Results 111 to 120 of about 3,228,583 (292)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Real Time Decoding of Color Symbol for Optical Positioning System

International Journal of Advanced Robotic Systems, 2015
This paper presents the design and real-time decoding of a color symbol that can be used as a reference marker for optical navigation. The designed symbol has a circular shape and is printed on paper using two distinct colors.
Abdul Waheed Malik, Benny Thörnberg, Qaisar Anwar, Tor Arne Johanson, Khurram Shahzad   +4 more
doaj   +1 more source

A Joint Symbol-Detection, Channel-Estimation and Decoding Scheme under Few-Bit ADCs in mmWave Communications. [PDF]

Sensors (Basel), 2020
Sun P, Liu F, Cui J, Wang W, Ye Y, Wang Z.   +5 more
europepmc   +1 more source

Successive DF relaying: MS-DIS aided interference suppression and three-stage concatenated architecture design

, 2012
Conventional single-relay aided two-phase cooperative networks employing coherent detection algorithms incur a significant 50% throughput loss. Furthermore, it is unrealistic to expect that in addition to the task of relaying, the relay-station would ...
Li, Li, Wang, Li, Li Wang, Hanzo, Lajos, Lajos Hanzo, Li Li   +5 more
core   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source

EXIT Chart Analysis of Expectation Propagation-Based Iterative Detection and Decoding

IEEE Open Journal of the Communications Society
This paper proposes a novel framework for extrinsic information transfer (EXIT) chart analysis to examine the convergence behavior of iterative detection and decoding (IDD) algorithms based on expectation propagation (EP), specifically addressing the ...
Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi, Hideki Ochiai   +3 more
doaj   +1 more source

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

Advanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen, Yufeng Zhai, Jungui Zhou, Lixing Li, Simon Schraad, Guangjiu Pan, Xuehe Jiang, Sarathlal Koyiloth Vayalil, Rolf A. T. M. van Benthem, Julien R. G. Navarro, Johan F. G. A. Jansen, Mats K. G. Johansson, Peter Müller‐Buschbaum, Stephan V. Roth   +13 more
wiley   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Defect‐Free Transfer Principles for Scalable, Thin Garnet‐Based Hybrid Solid Electrolytes in Solid‐State Batteries

Advanced Functional Materials, EarlyView.
Defect‐free transfer principles enable scalable fabrication of 15 µm‐thin garnet‐based hybrid solid electrolytes. Hansen solubility parameters correlate interfacial compatibility with coating, transfer, and impregnation behavior, guiding rational selection of slurry/substrate, binder/substrate, and binder/polymer electrolyte combinations.
Seul Gi Chu, Myeong Hwan Lee, Jungdon Suk, Seung‐Wan Song, Hye Min Ryu, Halim Kang, Jusung Han, Myung‐Soo Park, Yongku Kang   +8 more
wiley   +1 more source

Explainable Fraud Detection with Deep Symbolic Classification

There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection. Decisions made by fraud detection models need to be explainable in the event of a customer dispute. Additionally, the decision-making process in the model must be transparent to win the trust of regulators and business stakeholders.
Samantha Visbeek, Erman Acar, Floris den Hengst   +2 more
openaire   +5 more sources