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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
Fernando De La Torre Aguilar, Sudarshan K. Loyalka
Nuclear Science and Engineering | Volume 194 | Number 5 | May 2020 | Pages 373-404
Technical Paper | doi.org/10.1080/00295639.2019.1707153
Articles are hosted by Taylor and Francis Online.
The study of the nuclear source term requires the computation of aerosol dynamics. Solutions to the aerosol general dynamic equation (GDE) are difficult to obtain by analytical or numerical methods when more realistic problems are considered. The direct simulation Monte Carlo (DSMC) technique is capable of simulating aerosol evolution reducing simplifications in the implementation of the aerosol GDE. In this work we present a DSMC program for the simulation of multicomponent polydisperse aerosol evolution, with the successful integration of the following processes: deposition, electrostatic dispersion, coagulation (considering charge effects), and condensation, assuming a spatially homogeneous medium and spherical particles. Two problems with different particle compositions were simulated to obtain information about the interactions through the different processes and the interacting particles as well as particle number and mass distributions with discrimination of charge levels. This information allowed us to explore the synergistic nature of these processes. It was found that the problem with denser particles had an overall stronger activity in coagulation and initially a stronger activity in deposition compared to the problem with less dense particles.