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Technologies directed to machine-learning-based methods for multi-physics nuclear reactor core simulator are described
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The technology provides a decision support tool for examining hydropower energy-environment trade-offs.
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By using an FSI based solution, in this case, an ionic liquid to coat solid electrolytes with a stabilization layer (presumably LiF, experiments on the way) for stable interfaces.
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Technologies are described for determining effective thermal conductivities for porous thermal insulation materials given structural and material information.
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The invention relates to genes for enabling ever growing trees.
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This solid-state thermal switch can significantly increase the functions of the thermal mass in buildings by actively controlling the thermal resistivity of insulation layers to optimize the energy storage and utilization to shed, shift, and shape HVAC loads on demand.
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Technologies are described directed to fine-motion external reactivity control for nuclear reactors.
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Technologies are described directed to safety shutdown of nuclear reactors.
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Technologies directed to dynamic multiphase flow separators are described.