Results 281 to 290 of about 2,169,888 (325)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian   +5 more
wiley   +1 more source

Influence of Temperature on Scratch and Wear Properties of Technical Thermoplastics: Implications for Material Selection

open access: yesAdvanced Engineering Materials, EarlyView.
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram   +2 more
wiley   +1 more source

Fabrication of a Stable, Low‐Cost, Patient‐Specific, Brain Phantom with Ventricles for Ultrasound Imaging

open access: yesAdvanced Engineering Materials, EarlyView.
Patient‐specific brain phantoms can replace animal trials, aid presurgical training, and enable in silico disease research on cerebrospinal fluid and ventricles. This study presents a method to create ventricular brain phantoms from three‐dimensional magnetic resonance images brain scans, resulting in durable, tunable, reproducible models that mimic ...
Kajal Chandraprakash Jain   +3 more
wiley   +1 more source

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