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NERS Professor John C. Lee publishes an introductory text for broad areas of nuclear reactor physics

“Nuclear Reactor Physics and Engineering” offers information on analysis, design, control, and operation of nuclear reactors.| Short Read
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In Nuclear Reactor Physics and Engineering, Professor John C. Lee of U-M Nuclear Engineering and Radiological Sciences (NERS) explores the fundamentals and presents the mathematical formulations that are grounded in differential equations and linear algebra.

Lee became Professor Emeritus in 2019 after 45 years with the department. His research has focused on the physics and engineering analysis of nuclear systems, including space-time reactor kinetics, optimization of nuclear fuel cycles, transmutation of spent nuclear fuel, risk and safety analysis of nuclear systems, power plant simulation and control, advanced reactor design and analysis, and coupled multiphysics analysis of nuclear reactors.

The book puts the focus on the use of neutron diffusion theory for the development of techniques for lattice physics and global reactor system analysis. Lee also includes recent developments in numerical algorithms, including the Krylov subspace method, and the MATLAB® software; including the Simulink toolbox for efficient studies of steady-state and transient reactor configurations. Lee also covers nuclear fuel cycle and associated economics analysis, together with the application of modern control theory to reactor operation. 

Nuclear Reactor Physics and Engineering is currently available for purchase on Amazon.

Cover of Nuclear Reactor Physics and Engineering by John C. Lee
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Sara Norman

Michigan Engineering

The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

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