Bio-inspired polydopamine-assisted graphene oxide coating on tetra-pod zinc oxide whisker for dielectric composites
Sign Up to like & getrecommendations! Published in 2018 at "Chemical Engineering Journal"
DOI: 10.1016/j.cej.2018.03.188
Abstract: Abstract Polymeric dielectric composites have wide applications in many fields ranging from wearable devices, sensors to energy storage. In this work, a novel kind of hybrid particles with ‘core-shell’-like structure were fabricated via the polydopamine-assisted… read more here.
Keywords: tetra pod; pod zinc; zinc oxide; polydopamine ... See more keywords
Poly(arylene ether nitrile) ternary dielectric composites modulated via polydopamine-assisted BaTiO3 decorating MoS2 sheets
Sign Up to like & getrecommendations! Published in 2020 at "Ceramics International"
DOI: 10.1016/j.ceramint.2020.04.253
Abstract: Abstract Flexible, high-k and thermostability polymer-based dielectric composites are the core components in electrostatic capacitors and embedded devices. Herein, the dielectric polymer matrix composites are developed by embedding polydopamine (PDA)-encapsulated hydroxylated barium titanate (BTH) and… read more here.
Keywords: ether nitrile; poly arylene; pda; polydopamine ... See more keywords
Carbon nanofibers supported by FeCo nanocrystals as difunctional magnetic/dielectric composites with broadband microwave absorption performance
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Alloys and Compounds"
DOI: 10.1016/j.jallcom.2020.153980
Abstract: Abstract Lightweight, strong and broadband microwave absorbents are urgently demanded for practical applications. Exploring magnetic/dielectric composites by anchoring magnetic nanostructures on lightweight dielectric carbon is an effective way, due to their possible good impedance matching… read more here.
Keywords: absorption; feco; dielectric composites; magnetic dielectric ... See more keywords
Interactive human–machine learning framework for modelling of ferroelectric–dielectric composites
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Materials Chemistry C"
DOI: 10.1039/c9tc06073a
Abstract: Data driven materials discovery and optimization require databases that are error free and experimentally verified. Performing material measurements is time-consuming and often restricted by the fact that material sample preparations are non-trivial, labour-intensive and expensive.… read more here.
Keywords: ferroelectric dielectric; model; human machine; learning framework ... See more keywords