Jing Zhang, Lin Ju, Zhenjie Tang, Shu Zhang, Genqiang Zhang and Wentao Wang*,
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The TM atom embedded in the central hexagonal hole (Cu<sub>i</sub>) is a robust bifunctional ORR/OER electrocatalyst due to its low overpotentials (0.53 V for ORR and 0.52 V for the OER) and superior thermodynamic stability. The ORR/OER catalytic performance of Cu<sub>i</sub> maintains well under the biaxial strain (−1% to +6%), as the ORR and OER overpotentials of Cu<sub>i</sub> change slightly with the biaxial strain. Nevertheless, the ORR and OER overpotentials increase sharply once the biaxial compressive strain exceeds −1%. Hence, substrates with lattice constants equal to or larger than T-C<sub>3</sub>N<sub>2</sub> are required to obtain good bifunctional ORR/OER activity in experimental equipment. Lastly, we employ the machine learning method with a gradient-boosted regression model to determine the origin of ORR and OER activity. The results indicate that the charge transfer of TM atoms (<i>Q</i><sub>e</sub>) is the dominant descriptor for ORR activity, while the d-electron counts (<i>N</i><sub>e</sub>) and the d-band center (ε<sub>d</sub>) are critical descriptors for OER. Our research highlights the efficiency of TM atom-doped T-C<sub>3</sub>N<sub>2</sub> as bifunctional electrocatalysts and offers valuable insights for developing electrocatalysts for future clean energy conversion and storage applications.</p>","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bifunctional Oxygen Reduction/Evolution Reaction Activity of Transition Metal-Doped T-C3N2 Monolayer: A Density Functional Theory Study Assisted by Machine Learning\",\"authors\":\"Jing Zhang, Lin Ju, Zhenjie Tang, Shu Zhang, Genqiang Zhang and Wentao Wang*, \",\"doi\":\"10.1021/acsanm.4c0446710.1021/acsanm.4c04467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Designing efficient and cost-effective bifunctional electrocatalysts for the bifunctional oxygen reduction reaction (ORR)/oxygen evolution reaction (OER) is crucial for sustainable and renewable energy technologies. In this study, we systematically investigate the potential of single transition metal (TM)-doped T-C<sub>3</sub>N<sub>2</sub> as bifunctional ORR/OER electrocatalysts using density functional theory and machine learning. The results reveal that TM atoms can be stably incorporated into the N vacancy (TM<sub>N</sub>) and the central hexagonal hole (TM<sub>i</sub>) of T-C<sub>3</sub>N<sub>2</sub>, creating various coordination environments for the TM atoms, which can influence the ORR/OER electrocatalytic performance. The TM atom embedded in the central hexagonal hole (Cu<sub>i</sub>) is a robust bifunctional ORR/OER electrocatalyst due to its low overpotentials (0.53 V for ORR and 0.52 V for the OER) and superior thermodynamic stability. The ORR/OER catalytic performance of Cu<sub>i</sub> maintains well under the biaxial strain (−1% to +6%), as the ORR and OER overpotentials of Cu<sub>i</sub> change slightly with the biaxial strain. 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引用次数: 0
摘要
为双功能氧还原反应(ORR)/氧进化反应(OER)设计高效且具有成本效益的双功能电催化剂对于可持续和可再生能源技术至关重要。在本研究中,我们利用密度泛函理论和机器学习系统地研究了单一过渡金属(TM)掺杂的 T-C3N2 作为双功能 ORR/OER 电催化剂的潜力。研究结果表明,TM 原子可以稳定地掺入 T-C3N2 的 N 空位(TMN)和中心六方孔(TMi)中,为 TM 原子创造了不同的配位环境,从而影响 ORR/OER 电催化性能。嵌入中央六方孔(Cui)的 TM 原子具有较低的过电位(ORR 为 0.53 V,OER 为 0.52 V)和优异的热力学稳定性,因此是一种稳健的 ORR/OER 双功能电催化剂。在双轴应变(-1% 至 +6%)条件下,Cui 的 ORR/OER 催化性能保持良好,因为其 ORR 和 OER 过电位随双轴应变而略有变化。然而,一旦双轴压缩应变超过-1%,ORR 和 OER 过电位就会急剧增加。因此,要在实验设备中获得良好的 ORR/OER 双功能活性,需要晶格常数等于或大于 T-C3N2 的基底。最后,我们采用梯度提升回归模型的机器学习方法来确定 ORR 和 OER 活性的起源。结果表明,TM 原子的电荷转移(Qe)是 ORR 活性的主要描述因子,而 d 电子计数(Ne)和 d 带中心(εd)则是 OER 的关键描述因子。我们的研究强调了掺杂 TM 原子的 T-C3N2 作为双功能电催化剂的效率,并为开发未来清洁能源转换和存储应用的电催化剂提供了宝贵的见解。
Bifunctional Oxygen Reduction/Evolution Reaction Activity of Transition Metal-Doped T-C3N2 Monolayer: A Density Functional Theory Study Assisted by Machine Learning
Designing efficient and cost-effective bifunctional electrocatalysts for the bifunctional oxygen reduction reaction (ORR)/oxygen evolution reaction (OER) is crucial for sustainable and renewable energy technologies. In this study, we systematically investigate the potential of single transition metal (TM)-doped T-C3N2 as bifunctional ORR/OER electrocatalysts using density functional theory and machine learning. The results reveal that TM atoms can be stably incorporated into the N vacancy (TMN) and the central hexagonal hole (TMi) of T-C3N2, creating various coordination environments for the TM atoms, which can influence the ORR/OER electrocatalytic performance. The TM atom embedded in the central hexagonal hole (Cui) is a robust bifunctional ORR/OER electrocatalyst due to its low overpotentials (0.53 V for ORR and 0.52 V for the OER) and superior thermodynamic stability. The ORR/OER catalytic performance of Cui maintains well under the biaxial strain (−1% to +6%), as the ORR and OER overpotentials of Cui change slightly with the biaxial strain. Nevertheless, the ORR and OER overpotentials increase sharply once the biaxial compressive strain exceeds −1%. Hence, substrates with lattice constants equal to or larger than T-C3N2 are required to obtain good bifunctional ORR/OER activity in experimental equipment. Lastly, we employ the machine learning method with a gradient-boosted regression model to determine the origin of ORR and OER activity. The results indicate that the charge transfer of TM atoms (Qe) is the dominant descriptor for ORR activity, while the d-electron counts (Ne) and the d-band center (εd) are critical descriptors for OER. Our research highlights the efficiency of TM atom-doped T-C3N2 as bifunctional electrocatalysts and offers valuable insights for developing electrocatalysts for future clean energy conversion and storage applications.
期刊介绍:
ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.