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Seismic assessment and finite element modeling of traditional vs innovative point fixed glass facade systems

Sawbones® and Numalogics Announce Orthopedic Computational Model Validation & Commercial Partnership

Sawbones® and Numalogics Announce Orthopedic Computational Model Validation & Commercial Partnership
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Artificial intelligence for structural glass engineering applications

Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires

Machine learning. Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires 19-05-2021 Scientists have developed a new tool to investigate the internal features of Nb3Sn superconducting wires, combining X-ray tomographic data acquired at beamline ID19 with an unsupervised machine-learning algorithm. The method provides new insights for enhancing wire performance. Share Interest in niobium-tin (Nb 3Sn) as a material for superconducting wires has recently been renewed because this material has been selected to replace niobium-titanium as the next step in accelerator magnet technology [1]. The design of these magnets relies on the availability of advanced Nb

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