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Oak Ridge team uses machine learning to rebuild fusion-grade tungsten microstructures

Oak Ridge National Laboratory researchers have developed a generative machine-learning workflow that learns the statistical fingerprints of damaged tungsten and produces synthetic microstructures for fusion-material testing. The April 15 study could reduce the time and cost of assessing plasma-facing components for future reactors.

By |2026-04-19T01:16:57+00:00April 19th, 2026|News|

Nature Communications paper questions a record graphene heat-conduction result

A March 27 Nature Communications paper is putting a high-profile graphene thermal conductivity claim under the microscope, arguing that the reported performance was likely overstated and that the experimental setup may have distorted the result. The dispute matters because thermal management remains one of graphene’s most commercially important promises.

By |2026-04-19T00:46:19+00:00April 19th, 2026|News|

Graphene and the “666” Carbon Code Explained

Graphene and the “666” Carbon Code: 6 Protons, 6 Neutrons, 6 Electrons Online discussions have recently revived claims that graphene contains a mysterious “666 carbon code,” pointing to the atomic structure of carbon. Scientists say the numbers come from basic chemistry: the most common form of carbon, carbon-12, contains six protons, six neutrons, and six electrons. Researchers note that graphene [...]

By |2026-04-18T13:46:53+00:00April 18th, 2026|News|
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