S. I. Molina

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Motyxia species are bioluminescent, producing a greenish-blue light that gradually intensifies when the millipede is disturbed (Figure 1). Currently, eight of the 12,000 the 12,000 described millipede species are are known to be bioluminescent [5,6]. Here, we show that these species comprise a single clade and are geographically restricted to three counties(More)
The wavelet packet transform gives information in both the time and frequency domains, and it is very useful for describing nonstationary signals like seismograms. Moreover, this structure is dependent on the signal under study; hence we can choose the time–frequency decomposition more appropriate for every signal. In this article, we propose a new method(More)
We present the mapping of the full plasmonic mode spectrum for single and aggregated gold nanoparticles linked through DNA strands to a silicon nitride substrate. A comprehensive analysis of the electron energy loss spectroscopy images maps was performed on nanoparticles standing alone, dimers, and clusters of nanoparticles. The experimental results were(More)
Non-isolated nanoparticles show a plasmonic response that is governed by the localized surface plasmon resonance (LSPR) collective modes created by the nanoparticle aggregates. The individual and collective LSPR modes of silver nanoparticle aggregated by covalent binding by means of bifunctional molecular linkers are described in this study. Individual(More)
The 3D distribution of self-assembled stacked quantum dots (QDs) is a key parameter to obtain the highest performance in a variety of optoelectronic devices. In this work, we have measured this distribution in 3D using a combined procedure of needle-shaped specimen preparation and electron tomography. We show that conventional 2D measurements of the(More)
The finite elements method (FEM) is a useful tool for the analysis of the strain state of semiconductor heterostructures. It has been used for the prediction of the nucleation sites of stacked quantum dots (QDs), but often using either simulated data of the atom positions or two-dimensional experimental data, in such a way that it is difficult to assess the(More)
In this work, photomodulated transmittance (PT) has been applied to investigate the energy gap of GaBiAs layers grown on (0 0 1) and (3 11)B GaAs substrates. In PT spectra, a clear resonance has been observed below the GaAs edge. This resonance has been attributed to the energy gap-related absorption in GaBiAs. The energy and broadening of PT resonances(More)
Short-period seismographs of the vertical component have a frequency response similar to a bandpass filter with a low cutoff frequency around 1 Hz. This instrument's response distorts in some way the interesting signal that arrives at the sensor. In this case, the aim of the deconvolution is at recover the signal as it arrives at the sensor, since this(More)
In this paper we show how neural networks can be used as powerful tools for quantitative extraction of relevant information from high resolution transmission electron microscopy (HRTEM) images. Different data preprocessing and modelling strategies (including Multilayer Perceptrons and Probabilistic Neural Networks) were analyzed. The methodology has been(More)
In this paper we show how several fields of Advanced Computing (Pattern Recognition, Neural Networks and Machine Learning) are powerful tools for the analysis and manipulation of High Resolution Transmission Electron Microscopy images. A specific task has been designed for the determination of thickness and defocus from High Resolution Transmission Electron(More)
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