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题名: Investigation on Energetic Optimization Problems of Stochastic Thermodynamics with Iterative Dynamic Programming
作者: Gong, Linchen ;  Li, Ming ;  Ou-Yang, Zhong-can
刊名: COMMUNICATIONS IN COMPUTATIONAL PHYSICS
出版日期: 2010
卷号: 7, 期号:5, 页码:904-926
关键词: MOLECULAR MOTORS ;  EFFICIENCY ;  DNA ;  MACHINES ;  ENGINES ;  MODEL
学科分类: Physics
通讯作者: Li, M , Chinese Acad Sci, Grad Univ, Coll Phys Sci, Beijing 100190, Peoples R China
部门归属: [Li, M] Chinese Acad Sci, Grad Univ, Coll Phys Sci, Beijing 100190, Peoples R China; [Gong, LC; Ou-Yang, ZC] Tsinghua Univ, Ctr Adv Study, Beijing 100084, Peoples R China; [Ou-Yang, ZC] Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China
英文摘要: The energetic optimization problem, e.g., searching for the optimal switching protocol of certain system parameters to minimize the input work, has been extensively studied by stochastic thermodynamics. In this work, we study this problem numerically using iterative dynamic programming. The model systems under investigation are toy actuators consisting of spring-linked beads with loading force imposed on both ending beads. For the simplest case, i.e., a one-spring actuator driven by tuning the stiffness of the spring, we compare the optimal control protocol of the stiffness for both the overdamped and the underdamped situations, and discuss how inertial effects alter the irreversibility of the driven process and thus modify the optimal protocol. Then, we study the systems with multiple degrees of freedom by constructing oligomer actuators, in which the harmonic interaction between the two ending beads is tuned externally. With the same rated output work, actuators of different constructions demand different minimal input work, reflecting the influence of the internal degrees of freedom on the performance of the actuators.
资助者: National Basic Research Program of China (973 Program)[2007CB935903]; NSFC[10847165]
收录类别: SCI
原文出处: 查看原文
WOS记录号: WOS:000277862700002
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/5115
Appears in Collections:理论物理所1978-2010年知识产出_期刊论文

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Recommended Citation:
Gong, Linchen,Li, Ming,Ou-Yang, Zhong-can. Investigation on Energetic Optimization Problems of Stochastic Thermodynamics with Iterative Dynamic Programming[J]. COMMUNICATIONS IN COMPUTATIONAL PHYSICS,2010,7(5):904-926.
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