bbaker.jpg

Benjamin Baker, Ph.D. (Analyst)
Is a neutronics analyst at INL in the Reactor Physics Division. Ben has worked on modeling transients for the TREAT and NRAD reactors. He is also building the reactivity computer for TREAT operations. Most of Ben’s experience has been in the experimental field. He did a post-doc for NNSA in the Safeguards division looking at noise on cables for tampering detection. His Ph.D. compared the open and closed loop methods of determining reactivity and showed that they were equivalent in their ability to achieve the theoretical minimum uncertainty. He also experimentally determined a reactor transfer function using perturbation techniques and has performed several reactor noise experiments. All degrees were obtained at Idaho State University.

mdehart.jpg

Mark DeHart, Ph.D. (Team Lead)
Is a senior reactor physicist at INL, leading R&D and analysis supporting Transient Reactor Test Facility (TREAT) and Advanced Test Reactor (ATR) missions. He holds Bachelor's, Master's and PhD degrees in Nuclear Engineering from Texas A&M University, is the immediate past chair of the Idaho Section of ANS, and was recently elected Fellow of the American Nuclear Society. He joined INL in 2010 after 17 years at Oak Ridge National Laboratory, where he worked in both methods and analysis related to criticality safety, burnup credit, data validation, and reactor physics. He is the primary author of the NEWT lattice physics code and the TRITON depletion sequence within the SCALE code system, and led development of modern lattice physics methods at ORNL. He is currently the Deputy Director for Reactor Physics Modeling and Simulation in the INL Nuclear Science and Technology Directorate. Dr. DeHart is also the PI and project manager for development of advanced modeling and simulation capabilities to support restart and operation of TREAT, under the DOE/NE Advanced Modeling and Simulation program (NEAMS). Dr. DeHart is a member of the OECD/NEA Working Party for Scientific Issues of Reactor Safety as one of its two US delegates and is a Task Leader within the OECD/NEA Expert Group on Multi-Physics for Experimental Data, Benchmarks and Validation (EGMPEBV). He is chair of the ANS 19.5 Standards Committee on Requirements for Reference Reactor Physics Measurements.

fgleicher.jpg

Frederick Gleicher, Ph.D. (Developer and Analyst)
Joined INL in 2008 after graduating with his Ph.D. to work on coupling nodal diffusion and transport methods to create hybrid methods for control rod treatment for modeling the Pebble Bed HTGR. From there Dr. Gleicher joined the Moose Applications for Radiation Transport Methods Investigations and Analysis Unit (MARTINEAU) to couple the fuels performance application BISON to independent external 2D/1D transport codes (MPACT and DeCART). Past work also includes coupling the fuels performance application BISON to the core neutronics application Rattlesnake under MAMMOTH, and supporting the on-going development of Rattlesnake such as implementing the Spherical Harmonic (PN) Self Adjoint Angular Flux Formulation in RATTLESNAKE. Dr. Gleicher is currently working on the extending coupling multi-physics coupling to the MOOSE radiation transport code Rattlesnake, and working on multi-physics models for the restart of the TREAT reactor.

zkarriem.jpg

Zain Karriem, Ph.D. (Analyst)
Holds a M.Sc. in Nuclear Physics from the University of the Western Cape (South Africa) and earned his Ph.D. in Nuclear Engineering from the Pennsylvania State University. His work and research areas are in deterministic- and Monte Carlo particle transport simulation, transport methods development and nuclear reactor physics analysis. Zain has more than16 years’ experience in nuclear engineering which include physics and particle transport analysis for: commercial PWR plants, the 20 MW SAFARI-1 research reactor (Necsa, South Africa), the high temperature Pebble Bed Modular Reactor (PBMR, South Africa), the NuScale Small Modular Reactor and the Advanced Test Reactor (ATR).

Zain joined the INL in 2015 and presently working on physics analysis for the Low Enrichment Uranium (LEU) conversion program of the ATR and restart of the Transient Reactor Test Facility (TREAT).

vlaboure.jpg

Vincent Laboure, Ph.D. (Developer and Analyst)
Vincent has been a Postdoctoral Computational Nuclear Engineering Research Associate with Idaho National Laboratory (INL) since October 2016. He is involved as a developer of Rattlesnake, the transport solver at the INL based on the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework. He has a Master's degree in General Engineering from Mines Paristech in Paris, France, and a Ph.D. in Nuclear Engineering from Texas A&M University. Long term, his interests are directed toward multiphysics computational research addressing critical energy issues, including neutronics, thermohydraulics and energy storage.

jortensi.jpg

Javier Ortensi, Ph.D. P.E. (Developer and Analyst)
Joined INL in 2008 and started working in the MAMMOTH team in 2013. He holds an M.S. in Nuclear Engineering from Texas A&M University and a Ph.D. in Applied Science and Engineering from Idaho State University. Early work was in particle accelerators, charged particle interactions and radiation damage. Recent work is focused on reactor analysis, with emphasis in high temperature reactors and TREAT. Currently leads the OECD/NEA benchmark on coupled neutronics and thermal-fluids analysis of the MHTGR-350.

Sebastian Schunert, Ph.D.  (Developer)
Began his academic studies in mechanical engineering at the University of Braunschweig, Germany, graduating with a master's degree in 2009.
He switched his focus to numerical radiation transport and reactor physics when continuing his education at the North Carolina State University and received his
PhD in 2013 on spatial discretization methods of the first order SN equations.
He has joined the Rattlesnake/MAMMOTH team in spring 2014 as post-doctoral researcher and switched to becoming a permanent staff member in spring of 2015 mostly
focusing on method's development and implementation in the Rattlesnake and MAMMOTH codes.

cwang.jpg

Congjian Wang, Ph.D.  (Developer and Analyst)
Joined INL in April 2015 as a Postdoctoral Associate. He is helping develop tools and methodologies for uncertainty quantification and validation for multi-physics simulations. His research interests include sensitivity and uncertainty analysis, generalized perturbation theory, reduced order modeling, data mining and probabilistic risk assessment. He has a Bachelor’s degree in Engineering Physics from Tsinghua University, Beijing, China, and Ph. D. degrees in Nuclear Engineering from North Carolina State University, Raleigh. 

ywang.jpg

Yaqi Wang, Ph.D. (Developer)
Obtained a Bachelor's degree in Nuclear Engineering in 1996 from Tsinghua University, China. He worked as a research scientist for INET (Institute of Nuclear and New Energy Technology) for 8 years before he joined the Texas A&M University in 2004. He developed a on-line core monitoring system for the heating reactor by using ex-core ion-chambers supported by the National Science Foundation of China at INET. He obtained a Master's degree in Nuclear Engineering from Texas A&M University in 2006 by developing hp-mesh adaptation for 1-D multigroup neutron diffusion problems. Dr. Wang earned his PhD in Nuclear Engineering from Texas A&M University by developing Adaptive Mesh Refinement (AMR) solution techniques for the multi-group Sn transport equation using a higher-order discontinuous Finite Element Method (FEM). He has been engaged in the development of advanced modeling and simulation techniques, specifically, a transport solver INSTANT, based on a hybrid FEM and PN method, for the LDRD titled by "Development of Reactor Physics Sensitivity Analysis, Uncertainty Quantification, and Data Assimilation Capability at INL for validation Applications" (PHISICS) at the INL since 2009. In 2010, Dr. Wang turned to the development of a new transport scheme based on the Self-Adjoint Angular Flux (SAAF) formulation and a continuous FEM, aiming at tightly-coupled multiphysics simulations. This development has resulted into a new MOOSE-based application, Rattlesnake.