@article { ISI:000243655000034, title = {Blocking effects in irreversible adsorption of linear macromolecules}, journal = {Surface Science}, volume = {601}, number = {1}, year = {2007}, month = {JAN}, pages = {274-279}, publisher = {ELSEVIER SCIENCE BV}, type = {JAN}, address = {PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}, abstract = {

{A new variant of random sequential adsorption (RSA), namely random sequential ballistic adsorption (RSBA), is proposed to explore the possible role of blocking effects in the adsorption dynamics of ballistically arriving objects. These objects upon adsorption can protrude outside the substrate and in turn can obstruct and hence reject the adsorption of newly arriving objects. Adsorption of linear macromolecules (modeled as infinitesimally thin needles), on a two-dimensional continuum substrate is studied using RSBA model. It is shown analytically that in late time regime, the number n(t) of adsorbed objects at time t follows a power law n(t) similar to t(alpha), as in RSA, but with a different exponent

}, keywords = {Adsorption, adsorption kinetics, Monte Carlo simulations, random sequential adsorption (RSA)}, issn = {0039-6028}, doi = {10.1016/j.susc.2006.09.031}, author = {Shelke, Pradip B. and Banpurkar, Arun G. and Ogale, S. B. and Limaye, A. V.} } @article { ISI:000251153900031, title = {Impact of orientational distribution of adsorbing objects on dynamics of Random Sequential Ballistic Adsorption (RSBA) dynamics}, journal = {Surface Science}, volume = {601}, number = {21}, year = {2007}, month = {NOV}, pages = {5010-5015}, publisher = {ELSEVIER SCIENCE BV}, type = {Article}, address = {PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}, abstract = {

Recently, by proposing a new variant of Random Sequential Adsorption (RSA) namely Random Sequential Ballistic Adsorption (RSBA) model [Pradip B. Shelke, A.G. Banpurkar, S.B. Ogale, A.V. Limaye, Surf. Sci. 601 (2007) 274], we addressed the issue of adsorption dynamics of extended objects where the objects, upon adsorption, protrude outside the substrate. This study brought out the role of the arriving trajectory in the adsorption dynamics. In the present work the possible role of the orientational distribution of the arriving objects in the RSBA dynamics is investigated. The dynamics of RSBA of needles (line segments) is studied analytically and by computer simulation for different types of theta distributions of arriving needles, theta being the angle made by the arriving needle with normal to the substrate. Three types of theta distributions, namely a uniform distribution over the range (0, pi/2), a Gaussian distribution and a distribution uniform over the solid angle, are considered. Analytical treatment establishes that in all the three cases, the number n(t) of adsorbed objects at a late time t follows a power law n(t) similar to t(alpha), and the exponent a depends on the specifics of the theta distribution. In general, for distribution f(theta) proportional to theta(beta), for theta -\> 0, alpha is found to be 2/(beta + 3). The simulation results are in excellent agreement with the analytical findings and together they reveal that the orientational distribution of arriving objects has significant consequences for the Random Sequential Ballistic Adsorption (RSBA) process. (C) 2007 Elsevier B.V. All rights reserved.

}, keywords = {Adsorption, adsorption kinetics, Monte Carlo simulations, random sequential adsorption (RSA)}, issn = {0039-6028}, author = {Shelke, Pradip B. and Banpurkar, Arun G. and Ogale, Satishchandra B. and Limaye, A. V.} } @article { ISI:000251070500021, title = {Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes}, journal = {European Journal of Operational Research}, volume = {185}, number = {3}, year = {2008}, month = {MAR}, pages = {1213-1229}, publisher = {ELSEVIER SCIENCE BV}, address = {PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}, abstract = {

A hybrid methodology, viz., multicanonical jump walk annealing assisted by tabu list (MJWAT) is proposed for solving dynamic optimization problems in chemically reacting systems. This method combines the power of multicanonical sampling with the beneficial features of simulated annealing. Incorporating tabu list further enhances the efficiency of the method. The superior performance of the MJWAT is highlighted with the help of five benchmark case studies. (C) 2006 Elsevier B.V. All rights reserved.

}, keywords = {dynamic optimization, metaheuristics, Monte Carlo simulations, multicanonical algorithms, simulated annealing, tabu conditions}, issn = {0377-2217}, doi = {10.1016/j.ejor.2006.06.049}, author = {Shelokar, P. S. and Jayaraman, Valadi K. and Kulkarni, B. D.} }