Results 91 to 100 of about 1,957,229 (358)

Unraveling Mixed‐Defect Transformations and Passivation Dynamics in Silicon Heterojunction Solar Cells

Advanced Functional Materials, EarlyView.
Defects in materials coexist in multiple forms, undergo dynamic transformations, and influence the material properties. Here, the dynamic transformations of passivation‐related defects in silicon heterojunctions are revealed through the decomposition of dual‐phase capacitance transients.
Do Hoe Kim, Joon‐Ho Oh, Tae Kyung Lee, Yongrae Kim, Jeong‐Ho An, Seo Woo Sim, Yun‐Tak Han, Jin Young Lee, Munse Kim, Kyuhyeon Im, Yong‐Jin Kim, Unsoo Kim, Kyung Taek Jeong, Min Gu Kang, Sang Hee Lee, Yunae Cho, Hee‐Eun Song, Ka‐Hyun Kim   +17 more
wiley   +1 more source

An iterative method for reconstruction of temperature

Journal of Inverse and Ill-Posed Problems, 2006
An iterative method for the reconstruction of a stationary three-dimensional temperature field, from Cauchy data given on a part of the boundary, is presented. At each iteration step, a series of mixed well-posed boundary value problems are solved for the heat operator and its adjoint.
openaire   +2 more sources

Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization

IEEE Access, 2020
Multi-objective sparse reconstruction methods have shown strong potential in sparse reconstruction. However, most methods are computationally expensive due to the requirement of excessive functional evaluations.
Bai Yan, Qi Zhao, J. Andrew Zhang, Zhihai Wang   +3 more
doaj   +1 more source

Biosupercapacitors for Human‐Powered Electronics

Advanced Functional Materials, EarlyView.
Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim, Seungho Baek, Woojung Jung, Hayeon Bae, Junyoung Mun, Yong Ho Kim, Sunkook Kim, Jung Ho Kim   +7 more
wiley   +1 more source

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection

Scientific Reports, 2017
As x-ray and electron tomography is pushed further into the nanoscale, the limitations of rotation stages become more apparent, leading to challenges in the alignment of the acquired projection images.
D. Gürsoy, Y. Hong, K. He, Karl A. Hujsak, Seunghwan Yoo, Si Chen, Yue Li, M. Ge, L. Miller, Y. Chu, V. De Andrade, Kai He, O. Cossairt, A. Katsaggelos, C. Jacobsen   +14 more
semanticscholar   +1 more source

SSM-Net: Enhancing Compressed Sensing Image Reconstruction with Mamba Architecture and Fast Iterative Shrinking Threshold Algorithm Optimization

Sensors
Compressed sensing (CS) is a powerful technique that can reduce data size while maintaining high reconstruction quality, which makes it particularly valuable in high-dimensional image applications. However, many existing methods have difficulty balancing
Xianwei Gao, Bi Chen, Xiang Yao, Ye Yuan
doaj   +1 more source

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
Digital Twins of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively. Abstract Solid‐state lithium batteries (SSBs) have the potential to overcome conventional Li‐ion batteries in performance and safety.
Jonathan O'Neill, Tanner Hamann, Keith Duncan, Eric Wachsman   +3 more
wiley   +1 more source

Statistical iterative reconstruction using adaptive fractional order regularization.

Biomedical Optics Express, 2016
In order to reduce the radiation dose of the X-ray computed tomography (CT), low-dose CT has drawn much attention in both clinical and industrial fields.
Yi Zhang, Yan Wang, Wei-hua Zhang, Feng Lin, Yi-fei Pu, Jiliu Zhou   +5 more
semanticscholar   +1 more source

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems

, 2015
Classical iterative methods for tomographic reconstruction include the class of Algebraic Reconstruction Techniques (ART). Convergence of these stationary linear iterative methods is however notably slow.
Cools, Siegfried, Ghysels, Pieter, Sijbers, J., van Aarle, Wim, Vanroose, Wim   +4 more
core   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source