Results 91 to 100 of about 864,269 (299)

Emergence of a Hexagonal Fe2S2 Single Layer Without a Bulk Counterpart via Phase Transformation

Advanced Functional Materials, EarlyView.
Upon annealing, single‐layer Mackinawite iron sulfide transforms into a previously unknown hexagonal Fe2S2${\rm Fe}_2{\rm S}_2$ phase with β$\beta$‐CuI structure. STM, LEED, and first‐principles calculations identify the structure and show that electronic correlations and magnetic order are important for its stability.
Affan Safeer, Wejdan Beida, Felix Oberbauer, Nicolae Atodiresei, Gustav Bihlmayer, Max Wolfertz, Chiara Schlichte, Wouter Jolie, Stefan Blügel, Jeison Fischer, Thomas Michely   +10 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

Integrated Sparse Coding With Graph Learning for Robust Data Representation

IEEE Access, 2020
Sparse coding is a popular technique for achieving compact data representation and has been used in many applications. However, the instability issue often causes degeneration in practice and thus attracts a lot of studies.
Yupei Zhang, Shuhui Liu
doaj   +1 more source

An Antimicrobial, Cell‐Adhesive, and Growth Factor‐Producing Living Material Engineered From Bacillus subtilis Biofilms for Wound Healing

Advanced Healthcare Materials, EarlyView.
Bacillus subtilis is engineered to produce cell‐adhesive biofilms by functionalization of its biofilm scaffold protein TasA with a cell‐adhesion sequence. Living bacteria within the biofilm are also engineered to secrete growth factors and natively produce antimicrobial peptides (AMPs), resulting in a cell‐adhesive, antimicrobial, and growth factor ...
Mélanie Côté‐Cyr, Marie‐Jeanne Archambault, Caroline Dupuis, Steve Bourgault   +3 more
wiley   +1 more source

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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 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

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

The throughput analysis of different IR-HARQ schemes based on fountain codes [PDF]

, 2008
In this contribution, we construct two novel IR-HARQ (automatic repeat request) schemes based on fountain codes, which combine the punctured and rateless IR-HARQ schemes, in order to attain the advantageous properties of both: nearly optimal performance ...
Ponnampalam, V, Piechocki, RJ, Sejdinovic, D, Vishakan Ponnampalam, Dino Sejdinovic, Angela Doufexi, Doufexi, A, Robert J. Piechocki   +7 more
core   +1 more source