Nonstandard Convergence to Jamming in Random Sequential Adsorption: The Case of Patterned One-Dimensional Substrates
Arjun Verma, Vladimir Privman

TL;DR
This paper investigates the asymptotic behavior of particle deposition in random sequential adsorption on patterned one-dimensional substrates, revealing new convergence laws and gap-size distribution behaviors at large times.
Contribution
It demonstrates that the traditional assumptions about gap-size distributions at large times need to be generalized, introducing new regimes with linear vanishing and threshold properties.
Findings
Gap-size distribution can linearly vanish at zero gap size.
A threshold property can develop, eliminating small gaps below a certain size.
New power-law and exponential convergence behaviors are identified.
Abstract
We study approach to the large-time jammed state of the deposited particles in the model of random sequential adsorption. The convergence laws are usually derived from the argument of Pomeau which includes the assumption of the dominance, at large enough times, of small landing regions into each of which only a single particle can be deposited without overlapping earlier deposited particles and which, after a certain time are no longer created by depositions in larger gaps. The second assumption has been that the size distribution of gaps open for particle-center landing in this large-time small-gaps regime is finite in the limit of zero gap size. We report numerical Monte Carlo studies of a recently introduced model of random sequential adsorption on patterned one-dimensional substrates that suggest that the second assumption must be generalized. We argue that a region exists in the…
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