The voltage-dependent dynamic evolution of the electrocatalytic carbon dioxide reduction reaction (CORR) on Cu-based catalysts is still unclear. Herein, a Kinetic Monte Carlo (KMC) model that tracks the evolution of the CORR on the Cu (111)/(100) surface is developed. Using the Density Functional Theory calculated energetics of 178 elementary reactions in CORR toward C-C multispecies production, the KMC model predicted CORR linear sweep voltammetry and potential-dependent product distribution that agree well with experimental observations. Degree of rate control analysis reveals that, on Cu (111), the primary hydrocarbon product is C species CH, and as the working potential increases, its rate-determining step (RDS) changes from CO hydrogenation toward the CHO* formation step into the COH* formation step. The Cu (100) surface is more active toward CH and CHCHOH production with CO* symmetric coupling step as RDS. This KMC model provides important insights into the CORR dynamics on Cu catalysts.
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http://dx.doi.org/10.1021/acs.jpclett.4c03426 | DOI Listing |
J Phys Chem Lett
March 2025
Hebei Provincial Key Laboratory of Green Chemical Technology and High Efficient Energy Saving, School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300130, China.
The voltage-dependent dynamic evolution of the electrocatalytic carbon dioxide reduction reaction (CORR) on Cu-based catalysts is still unclear. Herein, a Kinetic Monte Carlo (KMC) model that tracks the evolution of the CORR on the Cu (111)/(100) surface is developed. Using the Density Functional Theory calculated energetics of 178 elementary reactions in CORR toward C-C multispecies production, the KMC model predicted CORR linear sweep voltammetry and potential-dependent product distribution that agree well with experimental observations.
View Article and Find Full Text PDFPLoS One
March 2025
Institute for Mythological Studies, Shanghai Jiaotong University, Shanghai, China.
Objective: An information security evaluation model based on the K-Means Clustering (KMC) + Decision Tree (DT) algorithm is constructed, aiming to assess its value in evaluating smart city (SC) security. Additionally, the impact of SCs on individuals' mythical experiences is investigated.
Methods: An information security analysis model based on the combination of KMC and DT algorithms is established.
ACS Catal
February 2025
Department of Chemistry, Inorganic Chemistry Lab, University of Oxford, Oxford OX1 3QR, U.K.
The deposition of small transition metal (TM) clusters on transition metal carbides (TMC) gives rise to bifunctional catalysts with multiple active sites. This family of single-cluster catalysts (SCCs) offers exciting opportunities for enabling a wider range of chemical reactions owing to their strong metal-support interactions, which drastically modify the catalytic properties of the supported metal atoms. In this work, we use first-principles Kinetic Monte Carlo (KMC) simulations to investigate the conversion of CO and CH on Pt/HfC, which was identified as the most promising TM/TMC combination in a previous DFT-based high-throughput screening study.
View Article and Find Full Text PDFCancers (Basel)
February 2025
Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.
Molecular triage testing for high-risk human papillomavirus (hrHPV)-based cervical cancer screening can be used in self-sampling, potentially reducing unnecessary colposcopies and increasing attendance. However, its commercial value remains underexplored. This study used headroom analysis to estimate the maximum reimbursable price (MRP) at which molecular testing would be cost-effective for the triage of hrHPV-positive women, compared with cytology.
View Article and Find Full Text PDFPhys Chem Chem Phys
March 2025
Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, India.
The morphology of GaN(0001) thin films grown by molecular beam epitaxy is dependent on the ratio of the gallium to nitrogen flux. Films grown under gallium-rich conditions form smooth surfaces, while those grown under nitrogen-rich conditions result in rough, pitted surfaces. This difference is attributed to the high barrier for surface diffusion of nitrogen, which is remedied by the surfactant effect of gallium under excess gallium conditions.
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