Strategies for computational design and discovery of two-dimensional transition-metal-free materials for electro-catalysis applications

Literature Information

Publication Date 2019-10-31
DOI 10.1039/C9CP04284A
Impact Factor 3.676
Authors

Huilong Dong, Yujin Ji, Lifeng Ding, Youyong Li


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Abstract

In this perspective, we review two new strategies for computational design and discovery of two-dimensional (2D) transition-metal (TM) free electro-catalysts for the oxygen reduction reaction (ORR) and the nitrogen reduction reaction (NRR). The “2D binary compound” strategy for designing ORR electro-catalysts shows promising applications, which benefits from abundant intrinsic catalytic sites for the adsorption of reaction intermediates. And with the “activated B site” strategy for designing NRR electro-catalysts, several novel NRR electro-catalysts with extremely low limiting potential are developed. Computational-simulation-driven material design from a bottom-up method could not only provide rational strategies, but also accelerate the discovery of novel materials.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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