Results 111 to 120 of about 3,557 (229)

Lithiophilic Current Collector Without Interfacial Penalty in Zero-Excess Lithium Metal Batteries. [PDF]

Adv Sci (Weinh)
Seo J, Lee S, Jeon S, Lim M, Koo H, Hong ST, Jang W, Soon A, Lee H.   +8 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

The impact of risk information frameworks on cancer drug insurance (CDI) purchase decisions through time orientation and perceived risk: a survey-experiment study. [PDF]

Front Public Health
Sun Z, Kurnia MA, Zhang Z, Wang Y, Qian D.   +4 more
europepmc   +1 more source

Reconfigurable Logic‐in‐Memory Operations Enabled by Triple‐Gated Feedback Field‐Effect Transistors for Area‐Efficient Computing

Advanced Engineering Materials, EarlyView.
A reconfigurable logic‐in‐memory cell composed of triple‐gated feedback field‐effect transistors implements multiple combinational logic functions within a single configuration. By utilizing program gates as dynamic input terminals, the proposed cell performs full adder, full subtractor, 2‐to‐1 multiplexer, and 4‐to‐2 encoder operations without ...
Minhyeok Seol, Yunwoo Shin, Donghyung Lee, Dongki Kim, Kyoungah Cho, Sangsig Kim   +5 more
wiley   +1 more source

Electrodeposition of magnetic nanonetworks featuring triangular motifs and parallel ridges on a macroscopic scale. [PDF]

Nat Commun
Chen F, Shan J, Wang X, Li J, Jia F, Wang F, Yang Z, Liu K, Peng RW, Wang M.   +9 more
europepmc   +1 more source

Experimental and Numerical Modal Analysis of Composite Sandwich Structures Using Surfboards as Model Systems

Advanced Engineering Materials, EarlyView.
This article presents an experimental and numerical modal investigation of composite sandwich structures using surfboards as model systems. By comparing different core materials and reinforcement strategies, the study demonstrates how local stiffeners influence vibrational response and introduce characteristic modal features, highlighting modal ...
Brett Connellan, Luca Lomazzi, Mathis Mercier, Kara Stark, Marc in het Panhuis   +4 more
wiley   +1 more source

CAPPR-Wallet: a context-aware and recoverable wallet architecture with privacy-preserving rules for trustless blockchain ecosystems. [PDF]

Sci Rep
Liu M, Li H, Muqtadir A, Osama R, Shahzad MF.   +4 more
europepmc   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Safety assessment of the process EREMA VACUNITE (EREMA Vacurema Basic and Polymetrix SSP V-LeaN) used to recycle post-consumer PET into food contact materials. [PDF]

EFSA J
EFSA Panel on Food Contact Materials (FCM), Lambré C, Crebelli R, da Silva M, Grob K, Milana MR, Pronk M, Rivière G, Ščetar M, Theodoridis G, Van Hoeck E, Waegeneers N, Dudler V, Papaspyrides C, Tavares Poças MF, Sfika V, Tsochatzis E, Lampi E.   +17 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source