Results 21 to 30 of about 7,287 (192)

Circular‐Polarization‐Sensitive Organic Photodetectors with a Chiral Nanopatterned Electrode Inverse‐Designed by Genetic Algorithm

Advanced Functional Materials, EarlyView.
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park, Jewoong Lee, In‐Suk Choi, Changsoon Kim   +3 more
wiley   +1 more source

Impossibility Results for Byzantine-Tolerant State Observation, Synchronization, and Graph Computation Problems

Algorithms
This paper considers the solvability of several fundamental problems in asynchronous message-passing distributed systems in the presence of Byzantine processes using distributed algorithms.
Ajay D. Kshemkalyani, Anshuman Misra
doaj   +1 more source

From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts

Advanced Functional Materials, EarlyView.
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado, Enqi Bu, Yaning Han, Carlos López‐Cartes, Mónica Calatayud, Huiyan Pan, Xiaowei Chen   +6 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing

Advanced Functional Materials, EarlyView.
Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu, Ming Lei, Yuanzhe Liang, Biao Qi, Ziyi Dai, Yong Zhao, Bingpu Zhou   +6 more
wiley   +1 more source

Prenucleation Species Dictate Foreign Ion Incorporation in the Biomineral Precursor Amorphous Calcium Carbonate

Advanced Functional Materials, EarlyView.
ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao, Patrick Duchstein, Benedikt Demmert, Thi Q. Nhi Dao, Krishnaveni Anjala, Evelyn Gruber, Franziska Gröhn, Dirk Zahn, Dorrit E. Jacob, Stephan E. Wolf   +9 more
wiley   +1 more source

A systematic review of machine learning models for groundwater level prediction

Applied Computing and Geosciences
This study presents a comprehensive synthesis of machine learning (ML) techniques applied to groundwater level (GWL) prediction, focusing on model architectures, feature selection methods, hyperparameter tuning, optimization algorithms, and clustering ...
Gilbert Jesse, Cyril D. Boateng, Jeffrey N.A. Aryee, Marian A. Osei, David D. Wemegah, Solomon S.R. Gidigasu, Akyana Britwum, Samuel K. Afful, Haoulata Touré, Vera Mensah, Prinsca Owusu-Afriyie   +10 more
doaj   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

Advanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing

Advanced Functional Materials, EarlyView.
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov, Liyan Ming, Stanislav Sinogeikin, Erving Ximendes, Daniel Jaque, Riccardo Marin   +5 more
wiley   +1 more source

Optimal nodes selection in wireless sensor and actor networks based on prioritized mutual exclusion approach

Kuwait Journal of Science, 2016
In this research paper we study the problem of mutual exclusionin the context ofwireless sensor and actor network (WSAN) and propose two novel approaches tosolve it.
VIRENDER RANGA, Mayank Dave, Anil K. Verma   +2 more
doaj