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Open AccessUsing U-Net convolutional neural network to model pixel-based electrostatic potential distributions in GaN power MIS-HEMTs
This study demonstrates a novel use of the U-Net convolutional neural network (CNN) for modeling pixel-based electrostatic potential distributions in GaN metal–insulator-semiconductor high-electron mobility tr...
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Open AccessDevice simulations with A U-Net model predicting physical quantities in two-dimensional landscapes
Although Technology Computer-Aided Design (TCAD) simulation has paved a successful and efficient way to significantly reduce the cost of experiments under the device design, it still encounters many challenges...
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Article
Open AccessArtificial intelligence deep learning for 3D IC reliability prediction
Three-dimensional integrated circuit (3D IC) technologies have been receiving much attention recently due to the near-ending of Moore’s law of minimization in 2D IC. However, the reliability of 3D IC, which is...
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Open AccessEngineer design process assisted by explainable deep learning network
Engineering simulation accelerates the development of reliable and repeatable design processes in various domains. However, the computing resource consumption is dramatically raised in the whole development pr...
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Article
Kaleido: Visualizing Big Brain Data with Automatic Color Assignment for Single-Neuron Images
Effective 3D visualization is essential for connectomics analysis, where the number of neural images easily reaches over tens of thousands. A formidable challenge is to simultaneously visualize a large number ...
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Open Access26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
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Open AccessDifferential synchrotron X-ray imaging markers based on the renal microvasculature for tubulointerstitial lesions and glomerulopathy
High resolution synchrotron microtomography capable of revealing microvessels in three dimensional (3D) establishes distinct imaging markers of mouse kidney disease strongly associated to renal tubulointerstit...
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Open AccessLarge-scale quantitative analysis of neurons via morphological structures by Fast Automatically Structural Tracing Algorithm (FAST)
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Open AccessLarge-scale segmentation and tracing for neurons in Drosophila brain by Fast Automatically Structural Tracing Algorithm (FASTA)