Results 121 to 130 of about 849,090 (345)
Advanced Materials, EarlyView.The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu +14 more
wiley +1 more source
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Advanced Materials, EarlyView.This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho +5 more
wiley +1 more source
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks [PDF]
arXiv, 2019 In many robotics and VR/AR applications, 3D-videos are readily-available sources of input (a continuous sequence of depth images, or LIDAR scans). However, those 3D-videos are processed frame-by-frame either through 2D convnets or 3D perception algorithms.
arxiv
Temporally Folded Convolutional Neural Networks for Sequence Forecasting [PDF]
arXiv, 2020 In this work we propose a novel approach to utilize convolutional neural networks for time series forecasting. The time direction of the sequential data with spatial dimensions $D=1,2$ is considered democratically as the input of a spatiotemporal $(D+1)$-dimensional convolutional neural network.
arxiv
Next‐Generation Image Sensors Based on Low‐Dimensional Semiconductor Materials
Advanced Materials, EarlyView.Low‐dimensional semiconductor materials are promising candidates for photosensitive components in next‐generation image sensors. This review offers a thorough and timely examination of novel image sensors, covering their working principles, intriguing materials categorized into four main groups, and advanced imaging applications.
Yunxia Hu +3 more
wiley +1 more source
Optical frontend for a convolutional neural network
Applied Optics, 2019 The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and ...
Shane Colburn +3 more
openaire +3 more sources
Advanced Materials, EarlyView.Solid‐state batteries promise high energy density and safety for electric vehicles. This study examines the densification of slurry‐casted Li₆PS₅Cl separator tapes, highlighting the role of particle size distribution and uni‐axial pressure. Wet milling refines particles while preserving conductivity, and a critical compaction threshold leads to ...
Quoc‐Anh Tran +14 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.Atomic transition rates for manipulating single silicon atoms in graphene with an electron beam in the scanning transmission electron microscope are experimentally extracted. Automated experiments and deep learning methods provide a means to probe and collect vast amounts of data to determine transition probabilities as a function of beam coordinate. A
Max Schwarzer +10 more
wiley +1 more source
Application of deep learning for division of petroleum reservoirs
MATEC Web of Conferences, 2018 Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj +1 more source
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks [PDF]
, 2006 Alexander Gepperth
openalex +1 more source