Results 21 to 30 of about 126 (98)

Iterative Mold Adaptation for Pre‐Compensation of Warpage in Aluminum Casting

PAMM, Volume 26, Issue 1, March 2026.
ABSTRACT As a result of uneven cooling and internal stresses, warpage is a significant challenge in metal casting, particularly when using metal dies. Previous research has sought to reduce warpage by adjusting process parameters, such as the extraction temperature.
Steffen Tillmann, Shrujal Gor, Stefanie Elgeti, Andreas Bührig‐Polaczek, Björn Pustal   +4 more
wiley   +1 more source

Inverse Design in Nanophotonics via Representation Learning

Advanced Optical Materials, Volume 14, Issue 1, 9 January 2026.
This review frames machine learning (ML) in nanophotonics through a classification based on where ML is applied. We categorize methods as either output‐side, which create differentiable surrogates for solving Maxwell's partial differential equations (PDEs), or input‐side, which learn compact representations of device geometry.
Reza Marzban, Ali Adibi, Raphaël Pestourie   +2 more
wiley   +1 more source

Toward Advanced Degradable Soft Robotics Incorporating Transient Soft Electronics: Materials, Fabrication, and Applications

Advanced Electronic Materials, Volume 12, Issue 1, 7 January 2026.
Degradable soft robots are gaining attention for applications in various fields such as exploration, healthcare, and security. The integration of transient electronics is essential to enhance their intelligent task‐performing capabilities. This review offers insights into the advancement of soft electronic–robotic systems by providing an overview of ...
Kyung‐Sub Kim, Yong‐Joong Shin, Woo‐Jin Lee, Seung‐Kyun Kang   +3 more
wiley   +1 more source

Automated Partition‐Based Liberty Modelling for Asynchronous Circuits

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This work introduces a partition‐based strategy for liberty characterization of asynchronous cells, breaking feedback and multi‐output structures into loop‐free sub‐blocks. Exhaustive four‐phase testbenches and automated merging ensure sign‐off accuracy, with functional error below 0.1%, timing deviation within 8.5%, and power error within 13–19%.
Shahzad Haider, Ruochen Ding, Naheel Raza Rizvi, Song Chen   +3 more
wiley   +1 more source

The Making of the Vindolanda Wooden Writing Tablets: A Noninvasive Multianalytical Protocol for the Characterisation of Black Roman Inks

Journal of Analytical Methods in Chemistry, Volume 2026, Issue 1, 2026.
Within the ‘Making History’ project, the British Museum investigated the materiality of the Vindolanda ink writing tablets for the first time, with a particular focus on the possible differentiation of the ink sources employed. Thanks to the application of complementary scientific techniques, it was possible to develop an analytical protocol for the ...
Giovanna Vasco, Joanne Dyer, Richard Hobbs, Caroline R. Cartwright, Alessandro Buccolieri   +4 more
wiley   +1 more source

Infrared‐Driven Polymer Intelligence

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
Infrared spectroscopy is combined with machine learning to accurately predict the glass transition temperature of polymers and enable real‐time process control. The approach outperforms traditional molecular fingerprints by capturing subtle spectral variations due to impurities and additives.
Gorkem Anil Al, Mehryar Jafari, Uriel Martinez‐Hernandez, Hannah S. Leese, Bernardo Castro‐Dominguez   +4 more
wiley   +1 more source

Artificial intelligence fully automated analysis of handheld echocardiography in real‐world patients with suspected heart failure

European Journal of Heart Failure, Volume 27, Issue 12, Page 3401-3410, December 2025.
Artificial intelligence (AI) reporting of handheld echocardiography in a real‐life cohort of patients with suspected heart failure (HF). COPD, chronic obstructive pulmonary disease; LVEF, left ventricular ejection fraction; NTproBNP, N‐terminal pro‐B‐type natriuretic peptide.
Ross T. Campbell, Mark C. Petrie, Kieran F. Docherty, Katriona J.M. Brooksbank, Gemma McKinley, Caroline Haig, Alex McConnachie, Carolyn S.P. Lam, Carly Adamson, Elaine Butler, James P. Curtain, Nick Hartshorne‐Evans, Fraser J. Graham, Helen Hainey, John Jarvie, Matthew M.Y. Lee, Leeanne Macklin, Kenneth Mangion, Aimee McCoubrey, Kirsty McDowell, Aileen McIntyre, Sabrina Nordin, Joanna Osmanska, Pierpaolo Pellicori, Joanne Simpson, Piotr Sonecki, Karen Taylor, Daniel Taylor‐Sweet, Pamela Turnbull, Paul Welsh, John J.V. McMurray, Clare L. Murphy, David J. Lowe   +32 more
wiley   +1 more source

High pump depletion second‐harmonic generation using domain engineered thin‐film lithium niobate waveguides

Nanophotonics, Volume 14, Issue 26, Page 4805-4812, December 2025.
Abstract Thin‐film lithium niobate (TFLN) has emerged as a powerful platform for integrated nonlinear optics owing to its large χ(2) nonlinearity, tight confinement and flexible tunability. To fully excavate such superior nonlinear optical properties, domain engineering is commonly adopted to fulfill the phase matching condition of χ(2) processes ...
Chenyu Wang, Mengwen Chen, Xiao‐Hui Tian, Zishuo Gu, Jie Tang, Yong Zhang, Zikang Wang, Kunpeng Jia, Chenyang Shi, Xiaowen Gu, Guang Qian, Zhenlin Wang, Shi‐Ning Zhu, Zhenda Xie   +13 more
wiley   +1 more source

Why Context Matters in Industrial Energy Efficiency: A Framework for Electric Motor Systems

Business Strategy and the Environment, Volume 34, Issue 7, Page 9321-9349, November 2025.
ABSTRACT Energy efficiency is one of the most effective means for achieving sustainability goals, yet its adoption, particularly in electric motor systems, remains limited. Insights into the dynamics between contextual elements and efficiency measures can lead to more informed decision‐making.
Davide Accordini, Enrico Cagno, Andrea Trianni   +2 more
wiley   +1 more source

A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0. [PDF]

Materials (Basel), 2023
Ulewicz R, Czerwińska K, Pacana A.
europepmc   +1 more source