This case study shows a privacy-preserving AI data commons in action: researchers build a crystal counting tool for a food manufacturer and deploy it on the MyDataCan platform.
Suppression of turbulence by trapped electrons in optimised stellarators
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abstract
In fusion devices, the geometry of the confining magnetic field has a significant impact on the instabilities that drive turbulent heat loss. This is especially true of stellarators, where the "trapped electron mode" (TEM) is stabilised if specific optimisation criteria are satisfied, as in the Wendelstein 7-X experiment (W7-X). Here we find, by numerical simulation, that W7-X indeed has low TEM-driven transport, and also benefits from stabilisation of the ion-temperature-gradient mode, giving theoretical support for the existence of enhanced confinement regimes at finite density gradients.
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Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems
This case study shows a privacy-preserving AI data commons in action: researchers build a crystal counting tool for a food manufacturer and deploy it on the MyDataCan platform.