Results 161 to 170 of about 1,386,711 (395)

Soft and Stiff 3D Microstructures by Step‐Growth Photopolymerization Using a Single Photoresin and Multi‐Photon Laser Printing

open access: yesAdvanced Functional Materials, EarlyView.
An additive and initiator‐free photoresin based on a prepolymer decorated with photoreactive step‐growth units as crosslinkers allows for the fabrication of 3D microstructures with strongly disparate mechanical properties ranging from stiff to soft. Abstract Manufacturing three‐dimensional (3D) microstructures with multi‐material properties via two ...
Tugce Nur Eren   +7 more
wiley   +1 more source

A comprehensive study on predicting the elastic modulus and Poisson ratio of hardened cement pastes via micro-scale cement hydration simulations

open access: yesCase Studies in Construction Materials
A comprehensive study was conducted to predict the elastic modulus and Poisson ratio of hardened cement pastes (HCPs), including numerical work, comparison of two modelling approaches, and experimental validation.
Van Thong Nguyen   +3 more
doaj   +1 more source

Nanofillers Reinforcing Biopolymer Composites for Sustainable Food Packaging Applications: A State‐of‐the‐Art Review

open access: yesAdvanced Functional Materials, EarlyView.
Biopolymers are sustainable, biodegradable alternatives to petroleum‐based plastics for food packaging. Its adoption is often limited by poor mechanical strength, barrier properties, and improved thermal stability through the incorporation of nanofillers.
Himakshi Baishya   +2 more
wiley   +1 more source

Self‐Powered Real‐Time Temperature Sensing Based on Flexible Ionic Elastomer on Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a self‐powered real‐time ionic TENG temperature sensing system for flexible thermal management with high and real‐time temperature monitoring. Ionic liquids and elastomer chains are investigated under temperature via electrochemical and physical analysis, resulting in enhancing thermal sensitivity and output performance on TENG ...
Hee Jae Hwang   +9 more
wiley   +1 more source

Machine learning based prediction for bulk porosity and static elastic modulus of Yungang Grottoes sandstone

open access: yesHeritage Science
In this work, four mainstream machine learning (ML) techniques are used to evaluate the bulk porosity and static elastic modulus of weathered Yungang Grottoes sandstone.
Ruoyu Zhang   +3 more
doaj   +1 more source

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