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

  • 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.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada (2023). Preprint
  • 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).
  • 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).
  • 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).
  • 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).
  • K. B. Clements, G. Geraci, A. J. Olson, and T. 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).
  • 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
  • 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
  • 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. Preprint
  • 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).
  • 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, 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
  • A. J. Reynolds, & T. S. Palmer. Verification and Scaling of Time-Dependent Shift Using the AZURV1 Benchmark. Transactions of the American Nuclear Society, 126. (2020) Preprint
  • 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). URL Preprint.
  • 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. American Nuclear Society, Anaheim, CA (2022). URL Preprint.
  • 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). URL https://doi.org/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).

Courses and Teaching Materials

Software, Data, and Collections

Theses and Dissertations

  • 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

  • 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

Presentations

  • 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

M&C 2023

  • 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 Engineeering.

  • 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

ANS Annual

  • 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, 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

  • 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

  • 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