Shape transformation and self-alignment of Fe-based nanoparticles

Abstract

New types of functional material structures will emerge if shape and properties are controlled in three-dimensional nanodevices using inkjet printing technology.

Machine Learning-Powered Ultrahigh Controllable and Wearable Magnetoelectric Piezotronic Touching Device

“…Our optimized deposition process ensures core−shell NP alignment via demagnetization fields thus avoiding any agglomeration issues. 40 To confirm device physical characteristics upon deformation under varying conditions, computational simulations were conducted alongside experimental demonstrations showing favorable piezoelectric performance coupled with superhydrophobicity/body motion-sensing capabilities. 40 The resulting machine learning-powered sensing and actuating system is demonstrated using the patch for metaverse applications.…”

“…To address this challenge, we present an effective approach utilizing flexible MENP-deposited patches, which enable us to create an ultrasensitive/highly controllable wearable magnetoelectric-piezoelectric (ME-PZT) switch. Our optimized deposition process ensures core–shell NP alignment via demagnetization fields thus avoiding any agglomeration issues . To confirm device physical characteristics upon deformation under varying conditions, computational simulations were conducted alongside experimental demonstrations showing favorable piezoelectric performance coupled with superhydrophobicity/body motion-sensing capabilities .…”