Vieira, F., Dabo, I., & Dabo, I. (2022). Atomic Scale Simulations for Pseudocapacitive MXene Electrode [Conference Presenation]. https://doi.org/10.2172/1908761

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. https://doi.org/10.1080/13647830.2021.2002417

Magann, A.B., Grace, M.D., Rabitz, H., Sarovar, M., & Sarovar, M. (2022). Digital quantum simulation of molecular dynamics and control [Conference Poster]. https://doi.org/10.2172/1908755

Hemmert, K.S., Kenny, J., & Kenny, J. (2022). HIHE01-36: Evaluate how various topologies perform in the context of link failures [Slides]. https://doi.org/10.2172/1842916

Proctor, T.J., Rudinger, K.M., Young, K.C., Nielsen, E., Blume-Kohout, R.J., & Blume-Kohout, R.J. (2022). Measuring the capabilities of quantum computers. Nature Physics, 18(1), pp. 75-79. https://doi.org/10.1038/s41567-021-01409-7

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. https://doi.org/10.1109/mcse.2022.3170027

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), pp. 1-29. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85131439706&origin=inward

Cooper, M., Clemmer, J.T., Silling, S.A., Bufford, D.C., Bolintineanu, D.S., & Bolintineanu, D.S. (2022). Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations [Conference Presenation]. Conference Proceedings of the Society for Experimental Mechanics Series. https://doi.org/10.2172/1865256

Moreland, K., Bauer, A.C., Geveci, B., O'Leary, P., Whitlock, B., & Whitlock, B. (2022). Leveraging Production Visualization Tools In Situ. Mathematics and Visualization. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130095177&origin=inward

Ferreira, K., Levy, S.L.N., & Levy, S.L.N. (2022). Characterizing Memory Failures Using Benford’s Law [Conference Paper]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85133026898&origin=inward

Eisenhauer, G., Logan, J., Ulmer, C.D., Widener, P., Wolf, M., & Wolf, M. (2022). Surfacing and Exploiting Metadata Relationships for Scalable Scientific Data Environments [Presentation]. https://www.osti.gov/biblio/1908753

Preece, D.E., Silling, S.A., Bhuiyan, A.E., Lownds, C.M.E., Bowden, P.R.E., & Bowden, P.R.E. (2022). Application of GEM (Geologic Element Motion) to Heave Modeling of Cast Blasting, Mineral and Iron Ore Blasting [Conference Paper]. https://www.osti.gov/biblio/1908751

Armstrong, E., Hansen, M.A., Knaus, R.C., Trask, N.A., Hewson, J.C., Sutherland, J., & Sutherland, J. (2022). Accurate Compression of Tabulated Chemistry Models with Partition of Unity Networks [Conference Paper]. https://doi.org/10.1080/00102202.2022.2102908

Liu, J., Maltzahn, C., Curry, M.L., Ulmer, C.D., & Ulmer, C.D. (2022). Processing Particle Data Flows with SmartNICs. 2022 IEEE High Performance Extreme Computing Conference, HPEC 2022. https://doi.org/10.2172/1892372

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

Wang, Q., Guillaume, J., Jakeman, J.D., Yang, T., Iwanaga, T., Croke, B., Jakeman, T., & Jakeman, T. (2021). Assessing the predictive impact of factor fixing with an adaptive uncertainty-based approach. Environmental Modelling and Software, 148. https://doi.org/10.1016/j.envsoft.2021.105290

Nicholson, B.L., Siirola, J.D., & Siirola, J.D. (2021). NMSBA Sustainable Engineering (Final Report). https://doi.org/10.2172/1834702

Trott, C.R. (2021). December 2021 ECP ST Project Review Kokkos [Presentation]. https://www.osti.gov/biblio/1902026

McMullen, R.M., Krygier, M., Torczynski, J.R., Gallis, M.A., & Gallis, M.A. (2021). Gas-kinetic simulations of compressible turbulence over a mean-free-path-scale porous wall [Conference Paper]. https://doi.org/10.2514/6.2022-1058

Krygier, M., Labonte, T., Martinez, C., Norris, C., Sharma, K., Collins, L.N., Mukherjee, P.P., Roberts, S.A., & Roberts, S.A. (2021). Quantifying the unknown impact of segmentation uncertainty on image-based simulations. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-25493-8

Sunseri, I., Hart, J.L., Alexanderian, A., van Bloemen Waanders, B.G., & van Bloemen Waanders, B.G. (2021). Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEs [Conference Presenation]. https://doi.org/10.2172/1905697

Chester, D.G., Groves, T., Hammond, S., Law, T., Wright, S.A., Smedley-Stevenson, R., S A, F., Mudalige, G.R., Jarvis, S.A., & Jarvis, S.A. (2021). StressBench: A Configurable Full System Network and I/O Benchmark Framework [Conference Proceeding]. https://doi.org/10.1109/HPEC49654.2021.9774494

Loe, J.A. (2021). Mixed Precision Krlyov Slide for ECP Review [Presentation]. https://www.osti.gov/biblio/1900570

Rajamanickam, S., Berger-Vergiat, L., Boman, E.G., Yamazaki, I., & Yamazaki, I. (2021). Sake December 2021 ECP ST Project Review [Presentation]. https://www.osti.gov/biblio/1902027

Lysogorskiy, Y., van der Oord, V., Bochkarev, A., Menon, S., Rinaldi, M., Hammerschmidt, T., Mrovec, M., Thompson, A.P., Csanyi, G., Ortner, C., Drautz, R., & Drautz, R. (2021). Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon. npj Computational Materials, 7(1). https://doi.org/10.1038/s41524-021-00559-9

Cyr, E.C., Saavedra, G., & Saavedra, G. (2021). Machine learning and spatial decomposition for large CT scans [Conference Presenation]. https://doi.org/10.2172/1903090

Dunlavy, D.M., Chew, P.A., & Chew, P.A. (2021). Document Retrieval and Ranking using Similarity Graph Mean Hitting Times. https://doi.org/10.2172/1835671

Campione, S., Stephens, J.A., Martin, N., Eckert, A., Warne, L.K., Huerta, J.G., Pfeiffer, R.A., Jones, A., & Jones, A. (2021). Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities. Journal of Verification, Validation and Uncertainty Quantification, 6(4), pp. 1-37. https://doi.org/10.1115/1.4051906

Aksoy, D., McCarthy, M.J., Geiger, I., Rupert, T., & Rupert, T. (2021). Local and Near-Boundary Environments in NbMoTaW Refractory Multi-Principal Element Alloy [Conference Presenation]. https://doi.org/10.2172/1905965

Swiler, L.P. (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA [Presentation]. https://www.osti.gov/biblio/1901835

Ferreira, K., Levy, S.L.N., & Levy, S.L.N. (2021). Evaluating MPI resource usage summary statistics. Parallel Computing, 108. https://doi.org/10.1016/j.parco.2021.102825

Guo, Z., Song, J.K., Barbastathis, G., Vaughan, C.T., Larson, K., Alpert, B.K., Levine, Z.H., Glinsky, M.E., & Glinsky, M.E. (2021). Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography [Conference Paper]. https://doi.org/10.2352/EI.2022.34.5.MLSI-202

Bender, M., Berry, J., Farach-Colton, M., Johnson, R., Kroeger, T., Pandey, P., Phillips, C.A., Singh, S., & Singh, S. (2021). Advanced Data Structures for Monitoring Cyber Streams [Presentation]. https://www.osti.gov/biblio/1901692

Rodriguez, A.E., Niederhaus, J.H.J., Greenwood, W.J., Clutz, C.C., & Clutz, C.C. (2021). Discrete modeling of a transformer with ALEGRA. https://doi.org/10.2172/1855070

Singh, S., Pandey, P., Bender, M.A., Berry, J., Farach-Colton, M., Johnson, R., Kroeger, T., Phillips, C.A., & Phillips, C.A. (2021). Timely Reporting of Heavy Hitters Using External Memory. ACM Transactions on Database Systems, 46(4), pp. 1-35. https://doi.org/10.1145/3472392

Rajamanickam, S. (2021). Can Scientific Software Development Use the Outsourcing Model Successfully? [Conference Presenation]. https://doi.org/10.2172/1908776

Bradley, A.M., Bosler, P.A., Guba, O., Taylor, M.A., & Taylor, M.A. (2021). Interpolation Semi-Lagrangian Element-Based Transport (Islet) with p-refinement for extremely high-resolution tracer transport [Conference Presenation]. https://doi.org/10.2172/1902840

Bertagna, L., Perego, M., Hoffman, M., & Hoffman, M. (2021). Constraining subglacial hydrology with ice surface velocity observations by solving an inverse ice dynamics-subglacial hydrology problem [Conference Presenation]. https://doi.org/10.2172/1905434

Najm, H.N., Yang, Y., Zador, J., Eldred, M., & Eldred, M. (2021). Surrogate models and physics constraints in atomistic modeling [Conference Presenation]. https://doi.org/10.2172/1903685

Carson, E., Gergelits, T., Yamazaki, I., & Yamazaki, I. (2021). Mixed precision s–step Lanczos and conjugate gradient algorithms. Numerical Linear Algebra with Applications, 29(3). https://doi.org/10.1002/nla.2425

Rackers, J.A., Silva, R.R., Wang, Z., Ponder, J.W., & Ponder, J.W. (2021). Polarizable Water Potential Derived from a Model Electron Density. Journal of Chemical Theory and Computation, 17(11), pp. 7056-7084. https://doi.org/10.1021/acs.jctc.1c00628

Leger, M., Darling, M.C., Jones, S.T., Matzen, L.E., Stracuzzi, D.J., Wilson, A.T., Bueno, D., Christentsen, M., Ginaldi, M., Bachman, W.B., Heidbrink, S., Howell, B.C., Leger, C., Reedy, G., Rogers, A.N., Williams, J., & Williams, J. (2021). Exploring Explicit Uncertainty for Binary Analysis (EUBA). https://doi.org/10.2172/1832314

Bachman, W.B., Schleife, A., Baczewski, A.D., Hansen, S.B., Kononov, A., & Kononov, A. (2021). Optical Properties of Be at High Temperatures from First Principles [Conference Presenation]. https://doi.org/10.2172/1897695

Rawlings, E., Susarla, N., Ghouse, J., Laird, C., Zamarripa, M., Bynum, M., Siirola, J.D., Miller, D., & Miller, D. (2021). Conceptual Design Via Superstructure Optimization in Advanced Energy Systems Using IDAES [Conference Presenation]. https://doi.org/10.2172/1899680

Bachman, W.B., Tranchida, J., & Tranchida, J. (2021). Multi-fidelity Gaussian process and Bayesian optimization for materials design: Application to ternary random alloys [Conference Presenation]. https://doi.org/10.2172/1898471

Krygier, M., Torczynski, J.R., Gallis, M.A., & Gallis, M.A. (2021). Exploring near-continuum turbulent compressible flow in the Taylor-Green vortex [Conference Presenation]. https://doi.org/10.2172/1897023

Cusentino, M.A., Wood, M.A., Thompson, A.P., & Thompson, A.P. (2021). Development of SNASP Machine Learned Interatomic Potentials for Materials in Extreme Environments [Conference Presenation]. https://doi.org/10.2172/1899237

Willenbring, J.M. (2021). A Testing Strategy that Supports Scientific Software Sustainability [Conference Paper]. https://www.osti.gov/biblio/1899242

Smith, J.D., Galvan, E., & Galvan, E. (2021). CSRI Summer Proceedings 2021. https://doi.org/10.2172/1855061

Diaz-Ibarra, O.H., Kim, K., Safta, C., Najm, H.N., & Najm, H.N. (2021). CSPlib - A Toolkit for the Analysis of ODE/DAE Dynamical Systems and Chemical Kinetic Models. https://doi.org/10.2172/1855067

Rajamanickam, S. (2021). Can Scientific Software Development Use the Outsourcing Model Successfully [Conference Paper]. https://www.osti.gov/biblio/1899526

Littlewood, D.J. (2021). An Introduction to the Peridigm Code [Conference Presenation]. https://doi.org/10.2172/1900111

Chance, F.S. (2021). Lessons from dragonflies for neuromorphic computing [Presentation]. https://www.osti.gov/biblio/1898473

Hentschel, T.W., Kononov, A., Baczewski, A.D., Cangi, A., Hansen, S.B., & Hansen, S.B. (2021). Effects of electron-ion collisions on stopping powers in warm dense matter [Conference Poster]. https://doi.org/10.2172/1897018

Smith, J.D., Aimone, J.B., Severa, W., Lehoucq, R.B., & Lehoucq, R.B. (2021). Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling [Conference Presenation]. https://doi.org/10.2172/1899660

Steiner, A.M., Siefert, C., Shipley, G.A., Redline, E., Dickens, S.M., Jaramillo, R., Chavez, T.P., Hutsel, B.T., Bachman, W.B., Peterson, K.J., Bell, K., Balogun, S., Losego, M., Sammeth, T., Kern, I., Harjes, C., Gilmore, M., Lehr, J., & Lehr, J. (2021). Investigating Volumetric Inclusions of Semiconductor Materials to Improve Flashover Resistance in Dielectrics [Conference Poster]. https://doi.org/10.2172/1899533

Swiler, L.P. (2021). Verification and Validation for Cyber Emulation [Conference Presenation]. https://doi.org/10.2172/1897016

Laird, C., Jalving, J.H., Blakely, L., Eydenberg, M.S., Boukouvala, F., Kilwein, Z., & Kilwein, Z. (2021). Integration of Optimization and Machine Learning for Improving Electrical Grid Operation [Conference Presenation]. https://doi.org/10.2172/1896366

Pawlowski, R. (2021). Trilinos Nonlinear Analysis Product Area Update [Conference Presenation]. https://doi.org/10.2172/1900095

Crockatt, M.M., Shadid, J.N., Pawlowski, R., Conde, S., Mabuza, S., Bonilla, J., & Bonilla, J. (2021). Fluid Plasma Model Development in Drekar [Conference Presenation]. https://doi.org/10.2172/1899280

Safta, C., Najm, H.N., Diaz-Ibarra, O.H., Kim, K., & Kim, K. (2021). TChem v3.0: A Software Toolkit for the Analysis of Complex Kinetic Models. https://doi.org/10.2172/1829197

Mundt, M.R. (2021). RSE-HPC-2021 Panelist Introduction [Conference Presenation]. https://doi.org/10.2172/1896864

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., Swiler, L.P., Bachman, W.B., 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.6.16 User's Manual). https://doi.org/10.2172/1868142

Plimpton, S.J. (2021). Thoughts on software for science [Presentation]. https://www.osti.gov/biblio/1900102

Nichol, J.J. (2021). PhD Committee Meeting 1 [Presentation]. https://www.osti.gov/biblio/1897020

Silling, S.A. (2021). Special journal issue on nonlocal codes [Conference Presenation]. https://doi.org/10.2172/1899695

Mundt, M.R., Milewicz, R.M., & Milewicz, R.M. (2021). Working in Harmony: Towards Integrating RSEs into Multi-Disciplinary CSE Teams [Conference Paper]. https://www.osti.gov/biblio/1899261

Smith, J.D., Galvan, E., & Galvan, E. (2021). CSRI Summer Proceedings 2021. https://doi.org/10.2172/1836402

Milewicz, R.M., Mundt, M.R., & Mundt, M.R. (2021). Building Bridges: Establishing a Dialogue Between Software Engineering Research and Computational Science [Conference Paper]. https://www.osti.gov/biblio/1899252

Harvey, E.C. (2021). A Common Tool for Building Trilinos: Introduction to GenConfig [Presentation]. https://www.osti.gov/biblio/1900099

Younge, A.J. (2021). Constructing Containers for Exascale Computing [Presentation]. https://www.osti.gov/biblio/1899250

Crossno, P.J. (2021). Visualizing Velocity Direction Using 3D Lookup Tables [Presentation]. https://www.osti.gov/biblio/1900109

Rothganger, F. (2021). N2A: a language and software tool for large-scale modeling [Conference Poster]. https://doi.org/10.2172/1899507