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Currently there is no capability to test nuclear materials, sensors, and fuels at relevant temperatures and under radiation for nuclear thermal rocket propulsion technology.
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.
We describe below an improved Anger camera for neutron detection and imaging.
The invention provides a low-cost, compact electromechanical, versatile, computer-controlled device that can be fitted inside cryostats, closed-cycle refrigerators, and similar cryogenic devices while carrying multiple samples.
Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.