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Editorial: Eco-friendly fabrication of energy storage materials: from batteries to supercapacitors

エディトリアル:環境に優しいエネルギー貯蔵材料の製造-バッテリーからスーパーキャパシタまで (AI 翻訳)

Min Hong, Chunrong Ma, Gang Chen

Frontiers in Chemistry📚 査読済 / ジャーナル2026-06-10#エネルギー転換Origin: Global経営インパクト: コスト削減対象セクター: manufacturing
DOI: 10.3389/fchem.2026.1894576
原典: https://doi.org/10.3389/fchem.2026.1894576

🤖 gxceed AI 要約

日本語

本エディトリアルは、バッテリーやスーパーキャパシタなどのエネルギー貯蔵材料における環境に優しい製造技術の最新動向を紹介する。特にAI/MLを活用した材料設計やプロセス最適化、マイクロウェーブリサイクル技術の統合が持続可能性向上に貢献する可能性を強調している。

English

This editorial highlights recent advances in eco-friendly fabrication of energy storage materials like batteries and supercapacitors, emphasizing AI/ML for material discovery and process optimization, as well as microwave recycling technologies to reduce environmental footprint and support circular economy goals.

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

日本はバッテリーリサイクルとグリーン製造に注力しており、本エディトリアルで紹介されるAI統合やマイクロウェーブリサイクル技術は、日本のGX戦略に示唆を与える。

In the global GX context

The editorial aligns with global circular economy and net-zero targets, relevant to frameworks like ISSB and CSRD that emphasize lifecycle assessment and sustainable resource management.

👥 読者別の含意

🔬研究者:Highlights interdisciplinary approaches combining AI, green chemistry, and recycling for energy storage materials.

📄 Abstract(原文)

The growing demand for sustainable electrochemical energy storage has accelerated research into environmentally friendly fabrication strategies for batteries and supercapacitors. This Research Topic, Eco-Friendly Fabrication of Energy Storage Materials: From Batteries to Supercapacitors, highlights emerging approaches integrating green synthesis, advanced manufacturing, artificial intelligence (AI), and sustainable recycling technologies to enable next-generation energy systems. The contributions not only showcase recent breakthroughs but also outline a roadmap for addressing the environmental footprint of energy storage technologiesa critical prerequisite for achieving global carbon neutrality and circular economy goals.A prominent theme among the collected articles is the integration of AI and machine learning (ML) into sustainable material design and energy system optimization. Importantly, microwave technologies offer a promising low-carbon pathway toward closed-loop battery recycling and sustainable resource recovery. Looking ahead, the integration of microwave recycling with real-time monitoring and AI-based process control could further improve material recovery rates and reduce energy variability. An equally critical challenge is the design of batteries with recycling in mind from the outset-a concept often termed "design for recycling"-which would synergize with the microwave-assisted approaches reviewed here.Collectively, the articles in this Research Topic reveal several emerging trends in sustainable energy storage materials. First, AI and ML are becoming increasingly important for accelerating material discovery, process optimization, and lifecycle management. Second, scalable green fabrication technologies such as laser processing and microwave heating are enabling low-energy and environmentally friendly manufacturing routes. Third, interfacial engineering and recycling strategies are increasingly integrated into the broader sustainability framework of electrochemical energy systems.Overall, this Topic highlights the growing convergence of green chemistry, intelligent manufacturing, advanced interface science, and circular economy principles in modern energy storage research. We hope these contributions will inspire further interdisciplinary efforts toward environmentally responsible, scalable, and highperformance energy storage technologies.Finally, we sincerely thank all authors, reviewers, and editors for their valuable contributions and support in making this Research Topic successful.

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