Publications

Siefert, C., Bachman, W.B., & Bachman, W.B. (2020). Case Study: Debugging Other People?s Libraries via PRELOAD [Conference Poster]. https://www.osti.gov/biblio/1807408

Bochev, P. (2020). Data driven photocurrent models [Presentation]. https://www.osti.gov/biblio/1804988

Mabuza, S., Shadid, J.N., Cyr, E.C., Pawlowski, R., Kuzmin, D., & Kuzmin, D. (2020). A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations. Journal of Computational Physics, 410(C). https://doi.org/10.1016/j.jcp.2020.109390

Levine, A.L., Willenbring, J.M., & Willenbring, J.M. (2020). Navigating the Rapids: Creating a Continuous Integration System for Github and Jenkins [Conference Poster]. https://www.osti.gov/biblio/1805336

Bochev, P., Ridzal, D., D'Elia, M., Perego, M., Peterson, K., & Peterson, K. (2020). Optimization-based, property-preserving finite element methods for scalar advection equations and their connection to Algebraic Flux Correction. Computer Methods in Applied Mechanics and Engineering, 367. https://doi.org/10.1016/j.cma.2020.112982

Singh, B. (2020). Tighter reformulations using classical Dawson and Sankoff bounds for approximating two-stage chance-constrained programs. Optimization Letters, 15(2), pp. 327-336. https://doi.org/10.1007/s11590-020-01592-1

Trask, N.A., Bochev, P., Perego, M., & Perego, M. (2020). A conservative, consistent, and scalable meshfree mimetic method. Journal of Computational Physics, 409(C). https://doi.org/10.1016/j.jcp.2019.109187

Gross, B.J., Trask, N.A., Kuberry, P., Atzberger, P.J., & Atzberger, P.J. (2020). Meshfree methods on manifolds for hydrodynamic flows on curved surfaces: A Generalized Moving Least-Squares (GMLS) approach. Journal of Computational Physics, 409(C). https://doi.org/10.1016/j.jcp.2020.109340

Chance, F.S., Aimone, J.B., Musuvathy, S., Smith, M.R., Vineyard, C.M., Wang, F., & Wang, F. (2020). Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers in Computational Neuroscience, 14(39). https://doi.org/10.3389/fncom.2020.00039

Aimone, J.B. (2020). A Neuromorphic Future for Classic Computing Tasks [Presentation]. https://www.osti.gov/biblio/1785161

Chow, M.N.H., Little, B.J., Parazzoli, L.P., Brif, C., Ruzic, B., Biedermann, G., & Biedermann, G. (2020). Entanglement Enhanced Matterwave Interferometry [Conference Poster]. https://www.osti.gov/biblio/1785612

Field, R.V., Wendt, J.D., Phillips, C.A., Wilson, T., Soundarajan, S., Bhowmick, S., & Bhowmick, S. (2020). Partitioning Communication Streams into Graph Snapshots [Presentation]. https://www.osti.gov/biblio/1782498

Qin, E., Jeong, G., Won, W., Kao, S., Kwon, H., Srinivasan, S., Das, D., Moon, G.E., Rajamanickam, S., Krishna, T., & Krishna, T. (2020). MINT: Microarchitecture for Efficient and Interchangeable CompressioN Formats on Tensor Algebra [Conference Poster]. https://www.osti.gov/biblio/1782675

Moon, G.E., Rajamanickam, S., Krishna, T., Kwon, H., Chatarasi, P., Qin, E., & Qin, E. (2020). Utilizing Spatial Accelerators for Machine Learning and Linear Algebra Kernels [Conference Poster]. https://www.osti.gov/biblio/1782497

Rushdi, M.A., Dief, T.N., Yoshida, S., Schmehl, R., Rushdi, A., & Rushdi, A. (2020). Power prediction of airborne wind energy systems using multivariate machine learning. Energies, 13(9). https://doi.org/10.3390/en13092367

Acer, S., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2020). SPHYNX: Spectral partitioning for HYbrid and aXelerator-enabled systems [Conference Poster]. Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091572985&origin=inward

Levy, S.L.N., Widener, P., Ulmer, C.D., Kordenbrock, T., & Kordenbrock, T. (2020). The case for explicit reuse semantics for RDMA communication [Conference Poster]. Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020. https://doi.org/10.1109/IPDPSW50202.2020.00148

Eldred, M. (2020). FY20 Q3/Q4 Modularization [Presentation]. https://www.osti.gov/biblio/1786300

Moreland, K. (2020). How Ubiquitous Parallel Devices Affect Visualization [Presentation]. https://www.osti.gov/biblio/1785229

Hughes, C. (2020). SST Paths for ARIAA [Presentation]. https://www.osti.gov/biblio/1783425

Beyeler, W.E., Frazier, C.R., Swiler, L.P., Portone, T., Krofcheck, D.J., & Krofcheck, D.J. (2020). Treatment Model Design and Use [Presentation]. https://www.osti.gov/biblio/1783073

Valicka, C.G., Staid, A., & Staid, A. (2020). Routing of an Unmanned Vehicle for Classification [Conference Poster]. https://www.osti.gov/biblio/1782778

Lofstead, G.F., Mitchell, J.A., Chen, E., & Chen, E. (2020). Stitch It Up: Using Progressive Data Storage to Scale Science [Conference Poster]. Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088891828&origin=inward

Morford-Oberst, M. (2020). Scribe3D: An Advanced Tabletop Tool [Presentation]. https://www.osti.gov/biblio/1786296

Hughes, C., Hammond, S., Bachman, W.B., Bachman, W.B., & Bachman, W.B. (2020). Vanguard II Technical Advisory Team (TAT) [Presentation]. https://www.osti.gov/biblio/1786280

Kouri, D.P., Surowiec, T.M., & Surowiec, T.M. (2020). Epi-regularization of risk measures. Mathematics of Operations Research, 45(2), pp. 774-795. https://doi.org/10.1287/moor.2019.1013

Swiler, L.P., Portone, T., Beyeler, W.E., & Beyeler, W.E. (2020). Uncertainty analysis of Resource Demand Model for Covid-19. https://doi.org/10.2172/1630395

Acer, S., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2020). SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-based systems [Conference Poster]. https://www.osti.gov/biblio/1783066

Behzadinasab, M., Bazilevs, Y., Trask, N.A., & Trask, N.A. (2020). A unified higher-order meshfree framework for peridynamic correspondence modeling. Part I: development of a stable formulation in the strong form. Arxiv. https://www.osti.gov/biblio/1668361

Kotulski, J.D., Dang, V., Rajamanickam, S., & Rajamanickam, S. (2020). ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems [Conference Poster]. https://www.osti.gov/biblio/1783676

Feinberg, B., Heyman, B.C., Mikhailenko, D., Wong, R.M., Ho, A.C., Ipek, E., & Ipek, E. (2020). Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads [Conference Poster]. Proceedings - International Symposium on Computer Architecture. https://doi.org/10.1109/ISCA45697.2020.00091

Gorodetsky, A.A., Geraci, G., Eldred, M., Jakeman, J.D., & Jakeman, J.D. (2020). A generalized approximate control variate framework for multifidelity uncertainty quantification. Journal of Computational Physics, 408. https://doi.org/10.1016/j.jcp.2020.109257

Barrett, R.F., Cook, J., Olivier, S.L., Aaziz, O., Jenkins, C., Vaughan, C.T., & Vaughan, C.T. (2020). Exploring chapel productivity using some graph algorithms [Conference Poster]. Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020. https://doi.org/10.1109/IPDPSW50202.2020.00114

Bachman, W.B., Wildey, T., McCann, S., & McCann, S. (2020). sMF-BO-2CoGP: A sequential multi-fidelity constrained Bayesian optimization framework for design applications. Journal of Computing and Information Science in Engineering, 20(3). https://doi.org/10.1115/1.4046697

Shadid, J.N. (2020). A multilevel approach for trace system in HDG discretizations. Journal of Computational Physics, 407(C). https://doi.org/10.1016/j.jcp.2020.109240

Bachman, W.B., Ngai, S., Yuan, S., Tang, W., & Tang, W. (2020). Orthogonal Polynomials Defined by Self-Similar Measures with Overlaps. Experimental mathematics, 31(3), pp. 1026-1038. https://doi.org/10.1080/10586458.2020.1743214

Blume-Kohout, R.J. (2020). Not All Benchmarks Are Created Equal [Conference Poster]. https://www.osti.gov/biblio/1775058

Maniaci, D.C., Bachman, W.B., Geraci, G., Seidl, D.T., Herges, T.G., Eldred, M., Blaylo, M.L., Houchens, B.C., & Houchens, B.C. (2020). Verification Validation and Uncertainty Quantification (V&V/UQ) of Wind Plant Models Project Overview of FY20 Q2 Milestone Completion: Wind Uncertainty Quantification Session and Publications [Presentation]. https://www.osti.gov/biblio/1778659

Carvey, B.J. (2020). Paraview - Houdini FX -VR [Conference Poster]. https://www.osti.gov/biblio/1780955

Lofstead, G.F. (2020). Containers and Data-Centric Computing [Conference Poster]. https://www.osti.gov/biblio/1779042

Morrison, B., Baczewski, A.D., Lutz, J., Metodi, T.S., Landahl, A.J., & Landahl, A.J. (2020). A Full Application Stack Approach to the Variational Quantum Eigensolver for Electronic Structure Calculations [Presentation]. https://www.osti.gov/biblio/1775059

Bandlow, A., Bauer, T.L., Crossno, P.J., Garcia, R.J., Astuto Gribble, L., Hernandez, P.M., Martin, S., McClain, J.T., Patrizi, L., & Patrizi, L. (2020). Rapid Response Data Science for COVID-19. https://doi.org/10.2172/1763559

Klise, K.A., Bynum, M., & Bynum, M. (2020). Facility Location Optimization Model for COVID-19 Resources. https://doi.org/10.2172/1617839

Moreland, K. (2020). VTK-m Update 2020 [Conference Poster]. https://www.osti.gov/biblio/1780583

Frank, M.P., Lewis, R.M., Missert, N., Shukla, K., & Shukla, K. (2020). Asynchronous Ballistic Reversible Computing using Superconducting Elements [Presentation]. https://www.osti.gov/biblio/1775317

Aadithya, K.V., Kuberry, P., Keiter, E., Bochev, P., Mar, A., Mei, T., Paskaleva, B.S., Leeson, K.M., & Leeson, K.M. (2020). Using ML to Develop Compact Models [Presentation]. https://www.osti.gov/biblio/1779603

Crossno, P.J., Gittinger, J., Hunt, W.L., Letter, M., Martin, S., Sielicki, M., & Sielicki, M. (2020). Slycat? Ensemble Analytics [Conference Poster]. https://www.osti.gov/biblio/1778153

Thompson, A.P., Wood, M.A., Cangi, A., Desjarlais, M.P., Tranchida, J., & Tranchida, J. (2020). Improving the accuracy of spin-lattice simulations with machine-learning interatomic potentials [Conference Poster]. https://www.osti.gov/biblio/1778150

Moreland, K., Quammen, C., & Quammen, C. (2020). What's New in ParaView (2020) [Presentation]. https://www.osti.gov/biblio/1778872

Ang, J., Sweeney, C., Wolf, M., Ellis, J.A., Ghosh, S., Kagawa, A., Huang, Y., Rajamanickam, S., Ramakrishnaiah, V., Schram, M., Yoo, S., & Yoo, S. (2020). ECP Report: Update on Proxy Applications and Vendor Interactions. https://doi.org/10.2172/1608914

Feinberg, B., Heyman, B., Mikhailenko, D., Wong, R.M., Ho, A., Ipek, E., & Ipek, E. (2020). Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads [Conference Poster]. https://doi.org/10.1109/ISCA45697.2020.00091

Morrison, B., Landahl, A.J., Lobser, D., Rudinger, K.M., Russo, A., van der Wall, J.W., Maunz, P.L.W., & Maunz, P.L.W. (2020). Just Another Quantum Assembly Language (Jaqal(TM)) [Conference Poster]. https://www.osti.gov/biblio/1781766

Bennett, C., Xiao, T.P., Dellana, R., Feinberg, B., Agarwal, S., Marinella, M., Agrawal, V., Prabhakar, V., Ramkumar, K., Hinh, L., Saha, S., Raghavan, V., Chettuvetty, R., & Chettuvetty, R. (2020). Device-aware inference operations in SONOS nonvolatile memory arrays [Conference Poster]. IEEE International Reliability Physics Symposium Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087332324&origin=inward

Katzenmeyer, A.M., Dmitrovic, S., Baczewski, A.D., Bussmann, E., Lu, T., Anderson, E.M., Schmucker, S.W., Ivie, J.A., de Campbell, A., Ward, D., Wang, G.T., Misra, S., & Misra, S. (2020). Photothermal alternative to device fabrication using atomic precision advanced manufacturing techniques. Proceedings of SPIE - The International Society for Optical Engineering, 11324. https://doi.org/10.1117/12.2551455

Leonard, F., Sarovar, M., Young, S.M., & Young, S.M. (2020). Design of High-Performance Photon-Number-Resolving Photodetectors Based on Coherently Interacting Nanoscale Elements. ACS Photonics, 7(3), pp. 821-830. https://doi.org/10.1021/acsphotonics.9b01754

Asaad, S., Mourik, V., Joecker, B., Johnson, M.A.I., Baczewski, A.D., Firgau, H.R., Madzik, M.T., Schmitt, V., Pla, J.J., Hudson, F.E., Itoh, K.M., McCallum, J.C., Dzurak, A.S., Laucht, A., Morello, A., & Morello, A. (2020). Coherent electrical control of a single high-spin nucleus in silicon. Nature, 579(7798), pp. 205-209. https://doi.org/10.1038/s41586-020-2057-7

D'Elia, M., Parks, M.L., Pang, G., Karniadakis, G., & Karniadakis, G. (2020). Nonlocal Physics-Informed Neural Networks: A unified theoretical and computational framework for nonlocal models [Conference Poster]. https://www.osti.gov/biblio/1772713

Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2020). Calibration Propagation and Validation of Model Discrepancy Across Experimental Settings [Conference Poster]. https://www.osti.gov/biblio/1769563

Bachman, W.B., Bachman, W.B., Hammond, S., & Hammond, S. (2020). Experiences Scaling a Production Arm Supercomputer to Petaflops and Beyond [Presentation]. https://www.osti.gov/biblio/1771454

Vineyard, C.M., Aimone, J.B., Severa, W., Plagge, M., Reichardt, T.A., Sornborger, A., & Sornborger, A. (2020). SEEK - Scoping neuromorphic architecture impact enabling advanced sensing capabilities [Presentation]. https://www.osti.gov/biblio/1772874

Maunz, P.L.W., Blain, M., Clark, S.M., Landahl, A.J., Lobser, D., Morrison, B., Pehr, J.M., Revelle, M., Rudinger, K.M., Russo, A., Ruzic, B., Yale, C.G., & Yale, C.G. (2020). Quantum Testbed for Science: Quantum Scientific Open User Testbed (QSCOUT) [Presentation]. https://www.osti.gov/biblio/1770851

Yamazaki, I., Hoemmen, M.F., Boman, E.G., Elliott, J., Thomas, S., Swirydowicz, K., & Swirydowicz, K. (2020). Low-synchronization orthogonalization schemes for s-step and pipelined Krylov solvers in Trilinos [Conference Poster]. https://doi.org/10.1137/1.9781611976137.11

Bachman, W.B., Furlan, J., Visintainer, R., Garman, M., Pagalthivarthi, K., Cutright, A., Wang, Y., & Wang, Y. (2020). WearGP: A UQ/ML wear prediction framework for slurry pump impellers and casings [Conference Poster]. https://doi.org/10.1115/FEDSM2020-20059

Bachman, W.B., Sun, J., Wang, Y., Liu, D., Wildey, T., & Wildey, T. (2020). Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. arXiv preprint. https://www.osti.gov/biblio/1834331

Parekh, O. (2020). Fundamental Algorithmic Research for Quantum Computing (FAR-QC): Project Overview [Presentation]. https://www.osti.gov/biblio/1882061

Hooper, R., Smith, T.M., Robinson, A., Shadid, J.N., Crockatt, M.M., Shields, S., Bachman, W.B., Swan, M.S., & Swan, M.S. (2020). Comparisons of Collisional Interactions Between Kinetic and Fluid Models [Presentation]. https://www.osti.gov/biblio/1770271

Bertino, J., Bachman, W.B., & Bachman, W.B. (2020). TrackTable_Lightning_Talk_Proposal(UUR) [Conference Poster]. https://www.osti.gov/biblio/1770044

Cangi, A., Baczewski, A.D., Hansen, S.B., & Hansen, S.B. (2020). First-principles Stopping Power in Warm Dense Matte [Conference Poster]. https://www.osti.gov/biblio/1769585

Adams, B.M., Hooper, R., & Hooper, R. (2020). Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact [Conference Poster]. https://www.osti.gov/biblio/1769569

Parks, M.L. (2020). Nonlocal Models and Peridynamics [Presentation]. https://www.osti.gov/biblio/1770834

Hays, P.E., Ames, A., Dellana, R., Kagie, M.J., Scholand, A.J., Severa, W., Shank, J., Vineyard, C.M., & Vineyard, C.M. (2020). Spike Processing for Improved Radiation Tolerance and Low Power Space Missions [Presentation]. https://www.osti.gov/biblio/1770682

Trask, N.A. (2020). Compatible meshfree discretization [Presentation]. https://www.osti.gov/biblio/1773275

Acer, S. (2020). Porting Sphynx to GPU-enabled systems [Presentation]. https://www.osti.gov/biblio/1770833

Siirola, J.D. (2020). Recent developments in Pyomo [Presentation]. https://www.osti.gov/biblio/1771038

Miller, S., Cyr, E.C., Phillips, E., Pawlowski, R., Beckwith, K., Bettencourt, M.T., Cartwright, K.L., Shields, S., & Shields, S. (2020). Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM [Conference Poster]. https://www.osti.gov/biblio/1770844

Blume-Kohout, R.J., Proctor, T.J., Young, K.C., Nielsen, E., Rudinger, K.M., & Rudinger, K.M. (2020). Quantum Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1770538

Parsa, M., Schuman, C., Date, P., Rose, D., Kay, B., Mitchell, J.P., Young, S., Dellana, R., Severa, W., Potok, T., Roy, K., & Roy, K. (2020). Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment [Conference Poster]. https://doi.org/10.1109/IJCNN48605.2020.9206872

Parekh, O. (2020). Quantum Optimization and Learning and Simulation (QOALAS): Project Overview [Presentation]. https://www.osti.gov/biblio/1884115

Nicholson, B.L., Thierry, D., Parker, R., Eslick, J., Ma, J., le, Q.M., Bhattacharyya, D., Biegler, L., & Biegler, L. (2020). Dynamic Modeling and Optimization of Advanced Energy Systems [Presentation]. https://www.osti.gov/biblio/1770532

Wood, M.A., Stewart, J.A., & Stewart, J.A. (2020). Coupled Experiment and Theory to Explore the Limits of Material Strength at High Strain Rates [Conference Poster]. https://www.osti.gov/biblio/1771448

Weinberg, E., Moore, S.G., & Moore, S.G. (2020). S21976: Exploiting Novel GPU Parallelism in the SNAP Interatomic Potential [Conference Poster]. https://www.osti.gov/biblio/1772721

Bettencourt, M.T. (2020). Toward Exascale Plasma Simulations Using Particle in Cell Algorithms [Conference Poster]. https://www.osti.gov/biblio/1771054

Johnson, N., Kolda, T.G., Phipps, E.T., & Phipps, E.T. (2020). Streaming Tensors [Presentation]. https://www.osti.gov/biblio/1770553

Taylor, M.A. (2020). Cloud-resolving Climate Modeling of the Earth?s Water Cycle [Conference Poster]. https://www.osti.gov/biblio/1770550

Siirola, J.D., Burgard, A., & Burgard, A. (2020). Applications Driving IDAES Process Systems Engineering Framework Capabilities [Presentation]. https://www.osti.gov/biblio/1770852

Hart, J.L. (2020). Hyper-Differential Sensitivity Analysis: Managing High Dimensional Uncertainty in Large-Scale Optimization [Presentation]. https://www.osti.gov/biblio/1773277

Chance, F.S. (2020). Not all computer bugs are bad: What can we learn from insects for neural-inspired computing? [Presentation]. https://www.osti.gov/biblio/1772539

Lischke, A., Pang, G., Gulian, M., Song, F., Glusa, C., Zheng, X., Mao, Z., Cai, W., Meerschaert, M.M., Ainsworth, M., Karniadakis, G.E., & Karniadakis, G.E. (2020). What is the fractional Laplacian? A comparative review with new results. Journal of Computational Physics, 404. https://doi.org/10.1016/j.jcp.2019.109009

Dosanjh, M.G.F., Grant, R., Schonbein, W., Bridges, P.G., & Bridges, P.G. (2020). Tail queues: A multi-threaded matching architecture. Concurrency and Computation: Practice and Experience, 32(3). https://doi.org/10.1002/cpe.5158

Gunther, S., Ruthotto, L., Schroder, J.B., Cyr, E.C., Gauger, N.R., & Gauger, N.R. (2020). Layer-Parallel Training of Deep Residual Neural Networks. SIAM Journal on Mathematics of Data Science, 2(1), pp. 1-23. https://doi.org/10.1137/19M1247620

Rodriguez, J.S., Laird, C., Zavala, V.M., & Zavala, V.M. (2020). Scalable preconditioning of block-structured linear algebra systems using ADMM. Computers and Chemical Engineering, 133(C). https://doi.org/10.1016/j.compchemeng.2019.06.003

Vollmer, C., Tucker, J.D., Martinez, M.T., Jimenez, E.S., Davies, R.W., Dalton, G., & Dalton, G. (2020). Integrating Physics through Machine Learning Loss [Conference Poster]. https://www.osti.gov/biblio/1767375

Boman, E.G., Anzt, H., Dongarra, J., Gates, M., Rajamanickam, S., Tomov, S., & Tomov, S. (2020). CLOVER [Conference Poster]. https://www.osti.gov/biblio/1765517

Nielsen, E., Blume-Kohout, R.J., Proctor, T.J., Rudinger, K.M., Young, K.C., & Young, K.C. (2020). Hold the onion: using fewer circuits to characterize your qubits [Conference Poster]. https://www.osti.gov/biblio/1767376

Fox, J.S., Rajamanickam, S., & Rajamanickam, S. (2020). How Robust are Graph Neural Networks to Structural Noise? [Conference Poster]. https://www.osti.gov/biblio/1765311

Cangi, A. (2020). First-principles Modeling of Warm Dense Matter [Presentation]. https://www.osti.gov/biblio/1765305

Sunseri, I., van Bloemen Waanders, B.G., Hart, J.L., Alexandarian, A., & Alexandarian, A. (2020). Hyper-differential sensitivity analysis of PDE-constrained inverse problems [Presentation]. https://www.osti.gov/biblio/1767902

Ibanez-Granados, D.A. (2020). A Hydrodynamic Numerical Method for Next-Generation ALEGRA [Presentation]. https://www.osti.gov/biblio/1765306

Fox, J.S., Rajamanickam, S., & Rajamanickam, S. (2020). How Robust Are Graph Neural Networks to Structural Noise? [Conference Poster]. https://www.osti.gov/biblio/1765316

Gooding, R.L., Draayer, E.C., McMahon, N.D., Stracuzzi, D.J., Anderson, D.Z., & Anderson, D.Z. (2020). Identifying and Clustering Activity in Seismic Waveforms [Conference Poster]. https://www.osti.gov/biblio/1765312