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are conventionally operated as baseload assets, yet coupling HTGRs with large-scale thermal energy storage (TES) could fundamentally alter this paradigm. By storing surplus reactor heat during periods of low demand
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the form of coatings, ablation and high-heat-flux testing rigs, and characterisation using secondary electron imaging, X-ray diffractometry, electron backscattered diffraction, transmission electron
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following would be advantageous: Programming in Python or a comparable language. Using machine-learning frameworks such as PyTorch or TensorFlow. Working with image, video, time-series or sensor data
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