Layer (electronics)
View article: Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition Open
Actualmente diversas investigaciones se han enfocado en analizar a partir de videos de alta velocidad, características de las descargas eléctricas atmosféricas con el fin de adquirir mejor comprensión del fenómeno, que conlleva entre otros…
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Additive manufacturing of metals Open
This book is an exciting collection of research articles that offer a unique view into the fast developing field of metal additive manufacturing, providing insights into this advanced manufacturing technology. The articles span recent adva…
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Res2Net: A New Multi-Scale Backbone Architecture Open
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to con…
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The metallurgy and processing science of metal additive manufacturing Open
Here, additive Manufacturing (AM), widely known as 3D printing, is a method of manufacturing that forms parts from powder, wire, or sheets in a process that proceeds layer-by-layer.Many techniques (using many different names) have been dev…
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Purely Organic Thermally Activated Delayed Fluorescence Materials for Organic Light‐Emitting Diodes Open
The design of thermally activated delayed fluorescence (TADF) materials both as emitters and as hosts is an exploding area of research. The replacement of phosphorescent metal complexes with inexpensive organic compounds in electroluminesc…
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Wide Residual Networks Open
Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance. However, each fraction of a percent of improved accuracy costs nearly doubling the number of layers, and so training very…
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Densely Connected Convolutional Networks Open
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we emb…
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Efficient luminescent solar cells based on tailored mixed-cation perovskites Open
Researchers developed a perovskite solar cell with high power-conversion efficiency (>20%) and intense electroluminescence yield (0.5%).
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Reversible epitaxial electrodeposition of metals in battery anodes Open
Controlling electrode growth Batteries with metal anodes can grow dendrites during cycling, which can cause short circuits in a battery or subsequently reduce the charge capacity. Zheng et al. developed a process to electrodeposit zinc on …
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Polydopamine Surface Chemistry: A Decade of Discovery Open
Polydopamine is one of the simplest and most versatile approaches to functionalizing material surfaces, having been inspired by the adhesive nature of catechols and amines in mussel adhesive proteins. Since its first report in 2007, a deca…
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Improved Training of Wasserstein GANs Open
Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability. The recently proposed Wasserstein GAN (WGAN) makes progress toward stable training of GANs, but sometimes can still generate only …
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Covalent surface modifications and superconductivity of two-dimensional metal carbide MXenes Open
Modifying MXene surfaces Unlike graphene and transition-metal dichalcogenides, two-dimensional transition-metal carbides (MXenes) have many surface sites that can be chemically modified. Etching of the aluminum layer of a parent MAX phase …
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Perovskite solar cells with CuSCN hole extraction layers yield stabilized efficiencies greater than 20% Open
Transporter layers improve stability Although perovskite solar cells can have power conversion efficiencies exceeding 20%, they can have limited thermal and ultraviolet irradiation stability. This is in part because of the materials used t…
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Perovskite-perovskite tandem photovoltaics with optimized band gaps Open
Tandem perovskite cells The ready processability of organic-inorganic perovskite materials for solar cells should enable the fabrication of tandem solar cells, in which the top layer is tuned to absorb shorter wavelengths and the lower lay…
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Perovskite Materials for Light‐Emitting Diodes and Lasers Open
Organic–inorganic hybrid perovskites have cemented their position as an exceptional class of optoelectronic materials thanks to record photovoltaic efficiencies of 22.1%, as well as promising demonstrations of light‐emitting diodes, lasers…
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FiLM: Visual Reasoning with a General Conditioning Layer Open
We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning inf…
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Back stress strengthening and strain hardening in gradient structure Open
We report significant back stress strengthening and strain hardening in gradient structured (GS) interstitial-free (IF) steel. Back stress is long-range stress caused by the pileup of geometrically necessary dislocations (GNDs). A simple e…
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Journal of Geophysical Research: Solid Earth Open
A series of deformation tests was performed on samples from natural xenoliths and dunites with well-defined textures and microstructures. The rock samples were deformed perpendicular to the foliation, 45° to the foliation, and parallel to …
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Perspective on hetero-deformation induced (HDI) hardening and back stress Open
Heterostructured materials have been reported as a new class of materials with superior mechanical properties, which was attributed to the development of back stress. There are numerous reports on back stress theories and measurements with…
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Heterogeneous materials: a new class of materials with unprecedented mechanical properties Open
Here we present a perspective on heterogeneous materials, a new class of materials possessing superior combinations of strength and ductility that are not accessible to their homogeneous counterparts. Heterogeneous materials consist of dom…
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Electronic and Optical Properties of 2D Transition Metal Carbides and Nitrides (MXenes) Open
2D transition metal carbides, carbonitrides, and nitrides, known as MXenes, are a rapidly growing family of 2D materials with close to 30 members experimentally synthesized, and dozens more studied theoretically. They exhibit outstanding e…
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A Brief History of OLEDs—Emitter Development and Industry Milestones Open
Organic light‐emitting diodes (OLEDs) have come a long way ever since their first introduction in 1987 at Eastman Kodak. Today, OLEDs are especially valued in the display and lighting industry for their promising features. As one of the re…
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The 2018 GaN power electronics roadmap Open
Gallium nitride (GaN) is a compound semiconductor that has tremendous potential to facilitate economic growth in a semiconductor industry that is silicon-based and currently faced with diminishing returns of performance versus cost of inve…
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Thermodynamically stabilized β-CsPbI <sub>3</sub> –based perovskite solar cells with efficiencies >18% Open
Tetragonal phases for perovskite solar cells The power conversion efficiencies (PCEs) of all-inorganic perovskites are lower than those of materials with organic cations. This is in part because these materials have larger bandgaps. The cu…
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Not All That Glitters Is Gold: Metal-Migration-Induced Degradation in Perovskite Solar Cells Open
Perovskite solar cells (PSCs) have now achieved efficiencies in excess of 22%, but very little is known about their long-term stability under thermal stress. So far, stability reports have hinted at the importance of substituting the organ…
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ACTIVATION FUNCTIONS IN NEURAL NETWORKS Open
Artificial Neural Networks are inspired from the human brain and the network of neurons present in the brain.The information is processed and passed on from one neuron to another through neuro synaptic junctions.Similarly, in artificial ne…
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Flexible Electronics toward Wearable Sensing Open
Wearable sensors play a crucial role in realizing personalized medicine, as they can continuously collect data from the human body to capture meaningful health status changes in time for preventive intervention. However, motion artifacts a…
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Ten Years of Progress in the Synthesis and Development of MXenes Open
Since their discovery in 2011, the number of 2D transition metal carbides and nitrides (MXenes) has steadily increased. Currently more than 40 MXene compositions exist. The ultimate number is far greater and in time they may develop into t…
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Atomic Defects in Monolayer Titanium Carbide (Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>) MXene Open
The 2D transition metal carbides or nitrides, or MXenes, are emerging as a group of materials showing great promise in lithium ion batteries and supercapacitors. Until now, characterization and properties of single-layer MXenes have been s…
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Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections Open
In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution. The network is composed of multiple layers of convolution and de-convolution operators, lea…