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What is #Starrydata ? Take a look at this video commentary on the world's largest database of experimental data on thermoelectric materials! #STAMMethods youtu.be/_aHzgDQA65U?si=pWQD… @YouTube @nezdenmama
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#STAMMethods Bayesian modeling links XRD peaks to tensile modulus, enabling interpretable, nondestructive grading of recycled polypropylene. 🔗 doi.org/10.1080/27660400.202… #Polypropylene
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#STAMMethods "pinax" streamlines data workflows and provenance for materials science, enabling reproducibility and efficient knowledge sharing. 🔗 doi.org/10.1080/27660400.202… #MaterialsInformatics #EditorsChoice
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#STAMMethods Simple agent AI with Python templates enables efficient Gibbs energy and phase-field simulation for materials research. 🔗 doi.org/10.1080/27660400.202… #AgentAI
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#STAMMethods NIMO integrates diverse AI algorithms into legacy lab robots, enabling fully autonomous, optimized experiments! 🔗 doi.org/10.1080/27660400.202…
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Bayesian spectroscopy accurately estimates magnetic moments from MCD/XA spectra, even with low S/N ratios. High noise tolerance! #STAMMethods 🔗 doi.org/10.1080/27660400.202…
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ALBO speeds up GeTe process optimization, raising 700 K 𝑧𝑇 by 25% in just 24 experiments! Melt-cooling & SPS profiles found key. #STAMMethods 🔗 doi.org/10.1080/27660400.202…
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"A unified model for metallic materials reliability data and its application in NIMS metallic materials database (Kinzoku)" Asahiko Matsuda et al. 2025 Sci. Technol. Adv. Mater. Methods 5, Article: 2518745 doi.org/10.1080/27660400.202… #OpenAccess #STAMMethods #MaterialsResearch
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