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The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling

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2020
Authors
Jakšić, Olga
Jokić, Ivana
Jakšić, Zoran
Mladenović, Ivana
Radulović, Katarina
Frantlović, Miloš
Article (Published version)
,
Springer Nature
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Abstract
In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. ...Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.

Keywords:
adsorption kinetics / machine learning algorithms / plasmonic sensing / stochastic simulation algorithms
Source:
Applied Physics A, 2020, 126, 342-
Publisher:
  • Springer Nature
Projects:
  • Micro- Nanosystems and Sensors for Electric Power and Process Industry and Environmental Protection (RS-32008)
Note:
  • The peer-reviewed version: http://cer.ihtm.bg.ac.rs/handle/123456789/3493

DOI: 10.1007/s00339-020-03524-3

ISSN: 0947-8396

WoS: 000526931900003

Scopus: 2-s2.0-85083375372
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URI
http://cer.ihtm.bg.ac.rs/handle/123456789/3494
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