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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.
James M. Williams, T. G. Frank
Nuclear Technology | Volume 22 | Number 3 | June 1974 | Pages 360-372
Technical Paper | Material | doi.org/10.13182/NT74-A31420
Articles are hosted by Taylor and Francis Online.
The current pace of development of laser-driven fusion together with the urgency of providing sources of safe, clean, low-cost electrical energy have prompted consideration of the major materials problems that must be solved before practical laser fusion can be realized. Many of the materials problems associated with laser fusion are common also to magnetically confined fusion reactors. These include the degradation in physical and mechanical properties of structural materials from neutron irradiation and the formation of interstitial gas, problems related to the use of lithium as a reactor coolant, and the necessity to breed tritium for use in the fuel cycle. Some materials problems are unique to laser fusion. Laser-beam transport requires the use of windows and mirrors that may be damaged by intense laser light. Cyclic stresses imposed on reactor-cavity and blanket-region wall structures accentuate the importance of radiation-induced changes in elastic moduli of structural materials.