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DNA分子计算模型 总被引:3,自引:0,他引:3
The field of practical DNA computing opened in 1994 with Adleman's paper,in which a laboratory experi-ment involving DNA molecules was used to solve a small instance of the Hamiltonian Path problem. The characteris-tic of this computation is its powerful ability in parallelism,its huge storage and high energy efficiency. This paper mainly introduces the principles of DNA computing and the sticker computing model. 相似文献
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《Robotics and Autonomous Systems》2014,62(7):976-1001
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Sticker systems with complex structures 总被引:3,自引:0,他引:3
Y. Sakakibara S. Kobayashi 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2001,5(2):114-120
In this paper, we propose a variant of sticker systems which uses molecules with complex structures. Since the original sticker
systems (Paun et al. (1998) [2, 8]) working on double strands of DNA have been studied as a formal model for self-assembly
in DNA computing, we extend the sticker systems to working on more complex (higher-order) structures of DNA molecules. The
advantage of sticker systems with complex structures is that augmented with weak codings we can obtain the characterization
of recursively enumerable languages by using only sticking (hybridization) operations for complex molecules, while the usual
sticker systems require more complicated operations such as the simultaneous use of couples of dominoes or coherent computations
besides morphisms. 相似文献
4.
Parallel bioinspired algorithms for NP complete graph problems 总被引:1,自引:0,他引:1
Israel Marck Martínez-Pérez Karl-Heinz ZimmermannAuthor Vitae 《Journal of Parallel and Distributed Computing》2009
It is no longer believed that DNA computing will outperform digital computers when it comes to the computation of intractable problems. In this paper, we emphasise the in silico implementation of DNA-inspired algorithms as the only way to compete with other algorithms for solving NP-complete problems. For this, we provide sticker algorithms for some of the most representative NP-complete graph problems. The simple data structures and bit-vertical operations make them suitable for some parallel architectures. The parallel algorithms might solve either moderate-size problems in an exact manner or, when combined with a heuristic, large problems in polynomial time. 相似文献
5.
Using sticker model of DNA computing to solve domatic partition, kernel and induced path problems 总被引:1,自引:0,他引:1
DNA computing as a powerful interdisciplinary field has been found to be very useful and applicable for solving NP-complete and intractable problems because of its huge power in parallel processing. In recent years many efforts have been done to solve NP-complete and time consuming problems with the help of DNA computing. In this paper, we use sticker model (one of the most well-known models of DNA computing) to present three DNA algorithms for solving three different NP-complete graph-based problems for the first time: domatic partition, kernel and induced path. Also we have simulated these algorithms to show their correctness. 相似文献
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The languages generated by Bidirectional sticker systems with complex structure (BSS) are defined; The classifications of BSS are proposed and the generative capacity is discussed. The characterization of recursively enumerable language is represented by means of the above languages. 相似文献
8.
Polymer-Solid Interface Connectivity and Adhesion: Design of a Bio-Based Pressure Sensitive Adhesive
Adhesion at polymer-solid interfaces was explored for a new bio-based pressure sensitive adhesive (PSA) in terms of sticker groups, φX, on the polymer phase, receptor groups, φY, on the solid surface, and the bond strength of the sticker-receptor X-Y acid-base interaction, χ. The polymer-solid interface restructuring models of Gong and Lee et al. were extended with new percolation models of entanglements and interface strength to determine the optimal sticker group concentration, φ?X. For the general case where φY and χ are constant, it is predicted that when φX < φ?X, that the critical peel energy behaves as G1c ~ φX/φ?X and the locus of failure is adhesive between the polymer and the solid. However, when φX > φ?X, failure occurs cohesively in a polymer-polymer interface adjacent to the solid and the strength decreases as G1c ~ φ?X/φX. The switch from adhesive to cohesive failure can be understood in terms of the changes in the chain conformations of the adhered chains and their decreasing interpenetration, Xi, with the bulk chains, via Xi ~ 1/r, where r = χφXφY. The optimal value of φX which maximizes the adhesion and determines the mode of failure is given by φ?X ≈ 0.129/C∝, and for typical values of the characteristic ratio C∝ in the range 7–20, φ?X ≈ 1% mole fraction, corresponding to about 2 sticker groups per entanglement molecular weight, Me. This result was verified for a bio-based PSA synthesized from an acrylated high oleic fatty acid, which was copolymerized with maleic anhydride as the sticker group. The observed behavior is counterintuitive to the current wisdom for the effect of acid-based interactions on adhesion, where the strength is expected to increase with the number of X-Y contacts. The surprisingly low value of φ?X ≈ 1% sticker groups which maximizes the adhesion strength can now be readily calculated using the percolation model of entanglements and fracture. 相似文献
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