Coupling Au with BO_(x) matrix induced by Closo-boron cluster for electrochemical synthesis of ammonia

Au is considered as one of the most promising catalysts for nitrogen reduction reaction(NRR),however maximizing the activity utilization rate of Au and understanding the synergistic effects between Au and carriers pose ongoing challenges.Herein,we systematically explore the synergistic catalytic effect of incorporating Au with boron clusters for accelerating NRR kinetics.An in-situ abinitio strategy is employed to construct B-doped Au nanoparticles(2-6 nm in diameter)loaded on BO_(x) substrates(AuBO_(x)),in which B not only modulates the surface electronic structure of Au but also forms strong coupling interactions to stabilize the nanoparticles.The electrochemical results show that Au-BO_(x) possesses excellent NRR activity(NH_(3) yield of 48.52μg h^(-1)mg_(cat)^(-1),Faraday efficiency of 56.18%),and exhibits high stability and reproducibility throughout the electrocatalytic NRR process.Theoretical calculations reveal that the introduction of B induces the formation of both Au dangling bond and Au-B coupling bond.which considerably facilitates the hydrogenation of~*N_(2)^(-)~*NH_(3).The present work provides a new avenue for the preparation of metal-boron materials achieved by one-step reduction and doping process,utilizing boron clusters as reducing and stabilizing agents.

Application and comparison of kernel functions for linear parameter varying model approximation of nonlinear systems

In this paper,a comparative study for kernel-PCA based linear parameter varying(LPV)model approximation of sufficiently nonlinear and reasonably practical systems is carried out.Linear matrix inequalities(LMIs)to be solved in LPV controller design process increase exponentially with the increase in a number of scheduling variables.Fifteen kernel functions are used to obtain the approximate LPV model of highly coupled nonlinear systems.An error to norm ratio of original and approximate LPV models is introduced as a measure of accuracy of the approximate LPV model.Simulation examples conclude the effectiveness of kernel-PCA for LPV model approximation as with the identification of accurate approximate LPV model,computation complexity involved in LPV controller design is decreased exponentially.

Defect-Rich,Candied Haws-Shaped AuPtNi Alloy Nanostructures for Highly Efficient Electrocatalysis

The rational design and synthesis of multimetallic nanostructures(NSs)with rich defects are of significant importance for their diverse applications,including their promising usage as high-efficiency catalysts for alcohol oxidation reaction as a fuel source.Here,we report the synthesis of defect-rich,candied haws-shaped AuPtNi NSs using presynthesized gold(Au)nanowires as templates.The ternary AuPtNi NSs possess rich defects such as twins,stacking faults,and atomic steps.Impressively,the AuPtNi NSs exhibited excellent mass and specific activities toward methanol and ethanol oxidation reactions under acidic conditions.Our current work paves the way for the rational design and controlled synthesis of defect-rich multimetallic NSs to boost their performances in catalytic reactions.