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RESEARCH PAPER · npj Computational Materials · 2026

Text mining-assisted machine learning prediction and experimental validation of emission wavelengths

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4 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Text mining-assisted machine learning prediction and experimental validation of emission wavelengthsOriginalPerspective: Why Materials AI Needs More Failure Reporting — A Position on Negative Results as Community Infrastructure0Biomass Power Generation and Energy Management in Smart Grid-Connected Data Centers: A Comprehensive Review and Alignment Framework1Machine Learning‐Triggered Auto‐Discovery and Promotion of Luminescent Materials: From Predictive Modeling to Autonomous Laboratories0From Phosphor Ceramics to Intelligent Light‐Conversion Materials: High‐Flux Luminescence, Glassy Composite Interface, and Machine‐Learning‐Guided Design0

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  1. Perspective: Why Materials AI Needs More Failure Reporting — A Position on Negative Results as Community Infrastructure

    Journal of Computational and Data-Driven Materials Engineering · 2026-01-01

    Anna Novak, Tomáš Hrubý

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  2. Biomass Power Generation and Energy Management in Smart Grid-Connected Data Centers: A Comprehensive Review and Alignment Framework

    Sustainability · 2026-06-15

    Richard Penneigh, Raj Bridgelall, Joseph G. Szmerekovsky

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  3. Machine Learning‐Triggered Auto‐Discovery and Promotion of Luminescent Materials: From Predictive Modeling to Autonomous Laboratories

    Advanced Optical Materials · 2026-08-01

    Chao He, Shaoan Zhang, Zonglong Guo, Jialong Xu, Shengzhi Sun, Jianrong Qiu, Yang Li

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  4. From Phosphor Ceramics to Intelligent Light‐Conversion Materials: High‐Flux Luminescence, Glassy Composite Interface, and Machine‐Learning‐Guided Design

    Advanced Materials · 2026-09-30

    Lina Liu, Tao Pang, Lingwei Zeng, Daqin Chen

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