Advanced Engineering Materials, EarlyView.Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke +4 more
wiley +1 more source
Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
Advanced Engineering Materials, EarlyView.This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco +8 more
wiley +1 more source
Author Correction: Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering. [PDF]
Sci RepAhmed U +6 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Correction: Zafar et al. Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey. Life 2023, 13, 146. [PDF]
Life (Basel)Zafar M +5 more
europepmc +1 more source
Active Hydrogen for Electrochemical Ammonia Synthesis
Advanced Functional Materials, EarlyView.This review provides a comprehensive overview of the active hydrogen (H*) for electrochemical ammonia synthesis with particular attention given to the regulation of H* generation and consumption to suppress the competition of hydrogen evolution reaction and enhance the yield, selectivity, and Faradaic efficiency of ammonia.
Guoqiang Gan, Guo Hong, Wenjun Zhang
wiley +1 more source
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images. [PDF]
Sci RepNahiduzzaman M +9 more
europepmc +1 more source
Electrically Insulating Electromagnetic Interference Shielding Materials: A Perspective
Advanced Functional Materials, EarlyView.Developing electromagnetic interference (EMI) shielding materials with inherent electrical insulation and high EMI shielding effectiveness is challenging but important for electronic applications. This perspective summarizes the recent advancements in designing electrically insulating EMI shielding materials and discusses the underlying mechanisms of ...
Ji Liu, Valeria Nicolosi
wiley +1 more source
Knowledge concept recognition in the learning brain via fMRI classification. [PDF]
Front NeurosciZhang W +4 more
europepmc +1 more source
Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells
Advanced Functional Materials, EarlyView.This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage +5 more
wiley +1 more source