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RESEARCH PAPER · Advanced Intelligent Systems · 2025

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

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Open in your workspace →Saved 2026-10-14 · complete coverage
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Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis DataOriginalPredicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning1Synthesis-structure-performance relationships in hydrothermally derived α-Fe2O3 photoanodes for photoelectrochemical water splitting: A critical review0From Trace Element Biogeochemistry to Critical Minerals Resourcing: Lessons Learned and Opportunities for Innovation0

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  1. Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

    Advanced Intelligent Systems · 2026-01-06

    Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo

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  2. Synthesis-structure-performance relationships in hydrothermally derived α-Fe2O3 photoanodes for photoelectrochemical water splitting: A critical review

    Materials chemistry and physics. · 2026-08-05

    Zhan Li, Noraini Mohd

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  3. From Trace Element Biogeochemistry to Critical Minerals Resourcing: Lessons Learned and Opportunities for Innovation

    Environmental Science & Technology · 2026-09-22

    Heileen Hsu‐Kim, Case M. van Genuchten, Joel G. Burken, Djuna M. Gulliver, Jon Petter Gustafsson, Mengling Y. Stuckman

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