ターゲット駆動型の金属水素化物発見：ハイスループット計算フレームワークによる運用目標から持続可能性評価まで
Target-driven discovery of metal hydrides using a high-throughput computational framework: from operational targets to sustainability assessment (原題)
Renato Belli Strozi, Caroline Binde Stoco, Otávio Abreu Pedroso, Francisco Gil Coury, Betania Campello, Ricardo Floriano, Guilherme Zepon
🤖 gxceed AI 要約
日本語
多主元素合金ベースの金属水素化物の水素貯蔵材料を、CALPHAD計算と多基準意思決定分析を統合したハイスループット計算フレームワークで探索。Ti-V-Cr-Nb系で有望な合金を特定し、実験で1.2 H/Mの可逆的水素吸蔵を確認。経済・環境・社会指標を考慮した持続可能性評価を組み込んだ材料発見の加速に貢献。
English
A high-throughput computational framework integrating CALPHAD calculations and multi-criteria decision analysis identifies promising metal hydrides for hydrogen storage in the Ti-V-Cr-Nb system. The top-ranked alloy, Ti20V12.5Cr20Nb47.5, was synthesized and confirmed reversible hydrogen uptake of 1.2 H/M (1.68 wt.%). This approach accelerates materials discovery while incorporating sustainability indicators.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の水素社会実現に向けた水素貯蔵材料の開発は重要であり、本手法は材料探索の効率化に寄与する。持続可能性評価を組み込む点は、ESG投資やカーボンニュートラル政策と整合的で、日本の水素サプライチェーン構築に示唆を与える。
In the global GX context
This work contributes to global hydrogen storage materials research, aligning with the energy transition goals of TCFD and ISSB frameworks. The integration of sustainability assessment into materials discovery supports transition finance and ESG-driven investment decisions, offering a model for sustainable technology development.
👥 読者別の含意
🔬研究者:Provides a computational framework for accelerated discovery of hydrogen storage materials with integrated sustainability assessment.
🏢実務担当者:Offers a methodology for screening hydrogen storage materials that meet operational and sustainability criteria, useful for R&D in energy storage.
🏛政策担当者:Highlights the potential of computational approaches to support sustainable energy technology development, relevant for hydrogen policy and funding.
📄 Abstract（原文）
Abstract Metal hydrides based on multi-principal element alloys (MPEAs) offer tunable hydrogen storage properties, but their vast compositional space poses significant design challenges. A high-throughput computational strategy is proposed to identify alloys under predefined operating conditions, demonstrated here for hydrogen gas separation. CALPHAD equilibrium calculations were performed in the Ti-V-Cr-Nb system using a Python TM script with PanPython (Pandat TM SDK). Single-phase body-centered cubic (BCC) alloys were identified and evaluated using a computational framework to predict pressure-composition-temperature (PCT) diagrams. Candidates were screened based on operational requirements and ranked using multi-criteria decision analysis (MCDA), considering economic, environmental, and societal indicators. The highest-ranked alloy, Ti 20 V 12.5 Cr 20 Nb 47.5 , was synthesized and characterized. Hydrogen storage measurements using a volumetric apparatus confirmed reversible hydrogen uptake of 1.2 H/M (1.68 wt.%) under the targeted operating conditions. This integrated framework enables the identification of hydrides operating under predefined conditions while supporting sustainability-driven decision-making, paving the way for accelerated discovery of hydrogen materials and the advancement of sustainable energy technologies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41524-026-02295-4first seen 2026-08-28 04:36:28
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