Revolutionizing ORR catalyst design through computational methodologies and materials informatics†

EES catalysis Pub Date : 2024-07-23 DOI:10.1039/D4EY00104D
Lanna E. B. Lucchetti, James M. de Almeida and Samira Siahrostami
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Abstract

Computational approaches, such as density functional theory (DFT) in conjunction with descriptor-based analysis and computational hydrogen electrode, have enabled exploring the intricate interactions between catalyst surfaces and oxygen species allowing for the rational design of materials with optimized electronic structure and reactivity for oxygen reduction reaction (ORR). The identification of active sites and the tuning of catalyst compositions at the atomic scale have been facilitated by computational simulations, accelerating the discovery of promising ORR catalysts. In this contribution, the insights provided by the computational analysis to understand the fundamental reasons behind inherent ORR overpotentials in the experimental reported catalysts are discussed. Various strategies to overcome the limitations in ORR catalysis using computational design are discussed. Several alternative earth-abundant and cost-effective materials suggested by computational guidance to replace platinum-based catalysts are reviewed. The accuracy of DFT and the role of solvent and electrolyte pH are outlined based on the understanding provided by the computational insight. Finally, an overview of recent achievements in employing materials informatics to accelerate catalyst material discovery for ORR is provided. These computational advancements hold great promise for the development of efficient and cost-effective ORR catalysts, bringing us closer to realizing the full potential of fuel cells as efficient electrochemical energy conversion technologies.

Abstract Image

通过计算方法和材料信息学革新 ORR 催化剂设计
密度泛函理论(DFT)等计算方法与基于描述符的分析和计算氢电极相结合,能够探索催化剂表面与氧物种之间错综复杂的相互作用,从而合理设计出具有优化电子结构和反应活性的材料,用于氧还原反应(ORR)。计算模拟有助于在原子尺度上识别活性位点和调整催化剂成分,从而加速发现有前景的 ORR 催化剂。本文讨论了计算分析提供的见解,以了解实验报告催化剂固有 ORR 过电位背后的根本原因。还讨论了利用计算设计克服 ORR 催化限制的各种策略。综述了计算指导提出的几种可替代铂基催化剂的地球富集且具有成本效益的材料。基于对计算洞察力的理解,概述了 DFT 的准确性以及溶剂和电解质 pH 的作用。最后,概述了最近在利用材料信息学加速 ORR 催化剂材料发现方面取得的成就。这些计算方面的进步为开发高效、经济的 ORR 催化剂带来了巨大的希望,使我们更接近实现燃料电池作为高效电化学能源转换技术的全部潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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