Research

Refereed publications

  1. Rosenberg, L., Fullmer, W., Beetham, S. (2025) A filter-dependent granular temperature model from large-scale CFD-DEM data Submitted to the International Journal of Multiphase Flow (under review).

  2. Beetham, S. (2025) The Fluids Mechanics of Art: A Student-Centered Laboratory to Bring Fluid Instabilities to Life. Proceedings of the ASME 2025 Fluids Engineering Division Summer Meeting. Volume 2: Multiphase Flows Applications; Fluids Applications; Microfluidics; Fluids Mechanics Fundamentals; Fluids Engineering Education. Philadelphia, Pennsylvania, USA. July 27–30, 2025. V002T11A001. ASME. https://doi.org/10.1115/FEDSM2025-157876

  3. Rosenberg, L, & Beetham, S. (2025) The Role of Neutrally-Buoyant Particles in the Modulation of Rayleigh-Bénard Convection. Proceedings of the ASME 2025 Fluids Engineering Division Summer Meeting. Volume 2: Multiphase Flows Applications; Fluids Applications; Microfluidics; Fluids Mechanics Fundamentals; Fluids Engineering Education. Philadelphia, Pennsylvania, USA. July 27–30, 2025. V002T07A010. ASME. https://doi.org/10.1115/FEDSM2025-157904

  4. Beetham, S. (2025) Discovery of Reduced Order Models Using Complexity-Penalized Sparse Regression. Proceedings of the ASME 2025 Fluids Engineering Division Summer Meeting. Philadelphia, Pennsylvania, USA. July 27–30, 2025. V001T01A003. ASME. https://doi.org/10.1115/FEDSM2025-157903

  5. Foster, E., Breard, E. C. P. , Beetham, S. (2025) On the settling and clustering behavior of polydisperse gas-solid flows. Journal of Fluid Mechanics, 1010, A27

  6. Beetham, S., Capecelatro, J. (2023) Multiphase turbulence modeling using sparse regression and gene expression programming. Nuclear Technology. Selected papers from the 12th Japan‑U.S. Seminar on Two‑Phase Flow Dynamics 2022 (special issue).

  7. Beetham, S., Lattanzi, A., Capecelatro, J. (2022) On the thermal entrance length of moderately dense gas‑particle flows. International Journal of Heat and Mass Transfer,182.

  8. Beetham, S., Fox, R.O., Capecelatro, J., (2021) Sparse identification of multiphase turbulence closures for coupled fluid-particle flows. Journal of Fluid Mechanics. 914, A11.

  9. Beetham, S., Capecelatro, J., (2020) Formulating turbulence closures using sparse regression with embedded form invariance. Physical Review Fluids. 5, 084611.

  10. Beetham, S., Capecelatro, J. (2019) Biomass pyrolysis in fully‑developed turbulent riser flow, Renewable Energy. 140, 751‑760.

  11. Verner (Beetham), S.N., Garikipati, K. (2018) A computational study of the mechanisms of growth‑driven folding patterns on shells, with application to the developing brain, Extreme Mechanics Letters. 18, 58‑69. (Cover page article)

  12. Narayanan, H., Verner (Beetham), S.N., Mills, K.L., Kemkemer R., Garikipati K. (2010) In silicon estimates of the free energy rates in growing tumor spheroids, Journal of Physics: Condensed Matter (Special Issue on Cell‑Substrate Interactions) 22(19) 194122.

Note: Student authors are underlined.

Conference proceedings

  1. S. Beetham, K. Zinelis, T. Abadie, G.H. McKinley, O.K. Matar, J. Capecelatro, ”Discovery of viscoelastic constitutive equations using complexity‑penalized sparse regression.” Great Lakes SIAM, Lansing, MI, October 2023

  2. S. Beetham, ”Identification of compact closures for the multiphase RANS equations, with application to strongly‑coupled gas‑solid flows”, National Energy Technology Laboratory Multiphase Flow Workshop, Virtual, August 2023

  3. E. Knaup, M. Knaup, S. Beetham, ”Innovating Cell Counting with Computer Vision”, MidSURE conference, Lansing, MI, July 2023

  4. S. Beetham, J. Capecelatro, ”Sparse identification of multiphase turbulence closures for strongly‑coupled gas‑particle flows” Great Lakes SIAM meeting, Detroit, MI, October 2022

  5. E. Foster, S. Beetham, ”Simulation and modeling of polydisperse settling in gas‑solid flows”, Michigan Space Grant Consortium Fall Conference, Ann Arbor, MI, October 2022

  6. S. Beetham, ”Simulation and modeling of thermally evolving, moderately dense gas‑particle flows”, Society of Interdisciplinary and Applied Mathematics Great Lakes Section Annual Meeting, Wayne State University, September 2022

  7. L. Merrill, N. Lemmons, D. DelVescovo, J. Maisonneuve, S. Beetham, ”Optimizing Algae Cultivation for Carbon Capture and Biodiesel Production” MidSURE conference, Lansing, MI, July 2022

  8. S. Beetham, J. Capceleatro, ”Sparse identification of multiphase turbulence closures for strongly coupled gas‑particle flows”, Japan‑US Seminar on Two‑phase Flow Dynamics, Ann Arbor, MI/Virtual, May 2022

  9. S. Beetham, J. Capecelatro, ”Sparse identification of multiphase turbulence closures for strongly‑coupled gas‑particle flows” American Physical Society—March Meeting, Chicago, IL/Virtual, March 2022

  10. S. Beetham, A. Lattanzi, J. Capecelatro, ”The effect of particle clustering on the thermal entrance length in moderately dense gas‑solid flows”, American Physical Society Annual Meeting of the Division of Fluid Dynamics, Phoenix, AZ/Virtual, November 2021

  11. S. Beetham, A. Lattanzi, J. Capecelatro, ”Simulation and modeling of thermally evolving, moderately dense gas‑particle flows”, NETL 2021 Workshop on Multiphase flow science, Virtual, July 2021

  12. S. Beetham, A. Lattanzi, J. Capecelatro, ”Simulation and modeling of thermally evolving, moderately dense gas‑particle flows ”, EUROMECH Colloquium 621 Virtual, July 2021

  13. S. Beetham, A. Lattanzi, J. Capecelatro, ”Heat transfer in strongly‑coupled gas‑solid flows” American Physical Society, Division of Fluid Dynamics, Chicago, IL (virtual), November 2020

  14. S. Beetham, A. Lattanzi, J. Capecelatro, ”Heat transfer in strongly‑coupled gas‑solid flows” American Institute of Chemical Engineering, San Fransisco, CA (virtual), November 2020

  15. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” American Physical Society, Division of Fluid Dynamics, Seattle, WA, November 2019

  16. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” American Institute of Chemical Engineering, Orlando, FL, November 2019

  17. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” National Energy Technology Laboratory Workshop, Morgantown, WV, August 2019

  18. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” Pan‑American Congress of Applied Mechanics, Ann Arbor, MI, May, 2019

  19. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” American Physical Society, Division of Fluid Dynamics, Atlanta GA, November 2018

  20. S. Beetham, J. Capecelatro, ”Modeling of multiphase turbulence using sparse regression with embedded invariance.” National Energy Technology Laboratory Workshop, Houston TX, August 2018

  21. S. Beetham, K. Garikipati, ”Pattern and morphogenesis of cortical folding.” US Congress for Computational Mechanics, Montreal QC, July 2017

Invited lectures and talks

Sept 2025 ‘To hinder or enhance? The role of polydispersity in clustering and settling behavior’, The University of Michigan, Dearborn, Mechanical Engineering Seminar Series

June 2024 ‘Complexity-penalized sparse regression with application to viscoelastic flow’, Advancing fluid and soft-matter dynamics with machine learning and data science: a conference at University of Wisconsin, Madison

April 2023 ‘Computational Methods and High Performance Computing’, US Military Academy West Point, West Point, NY

November 2022 ‘Women in Science and Engineering and Research (WISER) panel discussion on careers in STEM’, Oakland University, Rochester, MI

June 2022 ‘Using high performance computing to understand how agricultural waste can become biofuel’ BIO 3362: Permaculture, Oakland University, Rochester, MI

April 2022 ‘Computational Methods and High Performance Computing’, US Military Academy West Point, West Point, NY

March 2022 ‘The peculiar nature of particle‑laden turbulence.’ Mathematics and Statistics Colloquium, Oakland University, Rochester, MI

March 2022 ’Using super computers to solve complex problems.’ Undergraduate Research Society, Society of Women Engineers seminar, Oakland University, Rochester, MI

January 2022 ‘The peculiar nature of particle‑laden turbulence.’ Physics Department Colloquium, Oakland University, Rochester, MI

April 2021 ‘Computational Methods and High Performance Computing’, US Military Academy West Point, West Point, NY

March 2020 ‘Learning compact turbulence models with sparse regression’, Lawrence Livermore National Laboratory (cancelled due to COVID pandemic)

Sept 2013 ‘Panelest: Next Generation: Workforce of the Future’, 2013 Michauto Summit, Detroit, MI