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Jeffrey De'Haven Hyman

Jeffrey Hyman

Phone (505) 665-2074


  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Mathematics
  • Algorithms
  • Computational fluid dynamics (CFD)
  • Subsurface flow simulation
  • Applied Math
  • Mesh generation
  • Direct Numerical Simulations (DNS)
  • Uncertainty quantification
  • Uncertainty analysis
  • Network modeling
  • Earth and Space Sciences
  • Geoscience
  • Geophysics
  • Subsurface flow and transport
  • Hydrology
  • Computer and Computational Sciences
  • Machine learning,
  • Earth and Space Sciences
  • Computational Physics and Applied Mathematics
  • Stochastic simulations
  • Discrete Fracture Networks
  • Lattice Boltzmann method
  • Earth and Space Sciences
  • FEHM: Finite-Element Heat and Mass-Transfer
  • Art & Design
  • Process animation and motion graphics
  • Image enhancement


  • Graph / Network Theory
  • Physics Informed Machine Learning
  • Computational Geometry and Mesh Generation


Ph.D (2014) Applied Mathematics, Univ. of Arizona, Tucson, AZ
Dissertation Title : Heterogeneities and Structures in Flows through Porous Microstructures
Primary Advisor : Dr. C. Larrabee Winter
PhD. Minor (2014) Hydrology and Water Resources
Minor Advisor : Dr. Shlomo P. Neuman 
M.S. (2010) Applied Mathematics, Univ. of Arizona, Tucson, AZ
Advisor Dr. C. Larrabee Winter
Post-Baccalaureate (2008-2009) Portland State Univ., Portland, OR
B.A. (2007) St. Olaf College Northfield, MN
Majors: Mathematics, Ancient Studies, and Religion
Advisor : Dr. Matthew Richey and Mathematic

LANL Positions

Staff Sciencist  2017-Present

Computational Earth Science (EES-16)

Director's Postdoctoral Fellow 2015-2017

GroupsComputational Earth Science (EES-16)  and the Center for Non-Linear Studies (CNLS)

Mentors : Hari Viswanathan (EES-16), Gowri Srinivasan (T-5), and Jamal Mohd-Yusof (CCS-7)

Postdoctoral Researcher 2014-2015

GroupsComputational Earth Science (EES-16)  and the Center for Non-Linear Studies (CNLS)

Graduate Intern in EES-16 (2011)
Supervisors : Dr. Scott Painter and Dr. Carl Gable



Professional Societies

Society for Industrial and Applied Mathematics (SIAM)

American Geophysical Union (AGU)





2017 - LANL Distinguished Performance Award : Small team

2017- dfnWorks R&D 100 Winner

2015 - Director's Postdoctorial Fellowship

2015 - Fraunhofer Award for Young Researchers from the International Society for Porous Media (InterPore)

2014 - Applied Mathematics Program’s Galileo Circle Scholar
2013 - Outstanding Graduate Teaching Assistant Award Univ. of Arizona Dept. of Mathematics
2012 - The Advanced Study Program at the National Center for Atmospheric Research, Boulder, CO
Supervisor : Dr. Piotr Smolarkiewicz
2009- 2010 NSF-VIGRE Fellowship


Google Scholar Page

Selected Publications:

J. D. Hyman, C. W. Gable, S. L. Painter, and N. Makedonska. Conforming Delaunay triangulation of stochastically generated three dimensional discrete fracture networks: A feature rejection algorithm for meshing strategy. SIAM J. Sci. Comput., 36(4):A1871– A1894, 2014

J. D., Hyman, Dentz, M., Hagberg, A., & Kang, P. K. Linking structural and transport properties in three‐dimensional fracture networks. Journal of Geophysical Research: Solid Earth. 2019


R.S. Middleton, J.W. Carey, R.P. Currier, J. D. Hyman, Q. Kang, S. Karra, J. Jiménez- Martinez, M.L. Porter, and H.S. Viswanathan. Shale gas and non-aqueous fracturing fluids: Opportunities and challenges for supercritical CO2. Applied Energy, 147:500–509, 2015

J. D. Hyman, J Jiménez-Martınez, HS Viswanathan, JW Carey, ML Porter, E Rougier, S Karra, Q Kang, L Frash, L Chen, et al. Understanding hydraulic fracturing: a multi-scale problem. Phil. Trans. R. Soc. A, 374(2078):20150426, 2016

J. D. Hyman, S. Karra, N. Makedonska, C. W Gable, S. L Painter, and H. S Viswanathan. dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. Computers & Geosciences, 84:10–19, 2015

J. D. HymanHagberg, A., Osthus, D., Srinivasan, S., Viswanathan, H., & Srinivasan, G. (2018). Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. Multiscale Modeling & Simulation, 16(4), 1948-1968.

M. Valera, Z. Guo, P. Kelly, S. Matz, A. Cantu, A.G. Percus, J. D. Hyman, G. Srinivasan, and H.S. Viswanathan. Machine learning for graph-based representations of three-dimensional discrete fracture networks. Computational Geosciences, 2018