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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Hongxing Dong

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Conference Jul 2026

Explainable machine learning for predicting the glass transition temperature of fluoride glasses

This work provides an accurate data-driven tool for predicting the properties of fluoride glasses but also elucidates the physicochemical links between composition and structural stability through a data-driven approach, offering valuable guidance for the compositional design of novel fluoride glasses.

Run-Ze Zhou, Xinqiang Yuan, Chi Zhang et al. · 0 citations

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