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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.
W. L. Kruer
Nuclear Technology | Volume 27 | Number 2 | October 1975 | Pages 216-223
Technical Paper | Reactor | doi.org/10.13182/NT75-A24288
Articles are hosted by Taylor and Francis Online.
Particle codes are a powerful tool for the numerical simulation of nonlinear plasma behavior. In these codes, one follows the motion of a large number of electrons and ions in their self-consistent (plus externally imposed) electric and magnetic fields. The fields are solved for on a spatial grid chosen to resolve the collective behavior of the plasma (i.e., the plasma waves). The interpolation between the grid and the particle positions corresponds physically to a multipole expansion of finite-size charges about their nearest grid point location. Results from particle codes agree with numerical solutions of the Vlasov equation. In laser fusion applications, particle codes are used to study the absorption of laser light.