Results 81 to 90 of about 214,409 (272)

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

Advanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl, Nicholas Clark, David G. Hopkinson, Matthew Hamer, Matthew Watson, Laxman Nagireddy, James E. Nunn, Alexei Barinov, Yichao Zou, William Thornley, Casey Cheung, Wendong Wang, Sam Sullivan‐Allsop, Xiao Li, Astrid Weston, Eli G. Castanon, Andrey V Kretinin, Cephise Cacho, Neil R. Wilson, Sarah J. Haigh, Roman Gorbachev   +20 more
wiley   +1 more source

Reconstruction of LDPC code sparse check matrix based on modified LBP decoding

Tongxin xuebao
In order to reconstruct the sparse check matrix of LDPC code, a sparse check matrix reconstruction algorithm for LDPC code at high BER was proposed based on modified LBP decoding.
ZHANG Tianqi, LI Chunyun, WU Xianyue, WU Yunge   +3 more
doaj   +2 more sources

Sparsey^TM: Spatiotemporal Event Recognition via Deep Hierarchical Sparse Distributed Codes

Frontiers in Computational Neuroscience, 2014
The visual cortex’s hierarchical, multi-level organization is captured in many biologically inspired computational vision models, the general idea being that progressively larger scale (spatially/temporally) and more complex visual features are ...
Gerard J Rinkus
doaj   +1 more source

Sensorimotor transformation via sparse coding [PDF]

Scientific Reports, 2015
AbstractSensorimotor transformation is indispensable to the accurate motion of the human body in daily life. For instance, when we grasp an object, the distance from our hands to an object needs to be calculated by integrating multisensory inputs and our motor system needs to appropriately activate the arm and hand muscles to minimize the distance. The
openaire   +2 more sources

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Low-density parity-check codes based on sparse binary sequences

Tongxin xuebao, 2005
A novel and simple construction of regular LDPC codes was proposed, which used sparse binary sequences, through studying construction methods of LDPC codes.
HE Shan-bao, ZHAO Chun-ming, SHI Zhi-hua, JIANG Ming   +3 more
doaj   +2 more sources

Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

Sensors, 2017
The multi-source cooperation integrating distributed low-density parity-check codes is investigated to jointly collect data from multiple sensor nodes to the mobile sink in the wireless sensor network.
Changcai Han, Jinsheng Yang
doaj   +1 more source

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

Advanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann, Vincent Glauser, Ullrich Steiner, Matthias Saba   +3 more
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source