Results 81 to 90 of about 2,435,702 (285)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Effective BP-ORBGRAND Scheme for Short LDPC Codes
Low-density parity-check (LDPC) codes have been widely used in practice due to their excellent error correction capabilities. However, the error correction performance of traditional decoding algorithms for LDPC codes is limited under short block lengths.
Qing Yuan +4 more
doaj +1 more source
Decoding algorithms for lattices
Algorithmes de décodage pour les réseaux de points Cette thèse aborde deux problèmes liés aux réseaux de points, un vieux problème et un nouveau.Tous deux sont des problèmes de décodage de réseaux de points : À savoir, étant donné un point dans l'espace, trouver le point du réseau le plus proche.Le premier problème est lié au codage de ...
openaire +2 more sources
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Semi-blind iterative joint channel estimation and K-best sphere decoding for MIMO
An efficient and high-performance semi-blind scheme is proposed for Multiple-Input Multiple-Output (MIMO) systems by iteratively combining channel estimation with K-Best Sphere Decoding (SD).
Messier, G.G. +3 more
core +2 more sources
Design and Implementation of Data Processing Center for CMA Big Data and Cloud Platform
Aiming at solving the problem of massive multi-source heterogeneous data access to CMA Big Data and Cloud Platform (Tianqing), Data Processing Center is designed and developed, combining front-end transmission and back-end storage methods.
Xiao Weiqing +9 more
doaj +1 more source
Iterative Selection of DNA Nanostructures for Cellular Uptake
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar +4 more
wiley +1 more source
Reduced-complexity syndrome-based TTCM decoding [PDF]
The iterative decoder of Turbo Trellis Coded Modulation (TTCM) exchanges extrinsic information between the constituent TCM decoders, which imposes a high computational complexity at the receiver. Therefore we conceive the syndrome-based block decoding of
Ng, Soon Xin +2 more
core +1 more source

