23 results on '"Mou, Tianyou"'
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2. Elucidation of site structures and CO oxidation kinetics of the Ir1/TiO2 single-atom catalyst
- Author
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Liu, Liping, Thompson, Coogan B., Mou, Tianyou, Karim, Ayman M., and Xin, Hongliang
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- 2024
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3. Bridging the complexity gap in computational heterogeneous catalysis with machine learning
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Mou, Tianyou, Pillai, Hemanth Somarajan, Wang, Siwen, Wan, Mingyu, Han, Xue, Schweitzer, Neil M., Che, Fanglin, and Xin, Hongliang
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- 2023
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4. Computational design of non-equiatomic CoCrFeNi alloys towards optimized mechanical and surface properties
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Zhang, Zhengyu, Yao, Yi, Liu, Liping, Mou, Tianyou, Xin, Hongliang, Li, Lin, and Cai, Wenjun
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- 2022
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5. Machine learning of lateral adsorbate interactions in surface reaction kinetics
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Mou, Tianyou, Han, Xue, Zhu, Huiyuan, and Xin, Hongliang
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- 2022
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6. Recent advances in integrated capture and electrochemical conversion of CO2.
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Kwon, Yongjun, Wu, Binhong, Zhang, Ning, Hand, David, Mou, Tianyou, Han, Xue, and Chang, Qiaowan
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ELECTROLYTIC reduction ,CARBON dioxide ,GREENHOUSE effect ,ENERGY consumption ,FUSED salts ,FLUE gases - Abstract
Capturing and electrochemically converting carbon dioxide (CO
2 ) from industrial point sources, such as flue gas, is a promising approach to mitigate the greenhouse effect and protect the environment. However, these processes are characterized by high energy consumption and low energy efficiency, which need optimization. This prospective article provides a summary of the current strategies for capturing and electrochemically converting dilute CO2 into valuable products. We will summarize strategies for capture and electrochemical reduction of CO2 in a dilute stream, compare the advantages and disadvantages of using amines, membranes, alkaline solutions, and molten salts for CO2 capture and conversion, and discuss the effects of CO2 concentrations and typical impurities in flue gas (NOx , SOx , and O2 ) on the performance of electrochemical CO2 conversion. We will also provide an outlook on future opportunities for developing integrated processes for capturing and electrochemically converting CO2 to valuable products. [ABSTRACT FROM AUTHOR]- Published
- 2024
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7. Ultrahigh tribocorrosion resistance of metals enabled by nano-layering
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Wang, Wenbo, Wang, Kaiwen, Zhang, Zhengyu, Chen, Jia, Mou, Tianyou, Michel, F. Marc, Xin, Hongliang, and Cai, Wenjun
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- 2021
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8. Interpretable Machine Learning for Catalytic Materials Design toward Sustainability
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Xin, Hongliang, primary, Mou, Tianyou, additional, Pillai, Hemanth Somarajan, additional, Wang, Shih-Han, additional, and Huang, Yang, additional
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- 2023
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9. Understanding Interfacial Kinetics of Catalytic Carbon Dioxide Transformations from Multiscale Simulations
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Mou, Tianyou, Chemical Engineering, Xin, Hongliang, Achenie, Luke E., Zhu, Huiyuan, and Valeyev, Eduard Faritovich
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multiscale simulations ,machine learning ,reaction kinetics ,Computational catalysis - Abstract
Carbon dioxide (CO2), as a greenhouse gas, has shown to achieve the highest level in history, causes the global warming issue, leading to a 1.2 ℃ increase of the global average temperature. The consumption of fossil fuels is one of the main reasons that cause CO2 emission. Current industrial production of chemicals accounts for 29% of total fossil fuels consumption, which can be the feedstock or raw materials for carbon source, or act as the fuel to generate heat and power. CO2 conversion technologies, e.g., thermo-catalytic reaction and electrochemical reduction, have drawn researchers' attention, since they have the potential to resolve the feedstock and fuel consumption sectors of chemical production at the same time. CO2 conversion technologies use CO2 as the direct carbon source of chemicals and store the intermittent renewable energies as the energy source, which can ultimately achieve a net-zero CO2 emission and produce value-added chemical products. However, there are challenges for a practical application of CO2 conversion technologies. For instance, electrochemical CO2 reduction reaction (ECO2RR) suffers from the low activity and selectivity, while thermocatalytic CO2 conversion, or the CO2 hydrogenation reaction, usually requires harsh reaction conditions and has a low selectivity. Nonetheless, the improvement of developing new promising catalysts remains limited, due to the lack of insights of the reactions. The complex reaction networks and kinetics lead to an elusive reaction mechanism, and various effects, e.g., solvation, potential, structure, and coverage, hinder our fundamental understanding of catalytic processes. Herein, we report the efforts that we have been put in to gain insights of reaction mechanism of CO2 reduction reactions. Bi has shown to reduce CO2 to formic acid (HCOOH), while we have found that, by constituting a Bi-Cu2S heterostructure catalyst, a better catalytic performance was achieved, due to the structural effect of the interface (Chapter 2). However, it is shown that the CO2 electrochemical reduction mechanism on Bi has changed when switching the electrolyte from water to aprotic media, e.g., ionic liquids, and CO was obtained as the main product instead of HCOOH, showing a shift of reaction pathway due to the electrolyte effect (Chapter 3). However, the fundamental understanding of reaction mechanism requires not only the reaction pathways, but the reaction kinetics under reaction conditions, where the lateral or adsorbate-adsorbate interactions play an important role. In this case, we summarized recent advances of applications of machine learning (ML) algorithms for adsorbate-adsorbate interaction model developments to deal with the realistic reaction kinetics (Chapter 4). The lattice based Kinetic Monte Carlo (KMC) has shown promising performances for considering the lateral interactions of surface reactions. We report the mechanistic and KMC kinetic study of CO2 hydrogenation on Cesium promoted Au(111) surface, to gain insights of alkali metal promoting effects under reaction conditions (Chapter 5). To expand the scope, the integration of CO2 reduction with the C-N bond formation provides a promising strategy to produce more value-added product such as urea. Recent studies show that urea can be produced by reducing CO2 and nitrate (NO3-) from wastewater, which mitigate both global warming and nitrate pollution issue. However, the reaction mechanism remains elusive due to the complicated reaction network. Therefore, we employed the first-principles molecular dynamics to reveal the reaction mechanism of C-N coupling and the effect of different reaction conditions including applied potential and electrolyte (Chapter 6). Although recent advances in the computational catalysis field have significantly push forward the understanding of the chemistry nature of heterogeneous catalysis, the gap between theory and experiment remains far beyond bridged due to the complexity nature of the problem in a wide range of time and length scales, hinders the development and discovery of active catalytic materials. Recent advances of narrowing and bridging the complexity gap between theory and experiment with machine learning have been summarized to emphasize the importance of utilizing machine learning for rational catalyst design (Chapter 7). Doctor of Philosophy Global warming issue is a rising topic in recent years which has severe impacts on environments. One of the main reasons is the increase level of greenhouse gases that prevent the release of heat that captured from the sun. Carbon dioxide (CO2) is achieving the highest level in history due to the human activities including the consumption of fossil fuels. Therefore, CO2 conversion technologies are needed to tackle reduce the CO2 level in the atmosphere and the emission of CO2 in industries. CO2 conversion technologies, e.g., thermo-catalytic reaction and electrochemical reduction, have drawn researchers' attention, since they have the potential to resolve the feedstock and fuel consumption sectors of chemical production at the same time. However, the complexity of the CO2 conversion processes hinders the development of new technologies. Since the nature of these technologies are heterogeneous catalytic reactions, all reactions are happening at the interface between catalysts and reactants/products, which calls for the understanding of interfacial mechanisms of CO2 reduction reactions. For this type of high degree of freedom problem where many phases including solid-solid, solid-liquid, and solid-gas phases exist, multiscale simulations turn out to be a proper approach since the wide time and length scale that can be covered. Herein, we employed different multiscale modeling methods to tackle various CO2 reduction problems. For electrochemical reduction of CO2, we designed a novel Bi-Cu2S hetero-structured catalyst, which has abundant interfacial sites between Bi and Cu2S, demonstrating the improved catalytic performance of ECO2RR toward formate production. At the same time, it has been found that in non-aqueous solution, the reaction pathway has been switched, where CO is obtained as the final product instead of formate. This effect has been investigated using constant potential calculation method to probe the reaction under reaction condition. For thermo-catalytic reactions, we studied the CO2 hydrogenation on Cesium promoted Au(111) surface using quantum mechanics and kinetic Monte Carlo (KMC) calculations, to gain insights of alkali metal promoting effects under reaction conditions. To expand the scope, the integration of CO2 electroreduction with C-N coupling is a promising strategy for global warming and pollution control, which utilizes the nitrate (NO3-) from wastewater and CO2 to produce high value-added product such as urea. The fundamental investigation of reaction mechanism of C-N coupling has been studied using first principles molecular dynamics.
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- 2023
10. Atomic‐Level Surface Engineering of Nickel Phosphide Nanoarrays for Efficient Electrocatalytic Water Splitting at Large Current Density
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Lv, Xinding, primary, Wan, Shutong, additional, Mou, Tianyou, additional, Han, Xue, additional, Zhang, Yifan, additional, Wang, Zilong, additional, and Tao, Xia, additional
- Published
- 2022
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11. Heterostructured Bi–Cu2S nanocrystals for efficient CO2 electroreduction to formate
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Han, Xue, primary, Mou, Tianyou, additional, Liu, Shikai, additional, Ji, Mengxia, additional, Gao, Qiang, additional, He, Qian, additional, Xin, Hongliang, additional, and Zhu, Huiyuan, additional
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- 2022
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12. Atomic‐Level Surface Engineering of Nickel Phosphide Nanoarrays for Efficient Electrocatalytic Water Splitting at Large Current Density.
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Lv, Xinding, Wan, Shutong, Mou, Tianyou, Han, Xue, Zhang, Yifan, Wang, Zilong, and Tao, Xia
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OXYGEN evolution reactions ,NICKEL phosphide ,HYDROGEN evolution reactions ,CATALYTIC activity ,CHEMICAL properties ,ENGINEERING - Abstract
Designing high‐performance and cost‐effective electrocatalysts for water splitting at high current density is pivotal for practical industrial applications. Herein, it is found that atomic‐level surface engineering of self‐supported nickel phosphide (NiP) nanoarrays via a facile cation‐exchange method can substantially regulate the chemical and physical properties of catalysts by introducing Co atoms. Such surface‐engineered NixCo1–xP endows several aspects of merits: i) rough nanosheet array electrode structure accessible to diffusion of electrolytes and release of gas bubbles, ii) enriched P vacancies companied by Co doping and thus increased active sites, and iii) the synergy of Ni5P4 and NiP2 beneficial to catalytic activity enhancement. By virtue of finely controlling the Co contents, the optimal Ni0.96Co0.04P electrode achieves remarkable bifunctional electrocatalytic performance for overall water splitting at a large current density of 1000 mA cm−2, showing overpotentials of 249.7 mV for hydrogen evolution reaction and 281.7 mV for oxygen evolution reaction. Furthermore, the Ni0.96Co0.04P electrode at 500 mA cm−2 exhibits an ultralow potential (1.71 V) and ultralong durability (500 h) for overall water splitting. This study implies that the atomic‐level surface engineering of the electrode materials offers a viable route for gaining high‐performance catalysts for water splitting at large current density. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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13. Inside Back Cover: Rationalizing Acidic Oxygen Evolution Reaction over IrO2: Essential Role of Hydronium Cation.
- Author
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Mou, Tianyou, Bushiri, Daniela A., Esposito, Daniel V., Chen, Jingguang G., and Liu, Ping
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OXYGEN evolution reactions , *ELECTRIC fields , *IRIDIUM oxide , *OXONIUM ions , *HYDROXYLATION - Abstract
Acid environment was found to play a critical role in regulating the catalytic behavior of IrO2 duringthe oxygen evolution reaction ( OER). As demonstrated by Jingguang G. Chen, Ping Liu et al. in their Research Article ( e202409526), the presence of hydronium cation ( H3O+) introduces an internal electric field at the interface. It allows selective bond- tuning of the reaction intermediates and formation of partial surface hydroxylation under the operational conditions, which actively catalyzed the OER. [Extracted from the article]
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- 2024
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14. Interpretable Machine Learning of Chemical Bonding at Solid Surfaces
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Omidvar, Noushin, primary, Pillai, Hemanth S., additional, Wang, Shih-Han, additional, Mou, Tianyou, additional, Wang, Siwen, additional, Athawale, Andy, additional, Achenie, Luke E. K., additional, and Xin, Hongliang, additional
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- 2021
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15. Interpretable Machine Learning of Chemical Bonding at Solid Surfaces
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Omidvar, Noushin, Pillai, Hemanth Somarajan, Wang, Shih-Han, Mou, Tianyou, Wang, Siwen, Athawale, Andy, Achenie, Luke E. K., Xin, Hongliang, Omidvar, Noushin, Pillai, Hemanth Somarajan, Wang, Shih-Han, Mou, Tianyou, Wang, Siwen, Athawale, Andy, Achenie, Luke E. K., and Xin, Hongliang
- Abstract
Understanding the nature of chemical bonding and its variation in strength across physically tunable factors is important for the development of novel catalytic materials. One way to speed up this process is to employ machine learning (ML) algorithms with online data repositories curated from high-throughput experiments or quantum-chemical simulations. Despite the reasonable predictive performance of ML models for predicting reactivity properties of solid surfaces, the ever-growing complexity of modern algorithms, e.g., deep learning, makes them black boxes with little to no explanation. In this Perspective, we discuss recent advances of interpretable ML for opening up these black boxes from the standpoints of feature engineering, algorithm development, and post hoc analysis. We underline the pivotal role of interpretability as the foundation of next-generation ML algorithms and emerging AI platforms for driving discoveries across scientific disciplines.
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- 2021
16. Monodisperse PdSn/SnOx core/shell nanoparticles with superior electrocatalytic ethanol oxidation performance
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Gao, Qiang, primary, Mou, Tianyou, additional, Liu, Shikai, additional, Johnson, Grayson, additional, Han, Xue, additional, Yan, Zihao, additional, Ji, Mengxia, additional, He, Qian, additional, Zhang, Sen, additional, Xin, Hongliang, additional, and Zhu, Huiyuan, additional
- Published
- 2020
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17. Heterostructured Bi–Cu2S nanocrystals for efficient CO2electroreduction to formateElectronic supplementary information (ESI) available. See DOI: 10.1039/d1nh00661d
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Han, Xue, Mou, Tianyou, Liu, Shikai, Ji, Mengxia, Gao, Qiang, He, Qian, Xin, Hongliang, and Zhu, Huiyuan
- Abstract
The electrochemical CO2reduction reaction (ECO2RR) driven by renewable electricity holds promise to store intermittent energy in chemical bonds, while producing value-added chemicals and fuels sustainably. Unfortunately, it remains a grand challenge to simultaneously achieve a high faradaic efficiency (FE), a low overpotential, and a high current density of the ECO2RR. Herein, we report the synthesis of heterostructured Bi–Cu2S nanocrystals viaa one-pot solution-phase method. The epitaxial growth of Cu2S on Bi leads to abundant interfacial sites and the resultant heterostructured Bi–Cu2S nanocrystals enable highly efficient ECO2RR with a largely reduced overpotential (240 mV lower than that of Bi), a near-unity FE (>98%) for formate production, and a high partial current density (2.4- and 5.2-fold higher JHCOO−than Cu2S and Bi at −1.0 V vs.reversible hydrogen electrode, RHE). Density functional theory (DFT) calculations show that the electron transfer from Bi to Cu2S at the interface leads to the preferential stabilization of the formate-evolution intermediate (*OCHO).
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- 2022
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18. Monodisperse PdSn/SnOx core/shell nanoparticles with superior electrocatalytic ethanol oxidation performance.
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Gao, Qiang, Mou, Tianyou, Liu, Shikai, Johnson, Grayson, Han, Xue, Yan, Zihao, Ji, Mengxia, He, Qian, Zhang, Sen, Xin, Hongliang, and Zhu, Huiyuan
- Abstract
Direct ethanol fuel cells are one of the most promising electrochemical energy conversion devices for portable electronics and electric vehicles. Highly efficient and robust electrocatalysts for the ethanol oxidation reaction are therefore desired. In this paper, we report a facile approach for synthesizing monodisperse PdSn/SnO
x core/shell nanoparticles as high-performance catalysts for electrochemical ethanol oxidation reaction (EOR). The mass current density of PdSn/SnOx reached 3.2 A mgPd −1 at 0.85 V vs. RHE in 1 M KOH solution, which is 3.2 times higher than that of the commercial Pd catalyst. More importantly, these PdSn/SnOx core/shell nanoparticles exhibit enhanced stability compared with the commercial Pd catalyst. Density functional theory calculations suggest that the strong d–p orbital coupling and sp-electron transfer in the PdSn alloy weaken the adsorption of carbonaceous species, e.g., the acetate-evolution intermediate *CH3 CO and the poisoning species *CO, at Pd sites. Consequently, the destabilization of these species facilitates their coupling with *OH, leading to enhanced EOR activity and poison resistance. Meanwhile, we found that amorphous SnOx layers possess rich Sn–Sn ensembles with stronger adsorption of *OH, providing a shuttling path of hydroxide ions to surface sites. [ABSTRACT FROM AUTHOR]- Published
- 2020
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19. Elucidation of site structures and CO oxidation kinetics of the Ir1/TiO2single-atom catalyst
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Liu, Liping, Thompson, Coogan B., Mou, Tianyou, Karim, Ayman M., and Xin, Hongliang
- Abstract
Recently, single-atom catalysts (SACs) have attracted significant attention because of their efficient utilization of precious metals and unique properties. However, the rational design of improved SACs faces tremendous challenges, largely as a result of elusive active sites and complex reaction mechanisms under operating conditions. Herein, by combining density functional theory (DFT) calculations and uncertainty analysis with microkinetic modeling (MKM), we elucidated the local configurations and CO oxidation mechanisms of Ir1/TiO2catalysts under operating conditions. Our findings reveal that Ir1/TiO2catalysts do not have static site configurations or CO oxidation mechanisms; instead, they dynamically adapt their site structures, kinetically relevant steps, and reaction pathways in response to varying conditions. However, largely as a result of intrinsic uncertainties of DFT energetics, kinetic modeling is limited in fully capturing detailed reaction kinetics. Nevertheless, this study sheds light on the complexity of SACs, which is crucial for the rational design of improved site motifs for targeted chemistry.
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- 2024
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20. Theoretical Prediction and Experimental Verification of IrOxSupported on Titanium Nitride for Acidic Oxygen Evolution Reaction
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Han, Xue, Mou, Tianyou, Islam, Arephin, Kang, Sinwoo, Chang, Qiaowan, Xie, Zhenhua, Zhao, Xueru, Sasaki, Kotaro, Rodriguez, José A., Liu, Ping, and Chen, Jingguang G.
- Abstract
Reducing iridium (Ir) catalyst loading for acidic oxygen evolution reaction (OER) is a critical strategy for large-scale hydrogen production via proton exchange membrane (PEM) water electrolysis. However, simultaneously achieving high activity, long-term stability, and reduced material cost remains challenging. To address this challenge, we develop a framework by combining density functional theory (DFT) prediction using model surfaces and proof-of-concept experimental verification using thin films and nanoparticles. DFT results predict that oxidized Ir monolayers over titanium nitride (IrOx/TiN) should display higher OER activity than IrOxwhile reducing Ir loading. This prediction is verified by depositing Ir monolayers over TiN thin films via physical vapor deposition. The promising thin film results are then extended to commercially viable powder IrOx/TiN catalysts, which demonstrate a lower overpotential and higher mass activity than commercial IrO2and long-term stability of 250 h to maintain a current density of 10 mA cm–2. The superior OER performance of IrOx/TiN is further confirmed using a proton exchange membrane water electrolyzer (PEMWE), which shows a lower cell voltage than commercial IrO2to achieve a current density of 1 A cm–2. Both DFT and in situ X-ray absorption spectroscopy reveal that the high OER performance of IrOx/TiN strongly depends on the IrOx-TiN interaction via direct Ir–Ti bonding. This study highlights the importance of close interaction between theoretical prediction based on mechanistic understanding and experimental verification based on thin film model catalysts to facilitate the development of more practical powder IrOx/TiN catalysts with high activity and stability for acidic OER.
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- 2024
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21. Rationalizing Acidic Oxygen Evolution Reaction over IrO2: Essential Role of Hydronium Cation.
- Author
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Mou T, Bushiri DA, Esposito DV, Liu P, and Chen JG
- Abstract
The development of active, stable, and more affordable electrocatalysts for acidic oxygen evolution reaction (OER) is of great importance for the practical application of electrolyzers and the advancement of renewable energy conversion technologies. Currently, IrO2 is the only catalyst with high stability and activity, but a high cost. Further optimization of the catalyst is limited by the lack of understanding of catalytic behaviors at the acid-IrO2 interface. Here, in strong interaction with the experiment, we develop an explicit model based on grand-canonical density function theory (GC-DFT) calculations to describe acidic OER over IrO2. Compared to the explicit models reported previously, hydronium cations (H3O+) are introduced at the electrochemical interface in the current model. As a result, a variation in stable IrO2 surface configuration under the OER operating condition from previously proposed complete *O-coverage to a mixture coverage of *OH and *O is revealed, which is well supported by in situ Raman measurements. In addition, the accuracy of predicted overpotential is increased in comparison with the experimentally measured. More importantly, an alteration of the potential limiting step from previously identified *O → *OOH to *OH → *O is observed, which opens new opportunities to advance the IrO2-based catalysts for acidic OER., (© 2024 Wiley‐VCH GmbH.)
- Published
- 2024
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22. Theoretical Prediction and Experimental Verification of IrO x Supported on Titanium Nitride for Acidic Oxygen Evolution Reaction.
- Author
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Han X, Mou T, Islam A, Kang S, Chang Q, Xie Z, Zhao X, Sasaki K, Rodriguez JA, Liu P, and Chen JG
- Abstract
Reducing iridium (Ir) catalyst loading for acidic oxygen evolution reaction (OER) is a critical strategy for large-scale hydrogen production via proton exchange membrane (PEM) water electrolysis. However, simultaneously achieving high activity, long-term stability, and reduced material cost remains challenging. To address this challenge, we develop a framework by combining density functional theory (DFT) prediction using model surfaces and proof-of-concept experimental verification using thin films and nanoparticles. DFT results predict that oxidized Ir monolayers over titanium nitride (IrO
x /TiN) should display higher OER activity than IrOx while reducing Ir loading. This prediction is verified by depositing Ir monolayers over TiN thin films via physical vapor deposition. The promising thin film results are then extended to commercially viable powder IrOx /TiN catalysts, which demonstrate a lower overpotential and higher mass activity than commercial IrO2 and long-term stability of 250 h to maintain a current density of 10 mA cm-2 . The superior OER performance of IrOx /TiN is further confirmed using a proton exchange membrane water electrolyzer (PEMWE), which shows a lower cell voltage than commercial IrO2 to achieve a current density of 1 A cm-2 . Both DFT and in situ X-ray absorption spectroscopy reveal that the high OER performance of IrOx /TiN strongly depends on the IrOx -TiN interaction via direct Ir-Ti bonding. This study highlights the importance of close interaction between theoretical prediction based on mechanistic understanding and experimental verification based on thin film model catalysts to facilitate the development of more practical powder IrOx /TiN catalysts with high activity and stability for acidic OER.- Published
- 2024
- Full Text
- View/download PDF
23. Heterostructured Bi-Cu 2 S nanocrystals for efficient CO 2 electroreduction to formate.
- Author
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Han X, Mou T, Liu S, Ji M, Gao Q, He Q, Xin H, and Zhu H
- Abstract
The electrochemical CO
2 reduction reaction (ECO2 RR) driven by renewable electricity holds promise to store intermittent energy in chemical bonds, while producing value-added chemicals and fuels sustainably. Unfortunately, it remains a grand challenge to simultaneously achieve a high faradaic efficiency (FE), a low overpotential, and a high current density of the ECO2 RR. Herein, we report the synthesis of heterostructured Bi-Cu2 S nanocrystals via a one-pot solution-phase method. The epitaxial growth of Cu2 S on Bi leads to abundant interfacial sites and the resultant heterostructured Bi-Cu2 S nanocrystals enable highly efficient ECO2 RR with a largely reduced overpotential (240 mV lower than that of Bi), a near-unity FE (>98%) for formate production, and a high partial current density (2.4- and 5.2-fold higher JHCOO than Cu- 2 S and Bi at -1.0 V vs. reversible hydrogen electrode, RHE). Density functional theory (DFT) calculations show that the electron transfer from Bi to Cu2 S at the interface leads to the preferential stabilization of the formate-evolution intermediate (*OCHO).- Published
- 2022
- Full Text
- View/download PDF
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