Main-group metal(s-and p-block)single atom catalysts(SACs),in which metal cations stabilized by nitrogen atoms(metal-Nx moieties),have emerged as efficient electrocatalysts for oxygen reduction reactions(ORR).However,...Main-group metal(s-and p-block)single atom catalysts(SACs),in which metal cations stabilized by nitrogen atoms(metal-Nx moieties),have emerged as efficient electrocatalysts for oxygen reduction reactions(ORR).However,the closed d shells over main-group metals-based catalysts hinder design of more efficient catalysts than state-of-the-art non-precious Fe single atom catalysts(Fe_(1)/NC).Here we report a p-block Bi-based single-atom electrocatalyst with electronic structure controlled by multi-shell that exhibits high catalytic performance for ORR in alkaline media.Our data suggest the catalyst is composed of single Bi atoms coordinated with four nitrogen atoms on sulfur-phosphorus co-doped carbon nanocages(BiN_(4)/PSNC).The catalyst gives a high half-wave potential of 0.94 V for 4 e^(-)ORR and performs negligible attenuation after 10,000 cycles.In addition,the Zn-air battery assembled by BiN_(4)/PSNC achieves a remarkable peak power density of 452.8 mW·cm^(-2),exceeding other reported main-group metal SACs and most d-band metal SACs.A range of analytical techniques combined with density functional theory calculations reveal that the introduction of S and P sites induces significant electronic modulations to the BiN_(4)active sites,P and S doping promote the electrical activity of BiN_(4)and improve the overall intersite electron transfer within BiN_(4)/PSNC optimizing the adsorption energy of the oxygen intermediates.The 4e-ORR activity was improved.This work offers a unique pathway in designing main-group metals-based SACs for energy conversion devices.展开更多
Artificial bee colony (ABC) algorithm is one of the popular swarm intelligence algorithms. ABC has been developed by being inspired foraging and waggle dance behaviors of real bee colonies in 2005. Since its invention...Artificial bee colony (ABC) algorithm is one of the popular swarm intelligence algorithms. ABC has been developed by being inspired foraging and waggle dance behaviors of real bee colonies in 2005. Since its invention in 2005, many ABC models have been proposed in order to solve different optimization problems. In all the models proposed, there are only one scout bee and a constant limit value used as control parameters for the bee population. In this study, the performance of ABC algorithm on the numeric optimization problems was analyzed by using different number of scout bees and limit values. Experimental results show that the results obtained by using more than one scout bee and different limit values, are better than the results of basic ABC. Therefore, the control parameters of the basic ABC should be tuned according to given class of optimization problems. In this paper, we propose reasonable value ranges of control parameters for the basic ABC in order to obtain better results on the numeric optimization problems.展开更多
基金supported by the Key Laboratory of High-Performance fibers&the National Natural Science Foundation of China(No.52103355).
文摘Main-group metal(s-and p-block)single atom catalysts(SACs),in which metal cations stabilized by nitrogen atoms(metal-Nx moieties),have emerged as efficient electrocatalysts for oxygen reduction reactions(ORR).However,the closed d shells over main-group metals-based catalysts hinder design of more efficient catalysts than state-of-the-art non-precious Fe single atom catalysts(Fe_(1)/NC).Here we report a p-block Bi-based single-atom electrocatalyst with electronic structure controlled by multi-shell that exhibits high catalytic performance for ORR in alkaline media.Our data suggest the catalyst is composed of single Bi atoms coordinated with four nitrogen atoms on sulfur-phosphorus co-doped carbon nanocages(BiN_(4)/PSNC).The catalyst gives a high half-wave potential of 0.94 V for 4 e^(-)ORR and performs negligible attenuation after 10,000 cycles.In addition,the Zn-air battery assembled by BiN_(4)/PSNC achieves a remarkable peak power density of 452.8 mW·cm^(-2),exceeding other reported main-group metal SACs and most d-band metal SACs.A range of analytical techniques combined with density functional theory calculations reveal that the introduction of S and P sites induces significant electronic modulations to the BiN_(4)active sites,P and S doping promote the electrical activity of BiN_(4)and improve the overall intersite electron transfer within BiN_(4)/PSNC optimizing the adsorption energy of the oxygen intermediates.The 4e-ORR activity was improved.This work offers a unique pathway in designing main-group metals-based SACs for energy conversion devices.
基金supported by the Selcuk University Scientific Projects Coordinatorship
文摘Artificial bee colony (ABC) algorithm is one of the popular swarm intelligence algorithms. ABC has been developed by being inspired foraging and waggle dance behaviors of real bee colonies in 2005. Since its invention in 2005, many ABC models have been proposed in order to solve different optimization problems. In all the models proposed, there are only one scout bee and a constant limit value used as control parameters for the bee population. In this study, the performance of ABC algorithm on the numeric optimization problems was analyzed by using different number of scout bees and limit values. Experimental results show that the results obtained by using more than one scout bee and different limit values, are better than the results of basic ABC. Therefore, the control parameters of the basic ABC should be tuned according to given class of optimization problems. In this paper, we propose reasonable value ranges of control parameters for the basic ABC in order to obtain better results on the numeric optimization problems.
