The present study aims at improving the ability of the canonical genetic programming algorithm to solve problems, and describes an improved genetic programming (IGP). The proposed method can be described as follows: t...The present study aims at improving the ability of the canonical genetic programming algorithm to solve problems, and describes an improved genetic programming (IGP). The proposed method can be described as follows: the first inves-tigates initializing population, the second investigates reproduction operator, the third investigates crossover operator, and the fourth investigates mutation operation. The IGP is examined in two domains and the results suggest that the IGP is more effective and more efficient than the canonical one applied in different domains.展开更多
Particle size governs the electronic and geometric structure of metal nanoparticles(NPs),shaping their catalytic performances in heterogeneous catalysis.However,precisely controlling the size of active metal NPs and t...Particle size governs the electronic and geometric structure of metal nanoparticles(NPs),shaping their catalytic performances in heterogeneous catalysis.However,precisely controlling the size of active metal NPs and thereafter their catalytic activities remain an affordable challenge in ultra-deep oxidative desulfurization(ODS)field.Herein,a series of highly-efficient VO_(x)/boron nitride nanosheets(BNNS)@TiO_(2)heterostructures,therein,cetyltrimethylammonium bromide cationic surfactants serving as intercalation agent,BNNS and MXene as precursors,with various VO_(x)NP sizes were designed and controllably constructed by a facile intercalation confinement strategy.The properties and structures of the prepared catalysts were systematically characterized by different technical methods,and their catalytic activities were investigated for aerobic ODS of dibenzothiophene(DBT).The results show that the size of VO_(x)NPs and V^(5+)/V^(4+)play decisive roles in the catalytic aerobic ODS of VO_(x)/BNNS@TiO_(2)catalysts and that VO_(x)/BNNS@TiO_(2)-2 exhibits the highest ODS activity with 93.7%DBT conversion within 60 min under the reaction temperature of 130℃and oxygen flow rate of 200 mL·min-1,which is due to its optimal VO_(x)dispersion,excellent reducibility and abundant active species.Therefore,the finding here may contribute to the fundamental understanding of structure-activity in ultradeep ODS and inspire the advancement of highly-efficient catalyst.展开更多
文摘The present study aims at improving the ability of the canonical genetic programming algorithm to solve problems, and describes an improved genetic programming (IGP). The proposed method can be described as follows: the first inves-tigates initializing population, the second investigates reproduction operator, the third investigates crossover operator, and the fourth investigates mutation operation. The IGP is examined in two domains and the results suggest that the IGP is more effective and more efficient than the canonical one applied in different domains.
基金supported by the National Natural Science Foundation of China(Grant Nos.22178154 and 22002050)the Postdoctoral Science Foundation of China(Grant Nos.2022T150765 and 2020M683154)+1 种基金Project of Jiangsu University Senior Talents Foundation(Grant No.20JDG35)National Engineering Laboratory for Mobile Source Emission Control Technology(Grant No.NELMS2020B01).
文摘Particle size governs the electronic and geometric structure of metal nanoparticles(NPs),shaping their catalytic performances in heterogeneous catalysis.However,precisely controlling the size of active metal NPs and thereafter their catalytic activities remain an affordable challenge in ultra-deep oxidative desulfurization(ODS)field.Herein,a series of highly-efficient VO_(x)/boron nitride nanosheets(BNNS)@TiO_(2)heterostructures,therein,cetyltrimethylammonium bromide cationic surfactants serving as intercalation agent,BNNS and MXene as precursors,with various VO_(x)NP sizes were designed and controllably constructed by a facile intercalation confinement strategy.The properties and structures of the prepared catalysts were systematically characterized by different technical methods,and their catalytic activities were investigated for aerobic ODS of dibenzothiophene(DBT).The results show that the size of VO_(x)NPs and V^(5+)/V^(4+)play decisive roles in the catalytic aerobic ODS of VO_(x)/BNNS@TiO_(2)catalysts and that VO_(x)/BNNS@TiO_(2)-2 exhibits the highest ODS activity with 93.7%DBT conversion within 60 min under the reaction temperature of 130℃and oxygen flow rate of 200 mL·min-1,which is due to its optimal VO_(x)dispersion,excellent reducibility and abundant active species.Therefore,the finding here may contribute to the fundamental understanding of structure-activity in ultradeep ODS and inspire the advancement of highly-efficient catalyst.
