Photophysics of polyaniline: Sequence-length distribution dependence of photoluminescence quenching as studied by fluorescence measurements and Monte Carlo simulations

Polymer ◽  
2012 ◽  
Vol 53 (13) ◽  
pp. 2619-2627 ◽  
Author(s):  
P. Soledad Antonel ◽  
Edgar Völker ◽  
Fernando V. Molina
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Length Distribution ◽  
Sequence Length ◽  
Photoluminescence Quenching ◽  
Fluorescence Measurements

Effects of length dispersity and film fabrication on the sheet resistance of copper nanowire transparent conductors

Nanoscale ◽  
2015 ◽  
Vol 7 (34) ◽  
pp. 14496-14504 ◽  
Author(s):  
James W. Borchert ◽  
Ian E. Stewart ◽  
Shengrong Ye ◽  
Aaron R. Rathmell ◽  
Benjamin J. Wiley ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Sheet Resistance ◽  
Rutherford Backscattering Spectrometry ◽  
Length Distribution ◽  
Area Coverage ◽  
Transparent Conductors ◽  
Treatment Methods ◽  
Copper Nanowire ◽  
Film Fabrication

A combination of Rutherford Backscattering Spectrometry and Monte Carlo simulations were used to characterize the effect of post-treatment methods, area coverage and length distribution on the performance of copper nanowire-based transparent conductors.

Quantitative Estimation of Calcium Dynamics From Ratiometric Measurements: A Direct, Nonratioing Method

2010 ◽  
Vol 103 (2) ◽  
pp. 1130-1144 ◽  
Author(s):  
Sébastien Joucla ◽  
Andreas Pippow ◽  
Peter Kloppenburg ◽  
Christophe Pouzat
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Goodness Of Fit ◽  
Calcium Concentration ◽  
Quantitative Estimation ◽  
Direct Method ◽  
Ccd Camera ◽  
Free Calcium ◽  
Calcium Dynamics ◽  
Fluorescence Measurements

Measuring variations of intracellular free calcium concentration through the changes in fluorescence of a calcium-sensitive dye is a ubiquitous technique in neuroscience. Despite its popularity, confidence intervals (CIs) on the estimated parameters of calcium dynamics models are seldom given. To address this issue, we have developed a two-stage model for ratiometric measurements obtained with a charge-coupled device (CCD) camera. Its first element embeds a parametric calcium dynamics model into a fluorescence intensity model and its second element probabilistically describes the fluorescence measurements by a CCD camera. Using Monte Carlo simulations, we first show that the classical ratiometric transformation gives reliable CIs for time constants only and not baseline calcium concentration nor influx. We then introduce a direct method, which consists of fitting directly and simultaneously the fluorescence transients at both wavelengths, without any data ratioing. This approach uses a probabilistic description of the camera, leading to the construction of meaningful CIs for the calcium parameters. Moreover, using approaches inspired by constrained linear regression, we can take into account the finite precision on calibrated parameters (such as the dye dissociation constant in the cell). These key features are illustrated on simulated data using Monte Carlo simulations. Moreover, we illustrate the strength of the direct method on experimental recordings from insect olfactory interneurons. In particular, we show how to handle a time-dependent buffer concentration, thereby considerably improving our goodness of fit. The direct method was implemented in the open-source software R and is freely distributed in the CalciOMatic package.

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

MONTE CARLO SIMULATIONS OF ELECTRON DRIFT VELOCITIES IN THE NOBLE GASES AND THEIR MIXTURES

1979 ◽  
Vol 40 (C7) ◽  
pp. C7-63-C7-64
Author(s):  
A. J. Davies ◽  
J. Dutton ◽  
C. J. Evans ◽  
A. Goodings ◽  
P.K. Stewart
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Noble Gases ◽  
Electron Drift
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