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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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Martin Glauer

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#artificial intelligence Open access Sep 2026

Supporting AI Readiness Through Digital Workflows in Materials Science

Materials science produces heterogeneous data across experiments, simulations, and industrial processes that often remain bound to local formats, manual procedures, and project‐specific software. Digital workflows address this fragmentation through explicit, repeatable, and machine‐actionable pipelines. This article ex...

Marian Bruns, Lateef Abdul, Stephan Barth et al. · 1 citation
Open access Jul 2026

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Materials Science and Engineering (MSE) increasingly relies on data‐intensive, automated, and distributed workflows that span synthesis, manufacturing, characterization, design, and simulation. These settings require machine‐actionable representations of materials and processes that remain interoperable across laborato...

Markus Schilling, P. von Hartrott, Jörg Waitelonis et al. · 0 citations

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