富土元素催化剂的合理设计

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2022-12-30 DOI:10.1002/wcms.1654
Gaomou Xu, Cheng Cai, Wanghui Zhao, Yonghua Liu, Tao Wang
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引用次数: 0

摘要

催化在能源可持续性、环境控制和化工生产中发挥着至关重要的作用,而高性能催化剂的设计是一个关键的科学问题。在自然界中,生物有机体用地球上丰富的金属进行催化,而现代工业过程严重依赖贵金属。这就指出了设计最先进的具有富土元素的催化剂以维持可持续催化的必要性。在这篇综述中,我们将从大自然使用地球上丰富的金属来养活地球的事实开始,然后是一些成功的水氧化催化剂设计的例子。然后,我们将系统地介绍计算催化剂设计的实用方法及其在各种反应中合理修饰EAM催化剂的应用。此外,对高通量计算和人工智能在该框架中的作用进行了总结和讨论。我们还将讨论该框架的潜在局限性以及克服这些挑战的战略。最后,我们强调了理论与实验的协同作用对于合理设计富地元素催化剂的重要性。本文分类如下:
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Rational design of catalysts with earth-abundant elements

Catalysis has played a crucial role in energy sustainability, environment control, and chemical production, while the design of high-performance catalysts is a key scientific question. In nature, biological organisms carry out catalysis with earth-abundant metals, whereas modern industrial processes rely heavily on precious metals. This points out the necessity of designing state-of-the-art catalysts with earth-abundant elements to maintain sustainable catalysis. In this review, we will start with the fact that nature uses earth-abundant metals to feed the planet, followed by a few successful examples of catalyst design for water oxidation. Then, we will systematically introduce the practical methods in computational catalyst design and their applications in the rational modification of EAM catalysts for various reactions. In addition, the roles of high-throughput computations and artificial intelligence in this framework are summarized and discussed. We will also discuss the potential limitations of the framework and the strategies to overcome these challenges. Finally, we emphasize the importance of the synergistic efforts between theory and experiments in rational catalyst design with earth-abundant elements.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
期刊最新文献
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