Nano-architected catalysts for water splitting, fuel cells, and energy storage: Design strategies, challenges, and industrial scale-up
水分解、燃料電池、エネルギー貯蔵のためのナノ構造触媒：設計戦略、課題、産業スケールアップ (AI 翻訳)
Raman Kumar, Ankit Sharma, Gitanjali Gupta, Anurag Sinha, A. Agrawal, Vivek John, A. Smerat, A. Bhowmik, Saifullah Khalid
🤖 gxceed AI 要約
日本語
本レビューは、水分解による水素製造、燃料電池、エネルギー貯蔵のためのナノ触媒の設計戦略（形態制御、合金化、ヘテロ構造化など）を概説し、産業スケールアップへの道筋を示す。特に、人工知能・機械学習による触媒開発の加速とデジタルツインによる耐久性評価を強調。カーボンニュートラル実現に向けた重要技術の包括的なロードマップを提供する。
English
This review provides a roadmap for nanocatalyst design strategies (morphology, alloying, heterostructuring) for water splitting, fuel cells, and energy storage. It discusses industrial scale-up, techno-economic analysis, and the role of AI/ML in accelerating catalyst discovery. Critical for decarbonization and renewable energy infrastructure.
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
日本は水素社会の実現や燃料電池技術（例：トヨタMirai）に積極的であり、本レビューはこれらの基盤技術である触媒開発の最新動向をまとめている。SSBJや開示とは直接関係しないが、脱炭素技術の産業化への示唆に富む。
In the global GX context
This review is globally relevant for the hydrogen economy, fuel cells, and energy storage, key for the energy transition. It integrates AI/ML into catalyst development, aligning with digital trends in clean energy and providing a roadmap for industrial scale-up.
👥 読者別の含意
🔬研究者:Researchers in catalysis, materials science, and energy can use this as a comprehensive roadmap for nanocatalyst design and scale-up.
🏢実務担当者:Corporate R&D in clean energy can leverage the industrial scale-up insights and techno-economic analysis.
🏛政策担当者:Policymakers can understand the technology readiness and potential for hydrogen and fuel cells to inform policy support.
📄 Abstract（原文）
Transitioning toward global carbon neutrality requires developing energy conversion and storage technologies that surpass current solutions in efficiency, durability, and scalability. In this context, nanocatalysts have emerged as indispensable for advancing clean energy systems, owing to their tunable surface chemistry, structural diversity, and potential for defect engineering. In this review, we present a reproducible roadmap that links nanoscale design strategies to practical applications and eventual industrial adoption. Beginning with fundamental design approaches including morphology manipulation, alloying, heterostructuring, and hierarchical architectures, the review outlines how these strategies enhance electrocatalytic activity, specificity, and stability. The discussion further encompasses nanocatalyst applications in water splitting for sustainable hydrogen production, fuel cells for efficient electrochemical conversion, and advanced energy storage technologies, including batteries, supercapacitors, and hybrid systems. From an industrial perspective, the review also examines scalable synthesis, electrode fabrication, techno-economic evaluation, and life-cycle assessment. Distinct from previous reviews, this work emphasizes the role of artificial intelligence and machine learning in accelerating catalyst development through high-throughput discovery, predictive modeling of catalytic performance, and digital twin-based durability assessment. By integrating nanoscale innovations with pathways for industrial translation, this review provides a comprehensive roadmap for deploying nanocatalyst technologies at scale within renewable energy infrastructure. These insights are critical for mitigating greenhouse gas emissions and fostering sustainable, cost-effective, and commercially viable clean energy technologies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1177/01445987261453549first seen 2026-05-23 05:52:43 · last seen 2026-05-27 05:03:37
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。