Spin-dependent electron transfer in electrochemically transparent van der Waals heterostructures for oxygen evolution reaction

IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yang Li , Yan Wang , Andrew F. May , Mauro Fianchini , Chiara Biz , Saeyoung Oh , Yiru Zhu , Hu Young Jeong , Jieun Yang , Jose Gracia , Manish Chhowalla
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Abstract

Spin selective catalysis is an emerging approach for improving the thermodynamics and kinetics of reactions. The role of electron spins has been scarcely studied in catalytic reactions. One exception is the oxygen evolution reaction (OER) where strongly correlated metals and oxides are used as catalysts. In OER, spin alignment facilitates the transition of singlet state of the reactant to the triplet state of O2. However, the influence of strong correlations on spin exchange mechanism and spin selective thermodynamics of most catalytic reactions remain unclear. Here we decouple the strongly correlated catalyst from the electrolyte to study spin exchange in two-dimensional (2D) magnetic iron germanium telluride (FGT) heterostructure. We demonstrate that transmission of spin and electrochemical information between the catalyst and the reactant can occur through quantum exchange interaction despite the catalyst of FGT being completely encapsulated by graphene or hexagonal boron nitride (hBN). The strong correlations in FGT that lead to enhanced spin exchange in OER are observed in graphene or hBN layers with thicknesses of up to 6 nm. We demonstrate that spin alignment in FGT leads to a lowering of thermodynamic barrier for adsorption of hydroxide ion and electron transfer to the catalyst. This results in up to fivefold enhancement in OER performance and improved kinetics. Our results provide clear evidence that transmission of both quantum mechanical and electrochemical information through quantum spin exchange interaction in FGT leads to an enhancement in catalytic performance.

用于氧进化反应的电化学透明范德华异质结构中的自旋电子转移
自旋选择性催化是改善反应热力学和动力学的一种新兴方法。目前还很少研究电子自旋在催化反应中的作用。氧进化反应(OER)是一个例外,在该反应中,强相关金属和氧化物被用作催化剂。在 OER 反应中,自旋排列促进了反应物的单重态向 O2 的三重态转变。然而,强相关性对大多数催化反应的自旋交换机制和自旋选择热力学的影响仍不清楚。在此,我们将强相关催化剂与电解质解耦,研究二维(2D)磁性锗碲铁(FGT)异质结构中的自旋交换。我们证明,尽管 FGT 的催化剂被石墨烯或六方氮化硼(hBN)完全包裹,催化剂和反应物之间的自旋和电化学信息仍可通过量子交换相互作用进行传递。我们在厚度达 6 纳米的石墨烯或六方氮化硼层中观察到了 FGT 中的强相关性,这种相关性导致 OER 中自旋交换的增强。我们证明,FGT 中的自旋排列降低了氢氧根离子吸附和电子转移到催化剂的热力学势垒。这使得 OER 性能提高了五倍,并改善了动力学。我们的研究结果清楚地证明,通过 FGT 中的量子自旋交换相互作用传递量子力学和电化学信息可提高催化性能。
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来源期刊
Materials Science and Engineering: R: Reports
Materials Science and Engineering: R: Reports 工程技术-材料科学:综合
CiteScore
60.50
自引率
0.30%
发文量
19
审稿时长
34 days
期刊介绍: Materials Science & Engineering R: Reports is a journal that covers a wide range of topics in the field of materials science and engineering. It publishes both experimental and theoretical research papers, providing background information and critical assessments on various topics. The journal aims to publish high-quality and novel research papers and reviews. The subject areas covered by the journal include Materials Science (General), Electronic Materials, Optical Materials, and Magnetic Materials. In addition to regular issues, the journal also publishes special issues on key themes in the field of materials science, including Energy Materials, Materials for Health, Materials Discovery, Innovation for High Value Manufacturing, and Sustainable Materials development.
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