Analyte transport to micro- and nano-plasmonic structures

Lab on a Chip ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 4117-4127 ◽  
Author(s):  
N. Scott Lynn ◽  
Tomáš Špringer ◽  
Jiří Slabý ◽  
Barbora Špačková ◽  
Michaela Gráfová ◽  
...  
Keyword(s):  
Theoretical Model ◽  
Plasmonic Structures ◽  
Nano Structures ◽  
Simple Theoretical Model ◽  
Fill Fraction ◽  
Analyte Transport

We examine analyte transport to numerous plasmonic micro- and nano-structures having variable fill fraction, and via sensorgram analysis (ssDNA detection), we show that measured rates of transport match well to a simple theoretical model.

scholarly journals Incumbent and Entrant Bidding in Scoring Rule Auctions: A Study on Italian Canteen Services

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Riccardo Camboni ◽  
Paola Valbonesi
Keyword(s):  
Theoretical Model ◽  
Production Cost ◽  
Specific Information ◽  
Scoring Rule ◽  
The Public ◽  
Simple Theoretical Model ◽  
Original Dataset

AbstractWe empirically investigate incumbents’ and entrants’ bids on an original dataset of 192 scoring rule auctions for canteen services in Italy. Our findings show that winning rebates are lower (i.e., prices paid by the public buyer are higher) when the contract is awarded to the incumbent supplier. This result is not explained by the observable characteristics of the auction or the service awarded. We develop a simple theoretical model showing that the result is consistent with a setting in which the buyer exploits specific information on the incumbent supplier’s production cost.

scholarly journals Market Choices Driven by Reference Groups: A Comparison of Analytical and Simulation Results on Random Networks

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1007
Author(s):  
Michał Ramsza
Keyword(s):  
Theoretical Model ◽  
Reference Group ◽  
Third Party ◽  
Qualitative Behavior ◽  
Reference Groups ◽  
Group Influence ◽  
Simple Theoretical Model ◽  
High Connectivity ◽  
Simulation Results ◽  
Two Equilibria

The present paper reports simulation results for a simple model of reference group influence on market choices, e.g., brand selection. The model was simulated on three types of random graphs, Erdos–Renyi, Barabasi–Albert, and Watts–Strogatz. The estimates of equilibria based on the simulation results were compared to the equilibria of the theoretical model. It was verified that the simulations exhibited the same qualitative behavior as the theoretical model, and for graphs with high connectivity and low clustering, the quantitative predictions offered a viable approximation. These results allowed extending the results from the simple theoretical model to networks. Thus, by increasing the positive response towards the reference group, the third party may create a bistable situation with two equilibria at which respective brands dominate the market. This task is easier for large reference groups.

scholarly journals Onset of natural selection in auto-catalytic heteropolymers

2017 ◽  
Author(s):  
Alexei V. Tkachenko ◽  
Sergei Maslov
Keyword(s):  
Natural Selection ◽  
Theoretical Model ◽  
Information Entropy ◽  
Physical System ◽  
Driving Forces ◽  
Darwinian Evolution ◽  
Living Matter ◽  
Spontaneous Reduction ◽  
Nano Structures ◽  
Opening Up

Reduction of information entropy along with ever-increasing complexity are among the key signatures of living matter. Understanding the onset of such behavior in early prebiotic world is essential for solving the problem of origins of life. To elucidate this transition, we study a theoretical model of information-storing heteropolymers capable of template-assisted ligation and subjected to cyclic non-equilibrium driving forces. We discover that this simple physical system undergoes a spontaneous reduction of the information entropy due to the competition of chains for constituent monomers. This natural-selection-like process ultimately results in the survival of a limited subset of polymer sequences. Importantly, the number of surviving sequences remains exponentially large, thus opening up the possibility of further increase in complexity due to Darwinian evolution. We also propose potential experimental implementations of our model using either biopolymers or artificial nano-structures.

scholarly journals Theoretical Bounds on Electron Energy Filtering in Disordered Nanomaterials

2019 ◽  
Author(s):  
Amro Dodin ◽  
Brian F. Aull ◽  
Roderick R. Kunz ◽  
Adam Willard
Keyword(s):  
Theoretical Model ◽  
Electron Energy ◽  
Energy Levels ◽  
Additional Source ◽  
Discrete Energy ◽  
Energy Filtering ◽  
Simple Theoretical Model ◽  
Particle Polydispersity ◽  
Electron Energy Filtering ◽  
Individual Nanoparticles

This manuscript presents a theoretical model for determining the electron energy filtering properties of nanocomposite materials. Individual nanoparticles can serve as energy filters for tunneling electrons due their discretized energy levels. Nanomaterials comprised of many individual nanoparticles can in principle serve the same purpose, however, particle polydispersity can lead to an additional source of energetic broadening. We describe a simple theoretical model that includes the effects of discrete energy levels and inhomogeneous broadening. We use this model to identify the material parameters needed for effective energy filtering by quantum dot solids.

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