Publications

Bertagna, L. (2020). 2D-3D coupling struggles: subglacial hydrology in Albany-LandIce [Presentation]. https://www.osti.gov/biblio/1763605

Milewicz, R.M., Heroux, M.A., Gonsiorowski, E., Gupta, R., Moulton, J.D., Watson, G.R., Willenbring, J.M., Zamora, R.J., Raybourn, E.M., & Raybourn, E.M. (2020). Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP) [Conference Poster]. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-030-44728-1_6

Blume-Kohout, R.J., Young, K.C., & Young, K.C. (2020). A volumetric framework for quantum computer benchmarks. Quantum, 4, pp. 1-28. https://doi.org/10.22331/q-2020-11-15-362

Rajamanickam, S. (2020). Machine Learning in the Presence of Noise : Early Experiments [Conference Poster]. https://www.osti.gov/biblio/1763269

Lehoucq, R.B., Franke, B., Bond, S., Smith, J.D., & Smith, J.D. (2020). Sensitivity analysis for Monte Carlo simulations of integro-partial differential equations [Conference Poster]. https://www.osti.gov/biblio/1764792

Davis, W.L., Shead, T.M., Kolla, H., Reed, K., Kegelmeyer, W.P., Popoola, G.A., & Popoola, G.A. (2020). In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms [Presentation]. https://www.osti.gov/biblio/1762271

Moreland, K. (2020). In Situ Visualization and Analysis with Ascent: Using VTK-m [Presentation]. https://www.osti.gov/biblio/1762581

Perego, M. (2020). Trilinos Discretizations Product Update [Presentation]. https://www.osti.gov/biblio/1760975

Shukla, K., Frank, M.P., & Frank, M.P. (2020). Pathfinding Thermodynamically Reversible Quantum Computation [Conference Poster]. https://www.osti.gov/biblio/1763620

Halappanavar, M., Buluc, A., Boman, E.G., Pothen, A., Tumeo, A., Khan, A., Minutoli, M., Tallent, N., Gawande, N., Ekanayake, S., Ghosh, S., Acer, S., Rajamanickam, S., Ferdous, S.M., & Ferdous, S.M. (2020). ExaGraph: Combinatorial Methods for Enabling Exascale Applications [Conference Poster]. https://www.osti.gov/biblio/1889004

Maunz, P.L.W., Clark, S.M., Hogle, C.W., Haltli, R., Lobser, D., Pehr, J.M., Revelle, M., Ruzic, B., Yale, C.G., Blain, M., & Blain, M. (2020). Microfabricated ion traps for LogiQal Qubits [Conference Poster]. https://www.osti.gov/biblio/1761568

Hoemmen, M.F., Hollman, D.S., Trott, C.R., Liber, N., Rajamanickam, S., Lo, L., Lopez, G., Caday, P., Knepper, S., Costa, T., & Costa, T. (2020). P1673R2: A free function linear algebra interface based on the BLAS [Conference Poster]. https://www.osti.gov/biblio/1761294

Lin, P.T., Shadid, J.N., Tsuji, P.H., & Tsuji, P.H. (2020). Krylov Smoothing for Fully-Coupled AMG Preconditioners for VMS Resistive MHD [Conference Poster]. Lecture Notes in Computational Science and Engineering. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081755851&origin=inward

Maniaci, D.C., Frankel, A., Geraci, G., Blaylock, M., Eldred, M., & Eldred, M. (2020). Multilevel uncertainty quantification of a wind turbine large eddy simulation model [Conference Poster]. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081054879&origin=inward

Perego, M. (2020). Albany Land Ice (ALI) model focus on optimization capability [Presentation]. https://www.osti.gov/biblio/1764106

le Roux, D.Y., Eldred, C., Taylor, M.A., & Taylor, M.A. (2020). Fourier analyses of high-order continuous and discontinuous Galerkin methods. SIAM Journal on Numerical Analysis, 58(3), pp. 1845-1866. https://doi.org/10.1137/19m1289595

Younge, A.J., Agelastos, A.M., Lawson, G., Bachman, W.B., & Bachman, W.B. (2020). HPC Containers Usage Sandia National Laboratories [Presentation]. https://www.osti.gov/biblio/1764348

Sprague, M., Ananthan, S., Brazell, M., Glaws, A., de Frahan, M., King, R., Natarajan, M., Rood, J., Sharma, A., Sirydowicz, K., Thomas, S., Vijaykumar, G., Yellapantula, S., Crozier, P., Berger-Vergiat, L., Cheung, L.C., Glaze, D., Hu, J.J., Knaus, R.C., … Sitaraman, J. (2020). ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling [Conference Poster]. https://www.osti.gov/biblio/1764343

Blonigan, P.J., Geraci, G., Rizzi, F., Eldred, M., & Eldred, M. (2020). Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification [Conference Poster]. AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-0420

di Matteo, O., Gamble, J., Granade, C., Rudinger, K.M., Wiebe, N., & Wiebe, N. (2020). Operational, gauge-free quantum tomography. Quantum, 4. https://doi.org/10.22331/q-2020-11-17-364

Divis, K.M., Abbott, R.G., Branda, C., Avina, G.E., Femling, J., Huerta, J.G., Jelinkova, L., Jennings, J.K., Pearce, E., Ries, D., Sanchez, D.N., Silva, A.R., & Silva, A.R. (2020). Rim-to-Rim Werables at The Canyon for Health (R2R WATCH): Physiological Cognitive and Biological Markers of Performance Decline in an Extreme Environment. Journal of Human Performance in Extreme Environments. https://www.osti.gov/biblio/1618077

Cook, J., Kuehn, J., Aaziz, O., Vaughan, C.T., & Vaughan, C.T. (2020). Using Cosine Similarity to Quantify Representativeness of ECP Proxy Apps [Presentation]. https://www.osti.gov/biblio/1764339

Cook, J., Kuehn, J., Aaziz, O., Vaughan, C.T., & Vaughan, C.T. (2020). Using LDMS for Performance and Proxy Representativeness Characterization [Presentation]. https://www.osti.gov/biblio/1764340

Anguiano, M., Kuberry, P., Bochev, P., Masud, A., & Masud, A. (2020). Synchronous and concurrent multidomain computing method for cloud computing platforms. SIAM Journal on Scientific Computing, 43(5), pp. S565-S591. https://doi.org/10.1137/20m1349278

Sansom, K.R., Dark, J., Littlewood, D.J., Trageser, J., & Trageser, J. (2020). Performance Portability in Practice: Mesh-Free Microstructure Peridynamics on the GPU [Conference Poster]. https://www.osti.gov/biblio/1761283

Younge, A.J. (2020). ECP Supercontainers:2.3.5.09 Packaging Technologies [Conference Poster]. https://www.osti.gov/biblio/1763175

Phillips, E., Shadid, J.N., Cyr, E.C., Miller, S., & Miller, S. (2020). Enabling Scalable Multifluid Plasma Simulations Through Block Preconditioning [Conference Poster]. Lecture Notes in Computational Science and Engineering. https://doi.org/10.1007/978-3-030-30705-9_21

Sahasrabudhe, D., Phipps, E.T., Rajamanickam, S., Berzins, M., & Berzins, M. (2020). A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures [Conference Poster]. 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=85087768778&origin=inward

Smith, J.D., Aimone, J.B., Franke, B., Hill, A., Lehoucq, R.B., Parekh, O., Reeder, L., Severa, W., & Severa, W. (2020). Solving IPDEs on Spiking Neuromorphic Hardware [Conference Poster]. https://www.osti.gov/biblio/1761032

Peterson, K. (2020). Arctic Tipping Points Triggering Global Change [Presentation]. https://www.osti.gov/biblio/1763176

Thompson, A.P., Moore, S.G., Gayatri, R., & Gayatri, R. (2020). Refactoring EXAALT MD for Emerging Architecture [Presentation]. https://www.osti.gov/biblio/1761588

Robbins, J. (2020). Optimization-based design for manufacturing [Presentation]. https://www.osti.gov/biblio/1760996

Pawlowski, R., Phipps, E.T., & Phipps, E.T. (2020). Hierarchic Parallelism Memory Management and Helpful Debugging Tools: Updates on Trilinos Discretization Packages [Conference Poster]. https://www.osti.gov/biblio/1763879

Gonsiorowski, E., Milewicz, R.M., Raybourn, E.M., Watson, G., & Watson, G. (2020). Hands-on with Progress Tracking Cards: A Lightweight Method for Improving Your Software Practices [Conference Poster]. https://www.osti.gov/biblio/1763877

Brickson, M.I., Campbell, Q.T., Jacobson, N.T., Baczewski, A.D., & Baczewski, A.D. (2020). Towards analog quantum simulation of strongly correlated electron systems with lithographic quantum dots [Conference Poster]. https://www.osti.gov/biblio/1763952

Kuberry, P., Perego, M., Trask, N.A., Bochev, P., & Bochev, P. (2020). Field reconstruction from Raviart-Thomas Nedelec and finite volume degrees-of-freedom using Generalized Moving Least Squares [Conference Poster]. https://www.osti.gov/biblio/1761038

Grant, R., Schonbein, W., & Schonbein, W. (2020). Intelligent High-Performance Networks Via INCA [Presentation]. https://www.osti.gov/biblio/1763174

Schiavazzi, D.E., Fleeter, C.M., Geraci, G., Marsden, A.L., & Marsden, A.L. (2020). Multifidelity uncertainty propagation for cardiovascular hemodynamics [Conference Poster]. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081056716&origin=inward

Moore, S.G., Thompson, A.P., Gayatri, R., & Gayatri, R. (2020). CoPA Work in Support of EXAALT/LAMMPS/SNAP [Presentation]. https://www.osti.gov/biblio/1764103

Cyr, E.C., Gulian, M., Patel, R., Perego, M., Trask, N.A., & Trask, N.A. (2020). Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint [Conference Poster]. Proceedings of Machine Learning Research. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85162649507&origin=inward

Menhorn, F.M., Geraci, G., Eldred, M., Marzouk, Y.M., & Marzouk, Y.M. (2020). Multifideliy optimization under uncertainty for a scramjet-inspired problem [Conference Poster]. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066268758&origin=inward

Hughes, C. (2020). Artificial Intelligence Focused Architectures and Algorithms (ARIAA) Kickoff Meeting [Presentation]. https://www.osti.gov/biblio/1761277

Ibanez-Granados, D.A., Powell, M., & Powell, M. (2020). Explosive DGX Performance for Weapon Component Modeling [Conference Poster]. https://www.osti.gov/biblio/1760986

Cambier, L., Boman, E.G., Rajamanickam, S., Tuminaro, R.S., Darve, E., & Darve, E. (2020). An algebraic sparsified nested dissection algorithm using low-rank approximations. SIAM Journal on Matrix Analysis and Applications, 41(2), pp. 715-746. https://doi.org/10.1137/19m123806x

Bachman, W.B., Maniaci, D.C., Herges, T., Geraci, G., Seidl, D.T., Eldred, M., Blaylock, M., Houchens, B.C., & Houchens, B.C. (2020). Multilevel uncertainty quantification using cfd and openfast simulations of the swift facility [Conference Poster]. AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-1949

Sockwell, K.C. (2020). Mass Conserving Hamiltonian-Structure-Preserving Reduced Order Modeling for the Rotating Shallow Water Equations [Conference Poster]. https://www.osti.gov/biblio/1760974

Jared, B.H., Madison, J., Saiz, D.J., Mitchell, J.A., Koepke, J.R., Ivanoff, T., & Ivanoff, T. (2020). Linking Pyrometry to Porosity in AM metals [Presentation]. https://www.osti.gov/biblio/1763169

Mitchell, J.A., Ivanoff, T., Dagel, D., Madison, J., Jared, B.H., & Jared, B.H. (2020). Linking pyrometry to porosity in additively manufactured metals. Additive Manufacturing, 31(C). https://doi.org/10.1016/j.addma.2019.100946

Doyle, C.L., Naugle, A.B., Bernard, M., Lakkaraju, K., Kittinger, R., Sweitzer, M.D., Rothganger, F., & Rothganger, F. (2020). Group Formation Theory at Multiple Scales [Conference Poster]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-61255-9_17

Kouri, D.P., Ridzal, D., Tuminaro, R.S., & Tuminaro, R.S. (2020). KKT preconditioners for pde-constrained optimization with the helmholtz equation. SIAM Journal on Scientific Computing, 43(5), pp. S225-S248. https://doi.org/10.1137/20m1349199

Taylor, M.A., Guba, O., Steyer, A., Ullrich, P.A., Hall, ., Eldred, C., & Eldred, C. (2020). An Energy Consistent Discretization of the Nonhydrostatic Equations in Primitive Variables. Journal of Advances in Modeling Earth Systems, 12(1). https://doi.org/10.1029/2019MS001783

Stephens, J.S., Parekh, O., Bolden, W., & Bolden, W. (2020). A Hybrid Quantum Optimization Algorithm Incorporating Classical Heuristics [Presentation]. https://www.osti.gov/biblio/1761890

Chung, S.W., Bond, S.D., Cyr, E.C., Freund, J.B., & Freund, J.B. (2020). Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods. Journal of Computational Physics, 400(C). https://doi.org/10.1016/j.jcp.2019.108969

van Bloemen Waanders, B.G. (2020). Hyper-Differential Sensitivity Analysis of Uncertain Parameters in PDE-Constrained Optimization. International Journal for Uncertainty Quantification, 10(3), pp. 225-248. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2020032480

Heinlein, A., Klawonn, A., Rajamanickam, S., Rheinbach, O., & Rheinbach, O. (2020). FROSch: A Fast And Robust Overlapping Schwarz Domain Decomposition Preconditioner Based on Xpetra in Trilinos [Conference Poster]. Lecture Notes in Computational Science and Engineering. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096610014&origin=inward

Campione, S., Stephens, J.A., Martin, N.S., Eckert, A., Warne, L.K., Huerta, J.G., Pfeiffer, R.A., Jones, A., & Jones, A. (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC PROBLEMS OF HIGHLY RESONANT CAVITIES USING DAKOTA [Conference Poster]. https://www.osti.gov/biblio/1761295

Levy, S.L.N., Ferreira, K., & Ferreira, K. (2020). Space-Efficient Reed-Solomon Encoding to Detect and Correct Pointer Corruption [Conference Poster]. 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=85086273467&origin=inward

Popoola, G.A., Davis, W.L., Shead, T.M., Graves, C., & Graves, C. (2020). Using Unsupervised Anomaly Detection for Data Reduction in Temporal and Spatial Data [Conference Poster]. https://www.osti.gov/biblio/1763159

Blonigan, P.J., Geraci, G., Rizzi, F., Eldred, M., & Eldred, M. (2020). Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification [Conference Poster]. AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-0420

Tezaur, I.K., Watkins, J.E., Tuminaro, R.S., & Tuminaro, R.S. (2020). Trilinos/Kokkos-based strategy towards achieving a performance portable land-ice model [Conference Poster]. https://www.osti.gov/biblio/1760994

Severa, W. (2020). Neural-Inspired Computation for Efficient Scientific Computing via Random Walks and Surrogate Models [Conference Poster]. https://www.osti.gov/biblio/1761899

Grant, R. (2020). MPI Partitioned Communication [Presentation]. https://www.osti.gov/biblio/1762584

Bachman, W.B., Eldred, M., McCann, S., Wang, Y., & Wang, Y. (2020). srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications [Conference Poster]. Proceedings of the ASME Design Engineering Technical Conference. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85094669306&origin=inward

Moen, C.D., Li, Z., Severa, W., & Severa, W. (2020). Advanced Computing for CAV Presentations to Automotive Industry [Presentation]. https://www.osti.gov/biblio/1765087

Maljaars, J.M., Labeur, R.J., Trask, N.A., Sulsky, D.L., & Sulsky, D.L. (2020). Optimization Based Particle-Mesh Algorithm for High-Order and Conservative Scalar Transport [Conference Poster]. Lecture Notes in Computational Science and Engineering. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081733687&origin=inward

Bachman, W.B., Visintainer, R., Furlan, J., Pagalthivarthi, K.V., Garman, M., Cutright, A., Wang, Y., & Wang, Y. (2020). WearGP: A UQ/ML wear prediction framework for slurry pump impellers and casings [Conference Poster]. American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085274241&origin=inward

Ridzal, D., Bochev, P., & Bochev, P. (2020). Optimization-based property-preserving solution recovery for fault-tolerant scalar transport [Conference Poster]. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081059417&origin=inward

Kalinina, E.A., Ammerman, D.J., Grey, C.A., Arviso, M., Wright, C., Lujan, L., Flores, G.J., Saltzstein, S.J., & Saltzstein, S.J. (2019). 30 cm Drop Tests. https://doi.org/10.2172/1592883

Lofstead, G.F., Baker, J., Younge, A.J., & Younge, A.J. (2019). Data Pallets: Containerizing Storage For Reproducibility and Traceability. Lecture Notes in Computer Science, 11887, pp. 36-45. https://doi.org/10.1007/978-3-030-34356-9_4

Carvey, B.J. (2019). Developing AR for iOS with USD and USDZ [Presentation]. https://www.osti.gov/biblio/1646378

Fox, J.S., Rajamanickam, S., & Rajamanickam, S. (2019). How Robust Are Graph Neural Networks to Structural Noise? [Conference Poster]. https://www.osti.gov/biblio/1643395

Parekh, O. (2019). Almost optimal classical algorithms for a quantum generalization of Max Cut [Conference Poster]. https://www.osti.gov/biblio/1643365

Berry, J. (2019). Making social networks more human: A topological approach. Statistical Analysis and Data Mining, 12(6), pp. 449-464. https://doi.org/10.1002/sam.11420

Yamazaki, I., Tomas, S., Hoemmen, M.F., Boman, E.G., Swirydowicz, K., & Swirydowicz, K. (2019). Low-synch Gram Schmidt orthogonalization schemes for s-step and pipelined Krylov solvers in Trilinos [Conference Poster]. https://www.osti.gov/biblio/1643437

Loe, J., Thornquist, H., Boman, E.G., & Boman, E.G. (2019). Polynomial Preconditioned GMRES in Trilinos: Practical Considerations for High-Performance Computing [Conference Poster]. https://doi.org/10.1137/1.9781611976137.4

Hillman, B.R., Taylor, M.A., Hannah, W., Jones, C., Norman, M., Lee, J., Pressel, K., Pritchard, M., Bader, D., Leung, R., & Leung, R. (2019). Reducing the cost of radiation in multi-scale atmosphere models [Conference Poster]. https://www.osti.gov/biblio/1643414

Cyr, E.C., Shadid, J.N., Tuminaro, R.S., Chacon, L., Pawlowski, R., Phillips, E., Miller, S., & Miller, S. (2019). Techniques for Simulating Multiple Timescales with Application to Plasmas [Presentation]. https://www.osti.gov/biblio/1646409

Zhen, T., Klise, K.A., Cunningham, S., Marszal, E., Laird, C., & Laird, C. (2019). A mathematical programming approach for the optimal placement of flame detectors in petrochemical facilities. Process Safety and Environmental Protection, 132(C), pp. 47-58. https://doi.org/10.1016/j.psep.2019.08.030

Safta, C., Sargsyan, K., Jakeman, J.D., & Jakeman, J.D. (2019). Uncertainty Quantification for E3SM Land Component using Low-Rank Surrogate Models [Conference Poster]. https://www.osti.gov/biblio/1643449

Tezaur, I.K., Voth, T.E., Niederhaus, J.H.J., & Niederhaus, J.H.J. (2019). XFEM Development in the ALEGRA Code [Presentation]. https://www.osti.gov/biblio/1646371

Hughes, C., Voskuilen, G.R., Zhang, M., Rogers, T., & Rogers, T. (2019). The Structural Simulation Toolkit [Presentation]. https://www.osti.gov/biblio/1646385

Roberts, N.V., Henneking, S.K.W., Miller, S., Cyr, E.C., & Cyr, E.C. (2019). Residual-Minimizing Approaches for Transient Problems on Next-Generation Computing Architectures [Conference Poster]. https://www.osti.gov/biblio/1643401

Lee, K., Nur, N., Park, N., Kang, H., Kwon, S., & Kwon, S. (2019). Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients [Conference Poster]. Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081306061&origin=inward

Little, B.J., Parazzoli, L.P., Bainbridge, J.E., Biedermann, G., Lee, J., Ruzic, B., Brif, C., & Brif, C. (2019). Entanglement-Enhanced Interferometry with Neutral Atoms [Conference Poster]. https://www.osti.gov/biblio/1643472

Cyr, E.C., Gulian, M., Patel, R., Perego, M., Trask, N.A., & Trask, N.A. (2019). Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint [Conference Poster]. https://www.osti.gov/biblio/1643463

Cyr, E.C., Guenther, S., Schroder, J.B., & Schroder, J.B. (2019). Multilevel Initialization for Layer-Parallel Deep Neural Network Training [Conference Poster]. https://www.osti.gov/biblio/1643389

Peterson, K., Powell, A.J., Roesler, E.L., & Roesler, E.L. (2019). Arctic Sea Ice Internal Variability and Trends in E3SM [Conference Poster]. https://www.osti.gov/biblio/1643448

Crossno, P.J. (2019). Slycat? Overview and Update [Presentation]. https://www.osti.gov/biblio/1646358

Berger-Vergiat, L., Hu, J.J., Rajamanickam, S., Yamazaki, I., & Yamazaki, I. (2019). Trilinos linear solvers group update [Presentation]. https://www.osti.gov/biblio/1646404

Hughes, C., Voskuilen, G.R., Zhang, M., Rogers, T., & Rogers, T. (2019). The Structural Simulation Toolkit and GPGPU-Sim [Presentation]. https://www.osti.gov/biblio/1646386

Bachman, W.B., Wildey, T., & Wildey, T. (2019). Materials informatics: data-driven materials design and uncertainty quantification perspectives [Conference Poster]. https://www.osti.gov/biblio/1643479

Cyr, E.C., Gulian, M., Patel, R., Perego, M., Trask, N.A., Ridzal, D., Guenther, S., Ruthotto, L., Schroder, J.B., Gauger, N.R., & Gauger, N.R. (2019). Improved Neural Network Training: Layer-Parallelism Least-squares and Initialization [Conference Poster]. https://www.osti.gov/biblio/1643364

Mamaluy, D., Granado, J., Gao, X., & Gao, X. (2019). Quantum transport in APAM wires [Conference Poster]. https://www.osti.gov/biblio/1643480

Matteo, E.N., Dewers, T., Fuller, T.J., Jove-Colon, C.F., & Jove-Colon, C.F. (2019). Tools and Methods for Improved Understanding of Chemo-Mechanics in Cementitious Materials [Conference Poster]. https://www.osti.gov/biblio/1643434

Tuminaro, R.S., Berger-Vergiat, L., Siefert, C., Brazell, M., Mavriplis, D., & Mavriplis, D. (2019). Algebraic Multigrid for Highly Convective Flow Simulations [Conference Poster]. https://www.osti.gov/biblio/1643436

Weiss, C.J., Downs, C.M., van Bloemen Waanders, B.G., & van Bloemen Waanders, B.G. (2019). The unstructured APhiD: A finite element formulation of Maxwell?s equations using Lorenz-gauged potentials [Conference Poster]. https://www.osti.gov/biblio/1643518

Hughes, C. (2019). The Structural Simulation Toolkit [Presentation]. https://www.osti.gov/biblio/1646343

Shadid, J.N. (2019). Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models [Conference Poster]. https://www.osti.gov/biblio/1643471

Friedrich, M., Geraci, G., Seidl, D.T., Eldred, M., Ryan, R., Hans-Joachim, B., Youssef, M., & Youssef, M. (2019). Higher moment multilevel estimators for optimization under uncertainty applied to wind plant design [Conference Poster]. https://www.osti.gov/biblio/1643359

Aadithya, K.V., Kuberry, P., Paskaleva, B.S., Bochev, P., Leeson, K.M., Mar, A., Mei, T., Keiter, E., & Keiter, E. (2019). Development, Demonstration and Validation of Data-Driven Compact Diode Models for Circuit Simulation and Analysis. https://doi.org/10.2172/1592881