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Brian Bush

Researcher at National Renewable Energy Laboratory

Publications -  85
Citations -  1093

Brian Bush is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Dipole & Renewable energy. The author has an hindex of 17, co-authored 84 publications receiving 960 citations. Previous affiliations of Brian Bush include Joint Institute for Nuclear Research & Office of Scientific and Technical Information.

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Population mobility generator and simulator

TL;DR: In this paper, a system and method provides a simulation of a complex network and movement and interdependencies between entities in the network, including a route planner and a micro-simulation module simulating movement of the individual entities in compliance with their travel plans.
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Thermal shape fluctuations, Landau theory, and giant dipole resonances in hot rotating nuclei.

TL;DR: A macroscopic approach to giant dipole resonances (GDR's) in hot rotating nuclei is presented and provides a unified description of thermal fluctuations in all quadrupole shape degrees of freedom.
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Effects of thermal fluctuations on giant dipole resonances in hot rotating nuclei

TL;DR: In this article, a macroscopic approach to giant dipole resonance (GDR) in highly excited nuclei, using a unified description of quadrupole shape thermal fluctuations, was presented.
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Orientation fluctuations and the angular distribution of the giant-dipole-resonance gamma rays in hot rotating nuclei.

TL;DR: The theory is applied to recent precision measurements in {sup 90}Zr and {sup 92}Mo and is the first to reproduce well both the observed giant-dipole-resonance cross sections and the angular anisotropies.
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Ethanol Distribution, Dispensing, and Use: Analysis of a Portion of the Biomass-to-Biofuels Supply Chain Using System Dynamics

TL;DR: In this article, the authors focus on the downstream portion of the supply chain, represented in the distribution logistics, dispensing station, and fuel utilization, and vehicle modules of the Biomass Scenario Model, and identify conditions needed to sustain an ethanol fuel market and identify implications of these findings for program and policy goals.