2010
DOI: 10.1038/nchem.622
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Geometry-controlled kinetics

Abstract: It has long been appreciated that the transport properties of molecules can control reaction kinetics. This effect can be characterized by the time it takes a diffusing molecule to reach a target-the first-passage time (FPT). Determining the FPT distribution in realistic confined geometries has until now, however, seemed intractable. Here, we calculate this FPT distribution analytically and show that transport processes as varied as regular diffusion, anomalous diffusion, and diffusion in disordered media and … Show more

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Cited by 357 publications
(456 citation statements)
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“…In particular, the role of compact versus noncompact explorations has been revealed in generality [16]. Much less is known about MFPT properties in potential landscapes.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, the role of compact versus noncompact explorations has been revealed in generality [16]. Much less is known about MFPT properties in potential landscapes.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, emphasis has been given to geometry controlled reaction kinetics (39). In particular, the role of the first passage time and its moments in determining reaction kinetics on fractal geometries has been elucidated.…”
Section: Discussionmentioning
confidence: 99%
“…This interest in the concept of FPTs is motivated by the crucial role played by FPTs in various contexts, including diffusion limited chemical reactions [3][4][5], the spreading of diseases [6], or target search processes [7][8][9][10]. A general formalism for the calculation of the mean first-passage time (MFPT) of a scale-invariant random process r t in a confined domain of volume V has recently been derived in the large V limit in [11,12], and the full distribution of the FPT has been obtained [13]. These results highlight the asymptotic dependence of the MFPT T and its higher order moments on both the source-to-target distance r and on the confinement volume in the case of scale-invariant processes, which can be characterized by the walk dimension d w (defined by r 2 t ∝ t 2/dw ) and the fractal dimension d f of the support of the random process [14].…”
Section: Introductionmentioning
confidence: 99%