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Artificial bioconversion of carbon dioxide 被引量:5
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作者 Ting-Ting Zhao guang-hui feng +5 位作者 Wei Chen Yan-Fang Song Xiao Dong Gui-Hua Li Hai-Jiao Zhang Wei Wei 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 北大核心 2019年第10期1421-1437,共17页
CO2 is not only the most important greenhouse gas but also an important resource of elemental carbon and oxygen.From the perspective of resource and energy strategy,the conversion of CO2 to chemicals driven by renewab... CO2 is not only the most important greenhouse gas but also an important resource of elemental carbon and oxygen.From the perspective of resource and energy strategy,the conversion of CO2 to chemicals driven by renewable energy is of significance,since it can not only reduce carbon emission by the utilization of CO2 as feedstock but also store low-grade renewable energy as high energy density chemical energy.Although studies on photoelectrocatalytic reduction of CO2 using renewable energy are increasing,artificial bioconversion of CO2 as an important novel pathway to synthesize chemicals has attracted more and more attention.By simulating the natural photosynthesis process of plants and microorganisms,the artificial bioconversion of CO2 can efficiently synthesize chemicals via a designed and constructed artificial photosynthesis system.This review focuses on the recent advancements in artificial bioreduction of CO2,including the key techniques,and artificial biosynthesis of compounds with different carbon numbers.On the basis of the aforementioned discussions,we present the prospects for further development of artificial bioconversion of CO2 to chemicals. 展开更多
关键词 Carbon dioxide Artificial bioconversion Solar energy Carbon fixation Chemical compound
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Structure-Preserving Algorithms for a Class of Dynamical Systems
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作者 Ling-shu Wang guang-hui feng 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2007年第1期161-176,共16页
In this paper, we study structure-preserving algorithms for dynamical systems defined by ordinary differential equations in R^n The equations are assumed to be of the form y^· = A(y) + D(y) + R(y), where ... In this paper, we study structure-preserving algorithms for dynamical systems defined by ordinary differential equations in R^n The equations are assumed to be of the form y^· = A(y) + D(y) + R(y), where A(y) is the conservative part subject to (A(y), y) = 0; D(y) is the damping part or the part describing the coexistence of damping and expanding; R(y) reflects strange phenomenon of the system. It is shown that the numerical solutions generated by the symplectic Runge-Kutta(SRK) methods with bi 〉 0 ( i = 1,..., s) have long-time approximations to the exact ones, and these methods can describe the structural properties of the quadratic energy for these systems. Some numerical experiments and backward error analysis also show that these methods are better than other methods including the general algebraically stable Runge-Kutta(RK)methods. 展开更多
关键词 SRK methods numerical experiment backward error analysis
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