Ramón Manzorro
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View article: Influence of the Gap Distance and Morphology on the Plasmon Modes of Gold Nanocube Dimers
Influence of the Gap Distance and Morphology on the Plasmon Modes of Gold Nanocube Dimers Open
Plasmonic metallic nanostructures have gained significant attention due to their ability to confine light at the nanoscale. In this study, the influence of minor morphological variations by truncation of different planes on the plasmonic r…
View article: Role of ceria nanostructures in modulating the CO preferential oxidation activity and selectivity of Au/TiO2 and Au/YSZ catalysts
Role of ceria nanostructures in modulating the CO preferential oxidation activity and selectivity of Au/TiO2 and Au/YSZ catalysts Open
View article: Defect engineering of core-shell systems based on 2D transition metal dichocalgenides
Defect engineering of core-shell systems based on 2D transition metal dichocalgenides Open
View article: Chemical and morphological stability study of copper oxide nanocubes in controlled and non-controlled atmospheres
Chemical and morphological stability study of copper oxide nanocubes in controlled and non-controlled atmospheres Open
View article: Defects engineering of Au@MoS2 nanostructures for conventional and plasmon-enhanced hydrogen evolution reaction
Defects engineering of Au@MoS2 nanostructures for conventional and plasmon-enhanced hydrogen evolution reaction Open
View article: Unsupervised Deep Video Denoising
Unsupervised Deep Video Denoising Open
Deep convolutional neural networks (CNNs) for video denoising are typically trained with supervision, assuming the availability of clean videos. However, in many applications, such as microscopy, noiseless videos are not available. To addr…
View article: Developing and Evaluating Deep Neural Network-Based Denoising for Nanoparticle TEM Images with Ultra-Low Signal-to-Noise
Developing and Evaluating Deep Neural Network-Based Denoising for Nanoparticle TEM Images with Ultra-Low Signal-to-Noise Open
A deep convolutional neural network has been developed to denoise atomic-resolution transmission electron microscope image datasets of nanoparticles acquired using direct electron counting detectors, for applications where the image signal…
View article: Describing Atomic-Level Fluxional Behavior in Nanoparticles
Describing Atomic-Level Fluxional Behavior in Nanoparticles Open
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View article: Quantifying fluxional behavior in catalytic CeO<sub>2</sub> nanoparticles: toward thermodynamic insight into the stability of surface atomic structures
Quantifying fluxional behavior in catalytic CeO<sub>2</sub> nanoparticles: toward thermodynamic insight into the stability of surface atomic structures Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: Atom Detection in Time-resolved TEM Image Series: Application of Computer Vision Techniques to Noise-degraded Frames
Atom Detection in Time-resolved TEM Image Series: Application of Computer Vision Techniques to Noise-degraded Frames Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: A Deep Learning Approach to Retrieving 3D Structure Information from High Resolution Time-Resolved TEM Images
A Deep Learning Approach to Retrieving 3D Structure Information from High Resolution Time-Resolved TEM Images Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: Adaptive Denoising via GainTuning
Adaptive Denoising via GainTuning Open
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets. These models achieve the current state of the art, but they have difficulties generalizing when applied to data that deviate from the trai…
View article: Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy Open
Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural networks (CNNs) provide the current state of the art in denoising natural images, where they produce impressive results. However, their potential has bar…
View article: Structural modulation and direct measurement of subnanometric bimetallic PtSn clusters confined in zeolites
Structural modulation and direct measurement of subnanometric bimetallic PtSn clusters confined in zeolites Open
View article: Understanding the Complex Structure of CeO<sub>2</sub>/TiO<sub>2</sub> Nanocatalyst. Key Contributions of the Combined Use of HAADF, X-EDS and EELS Spectroscopies
Understanding the Complex Structure of CeO<sub>2</sub>/TiO<sub>2</sub> Nanocatalyst. Key Contributions of the Combined Use of HAADF, X-EDS and EELS Spectroscopies Open
View article: Evaluación y Análisis de la Calidad en Prácticas de Laboratorio de Química Inorgánica
Evaluación y Análisis de la Calidad en Prácticas de Laboratorio de Química Inorgánica Open
Formato artículo para difundir los resultados del proyecto de innovación UCA - AAA_14_059, titulado "EVALUACIÓN Y MEJORA DE LAS PRÁCTICAS DE TALLER Y LABORATORIO DE LAS ÁREAS DE CONOCIMIENTO DE CIENCIA DE LOS MATERIALES E INGENIERÍA METALÚ…