A PSAAP-III project funded by the US DOE

We make every effort to support open science. All our preprints are available by either Arxiv, Zenodo, or other repo site. See our zenodo community.

Books

  • R. G. McClarren, Machine Learning for Engineers: Using data to solve problems for physical systems, Springer, ISBN13: 978-3030703875, 2021.

  • C. T. Kelley. Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia. Number 20 in Fundamentals of Algorithms. SIAM, Philadelphia (2022) ISBN 978-1-61197-726-4.

Journal Articles

Conference Publications

  • B. Cuneo and I. Variansyah. “An Alternative to Stride-Based RNG for Monte Carlo Transport.” In Transactions of The American Nuclear Society, volume 130 (1), pp. 423–426 (2024). DOI 10.13182/T130-44927

  • V. Novellino and D. Anistratov, Analysis of Hybrid MC/Deterministic Methods for Transport Problems Based on Low-Order Equations Discretized by Finite Volume Scheme. Transaction of American Nuclear Society, v. 130, 2024 Preprint DOI: 10.48550/arXiv:2403.05673

  • I. Variansyah, J. P. Morgan, J. Northrop K. E. Niemeyer, and R. G. McClarren. “Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2305.13555.

  • I. Variansyah and R. G. McClarren. “High-fidelity treatment for object movement in time-dependent Monte Carlo transport simulations.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2305.07641.

  • I. Variansyah and R. G. McClarren. “An effective initial particle sampling technique for Monte Carlo reactor transient simulations.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2305.07646.

  • E. Smith, I. Variansyah, and R. G. McClarren. “Compressed Dynamic Mode Decomposition for Time-Eigenvalue Calculations.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2208.10942.

  • K. B. Clements, G. Geraci, A. J. Olson, and T. S. Palmer. “Global Sensitivity Analysis in Monte Carlo Radiation Transport.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023).

  • S. Pasmann, I. Variansyah, C. T. Kelley, and R. G. McClarren. “iQMC: Iterative Quasi-Monte Carlo with Krylov Linear Solvers for k-Eigenvalue Neutron Transport Simulations.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI: 0.48550/arXiv.2306.11600.

  • J. P. Morgan, I. Variansyah, T. S. Palmer, and K. E. Niemeyer. “Exploring One-Cell Inversion Method for Transient Transport on GPU.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2305.13555.

  • J. P. Morgan, T. J. Trahan, T. P. Burke, C. J. Josey, and K. E. Niemeyer. “Hybrid-Delta Tracking on a Structured Mesh in MCATK.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint DOI 10.48550/arXiv.2306.07847.

  • K. B. Clements, G. Geraci, and A. J. Olson, A Variance Deconvolution Approach to Sampling Uncertainty Quantification for Monte Carlo Radiation Transport Solvers, in Computer Science Research Institute Summer Proceedings 2021, J.D. Smith and E. Galvan, eds., Technical Report SAND2022-0653R, Sandia National Laboratories, 2021, pp. 293–307. DOI: 10.2172/1855061.

  • I. Variansyah and R. G. McClarren. “An effective initial particle sampling technique for Monte Carlo reactor transient simulations.” In International Conference on Physics of Reactors. Pittsburgh, Pennsylvania, USA (2022).

  • K. B. Clements, G. Geraci, and A. J. Olson. “Numerical Investigation on the Performance of a Variance Deconvolution Estimator.” In American Nuclear Society Annual Meeting. Anaheim, California, United States (2022).

  • D. Y. Anistratov. Analysis of Noise Effects in Hybrid Transport Methods Based on Low-Order Moment Equations The 27th International Conference on Transport Theory (ICTT27), Bertinoro, Italy, July 10-16, 2022.

  • I. Variansyah and R. G. McClarren. “Performance of Population Control Techniques in Monte Carlo Reactor Criticality Simulation.” In International Conference on Physics of Reactors. Pittsburgh, Pennsylvania, USA (2022).

  • E. Smith, I. Variansyah, and R. G. McClarren. “Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems.” In International Conference on Physics of Reactors. Pittsburgh, Pennsylvania, USA (2022).

  • J. P. Morgan, T. S. Palmer, and K. E. Niemeyer. “Automatic Hardware Code Generation for Neutron Transport Applications.” In Transactions of the American Nuclear Society, volume 126, p. 318–320. American Nuclear Society, Anaheim, CA (2022) Preprint DOI: 10.5281/zenodo.6646813 DOI: 10.13182/T126-38137.

  • J. P. Morgan, A. Long, K. Long, and K. E. Niemeyer. “Novel MC TRT Method: Vectorizable Variance Reduction for Energy Spectra.” In Transactions of the American Nuclear Society, volume 126, p. 276–278. American Nuclear Society, Anaheim, CA (2022). Preprint DOI 10.5281/zenodo.6643659.2. DOI 10.13182/T126-38066.

  • K. B. Clements, G. Geraci, and A. J. Olson. “Numerical Investigation on the Performance of a Variance Deconvolution Estimator.” In In Transactions of the American Nuclear Society, volume 126, p. 344-347. Anaheim, California, United States (2022). DOI 10.13182/T126-38365.

  • J. Northrop, C. Palmer, and A. J. Reynolds. “Inter-code Comparison of Time Independent Pulsed Sphere Benchmark Results.” In Transactions of the American Nuclear Society, volume 126. p. 334-337 American Nuclear Society, Anaheim, CA (2022). Preprint DOI: 10.5281/zenodo.7250603 DOI 10.13182/T126-38312.

  • D. Siefman, S. Coleman, J. Northrop, W. Zywiec, J. Holmes, M. Zerkle, D. Heinrichs, and C. Percher. “Pulsed-Neutron Die-Away Experiments for Plastics and Neutron Thermal Scattering Laws.” In 15th International Conference on Nuclear Data for Science and Technology (ND2022). Sacramento, CA (2022). Preprint DOI: 10.5281/zenodo.7255291.

  • S. Pasmann, I. Variansyah, and R. G. McClarren. “Convergent Transport Source Iteration Calculations with Quasi-Monte Carlo.” In Transactions of the American Nuclear Society, volume 124, pp. 192–195. American Nuclear Society (2021).

  • K. B. Clements, G. Geraci, and A. J. Olson, A Variance Deconvolution Approach to Sampling Uncertainty Quantification for Monte Carlo Radiation Transport Solvers, in Computer Science Research Institute Summer Proceedings 2021, J.D. Smith and E. Galvan, eds., Technical Report SAND2022-0653R, Sandia National Laboratories, 2021, pp. 293–307. DOI 10.2172/1855061.

  • A. J. Reynolds, & T. S. Palmer. Verification and Scaling of Time-Dependent Shift Using the AZURV1 Benchmark. In Transactions of the American Nuclear Society, volume 126. p. 310-313. Anaheim, California, United States (2020) Preprint DOI 10.5281/zenodo.7222601 DOI 10.13182/T126-38060.

Courses and Teaching Materials

  • K. E. Niemeyer. Software Development for Engineering Research. ME 599. Offered concurrently at Oregon State University, University of Notre Dame, and North Carolina State University Winter Quarter of 2022, Course Materials available online. URL https://github.com/SoftwareDevEngResearch

  • A. J. Reynolds. Applications of Parallel Computing. NSE 599. Oregon State University. Winter Quarter 2021.

Software, Data, and Collections

Dissertations and Theses

  • Alexander Mote. Neurons for Neutrons: A Transformer Model for Computation Load Estimation on Domain-Decomposed Neutron Transport Problems. Masters of Science Thesis. School of Computer Science and Engineering, Oregon State University, Corvallis, OR USA. May 30 2024. online

  • Samual Passman. Development of the iterative-Quasi-Monte Carlo (iQMC) Method for Neutron Transport Simulations. Ph.D. dissertation. Department of Aerospace and Mechanical Engineering, University of Noter Dame, South Bend, IN, USA, 2024

  • Jordan Northrop. Variance Reduction for Time-Dependent Monte Carlo Neutron Transport. Masters of Science Thesis, School of NSE, Oregon State University, Corvallis, OR 2024

  • Braxton Cuneo. Divergence Reduction and Dependency Management in GPU Programs using Asynchronous Work Scheduling, Ph.D dissertation, School of Computer Science, Oregon State University, Corvallis, OR 2022, Available: online

  • Joanna Piper Morgan. Explorations of Monte Carlo Solution and Implementation Methods for Thermal Radiation and Neutron Transport, M.S. project report, School of MIME, Oregon State University, Corvallis, OR 2022, Available: online

  • Jordan Northrop. Inter-code Comparison of Time Independent Pulsed Sphere Benchmark Results, Honors B.S. thesis, School of NSE, Oregon State University, Corvallis, OR 2022, Available: online

Presentations

  • J. P. Morgan and K. E. Niemeyer. Monte Carlo/Dynamic Code: Performant and Portable High-Performance Computing at Scale via Python and Numba. Proceedings of the 23rd Python in Science Conference July 12 2024. Tachoma, WA, USA. DOI 10.25080/cdrf9272

  • C. T. Kelley. Newton’s Method in Three Precisions. 18th Copper Mountain Conference On Iterative Methods. Copper Mtn., CO, USA. (April 2024).

  • D. Y. Anistratov. Stability Analysis of Two-Level Nonlinear Acceleration Method for the Linear Boltzmann Transport Equation. 18th Copper Mountain Conference On Iterative Methods. Copper Mtn., CO, USA. (April 2024).

  • J. P. Morgan, I. Variansyah, T. S. Palmer, and K. E. Niemeyer. Exploring One-Cell Inversions for Transient Transport on GPUs. 18th Copper Mountain Conference On Iterative Methods. Copper Mtn., CO, USA. (April 2024).

  • B. Cuneo. Abstracting and Accelerating GPU Processing through an Async Programming Interface. 3rd Scientific Software Sustainability Conference (S3C) at National Laboratories Information Technology (NLIT) Summit. Seattle, WA, USA (April 2024).

  • J. P. Morgan, I. Variansyah, B. Cuneo, T. S. Palmer, and K. E. Niemeyer. High Performance Python for Rapid Methods Development in Monte Carlo / Dynamic Code. 3rd Scientific Software Sustainability Conference (S3C) at National Laboratories Information Technology (NLIT) Summit. Seattle, WA, USA (April 2024). Available

  • J. P. Morgan, I. Variansyah, B. Cuneo, T. S. Palmer, and K. E. Niemeyer. Acceleration and Abstraction of Python based Monte Carlo Compute Kernels for Heterogeneous machines via Numba. NUWEST, Albuquerque, NM unable to attend due to weather.

  • I. Variansyah and B. Cuneo. “MC/DC+Harmonize: JIT Compilation & Asynchronous GPU scheduling” The Monte Carlo Computational Summit. University of Noter Dame South Bend, IN (October 2023) Available

  • I. Variansyah, J. P. Morgan, K. E. Niemeyer, and R. G. McClarren. “Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023). []

  • I. Variansyah and R. G. McClarren. “High-fidelity treatment for object movement in time- dependent Monte Carlo transport simulations.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023).

  • I. Variansyah and R. G. McClarren. “An effective initial particle sampling technique for Monte Carlo reactor transient simulations.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023).

  • E. Smith, I. Variansyah, and R. G. McClarren. “Compressed Dynamic Mode Decomposition for Time-Eigenvalue Calculations.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023).

  • K. B. Clements, G. Geraci, A. J. Olson, and T. Palmer. “Global Sensitivity Analysis in Monte Carlo Radiation Transport.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023).

  • S. Pasmann, I. Variansyah, C. T. Kelley, and R. G. McClarren. “iQMC: Iterative Quasi-Monte Carlo with Krylov Linear Solvers for k-Eigenvalue Neutron Transport Simulations.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023).

  • J. P. Morgan, I. Variansyah, T. S. Palmer, and K. E. Niemeyer. “Exploring One-Cell Inversion Method for Transient Transport on GPU.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023) DOI 10.5281/zenodo.10511837

  • C. T. Kelley, “Anderson Acceleration for Nonsmooth Problems.” (2021). Minisymposium on Advances in Nesterov and Anderson acceleration with applications in machine learning, SIAM Conference on Computation Science and Engineering.

  • C. T. Kelley, “Newton’s method in mixed precision.” (2021). HKBU Mathematics Conference for Faculty of Science 60th Anniversary, Hong Kong Baptist University

  • C. T. Kelley, “Anderson Acceleration: Convergence Theory and Numerical Experience.” (2022). Applied and Computational Mathematics Division Seminar Series, National Institute of Standards and Technology.

  • J. P. Morgan, T. S. Palmer, & K. E. Niemeyer, “Python Development Schemes for Monte Carlo Neutronics on High Performance Computing.”, Scientific Python, Austin, Texas, USA, (July 2022) DOI 10.25080/majora-212e5952-034

  • K. B. Clements, G. Geraci, and A. J. Olson, A Variance Deconvolution Approach to Sampling Uncertainty Quantification for Monte Carlo Radiation Transport Solvers, Annual Meeting of the American Nuclear Society, Anaheim, California, USA, (June 2022)

  • K. B. Clements, G. Geraci, and A. J. Olson. “Numerical Investigation on the Performance of a Variance Deconvolution Estimator.” In American Nuclear Society Annual Meeting. Anaheim, California, United States (June 2022).

  • J. P. Morgan, T. S. Palmer, & K. E. Niemeyer, “Hardware Code Generation Techniques for Accelerating Python”, Annual Meeting of the American Nuclear Society, Anaheim, California, USA, (June 2020) DOI. 10.5281/zenodo.6646833

  • J. P. Morgan, A. Long, K. Long, and K. E. Niemeyer. “Novel MC TRT Method: Vectorizable Variance Reduction for Energy Spectra.” Annual Meeting of the American Nuclear Society, Anaheim, CA (June 2022). DOI 10.2172/1821347

  • A. J. Reynolds and T. S. Palmer, “Verification and Scaling of Time-Dependent Shift Using the AZURV1 Benchmark”, American Nuclear Society Annual Meeting, Anaheim, CA, June 2022.

  • A. J. Reynolds and T. S. Palmer, “Introduction to an MCGIDI Mini-App and Performance Comparisons with XSBench”, Tech. Rep. LLNL-SR-837024. Lawrence Livermore National Laboratory, 2022.

Poster Presentations

  • J. P. Morgan, T. J. Trahan, T. P. Burke, C. J. Josey, and K. E. Niemeyer. “Hybrid-Delta Tracking on a Structured Mesh in MCATK.” International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (August 2023). DOI 10.5281/zenodo.10511913

  • J. P. Morgan, I. Variansyah, T. S. Palmer, and K. E. Niemeyer. “Exploring One-Cell Inversion Method for Transient Transport on GPU.” High Energy Density Summer School, San Diego, California. (July 2023) DOI 10.5281/zenodo.10515702.

  • K. B. Clements, G. Geraci, & A. Olson. A Variance Deconvolution Approach to Uncertainty Quantification for Monte Carlo Radiation Transport. Society for Industrial and Applied Mathematics Conference on Uncertainty Quantification (SIAM UQ22), Atlanta, Georgia (Hybrid virtual). (April 2022) DOI. 10.5678/1234321