Multifunctional properties optimization and stimuli‐responsivity of shape memory polymeric nanoarchitectures and applications

Abstract

As a result of nanotechnological advancement, parameters inducing flaws in shape memory polymers (SMP), such as weak mechanical properties, low electrical, and thermal conductivities, and so on, were mitigated through the inclusion of a versatile range of nanomaterials such as montmorillonites, carbon nanotubes, graphene and derivatives, cellulose nanocrystals, carbon nanofibers, and so on, thereby forming shape memory polymeric nanoarchitectures (SMPNs). Hence, this work elucidates most recently emerging advancements on multifunctional SMPNs filled by differing nanoparticulates. Varying multifunctional SMPNs exhibit responsivity to varying forms of stimulation strategies, including thermal responsivity, electroactivated, alternating magnetic field responsivity, light sensitivity, and water induced SMPs. Therefore, this article presents very recently emerging advancements in the construction, characterization, properties, and multifunctional applications of stimuliresponsive SMPNs, with special emphasis on functional and stimuli-responsive SMPNs. Furthermore, important functions of SMPNs such as stimuli-memory effect and self-mending abilities, as well as prospective strategies for future progress of these materials are highlighted.

Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations

“…A possible evolution in the fabrication of advanced nanocomposite materials is in the AI control of the physical states of hybrid circuits (solid/liquid) for intelligent adaptive micro-robot implementations. Other important properties of intelligent materials are self-healing [67][68][69][70][71][72][73][74][75][76][77][78][79][80][81] (as in polymer composites based on graphene and carbon nanotubes (CNT) and PDMS) and the shape memory effect [82][83][84][85][86][87][88] (as in ferroic nanocomposites and nanocomposite hydrogels). AI data processing could be adopted to regenerate micro-and nano-electronic circuits and to enable shape auto-adaptive actions controlling external stimuli.…”

A simple phenomenological model for recovery behaviors of amorphous thermoset‐based shape memory polymers via a time‐varying viscosity

“…Shape memory materials (SMMs) are a typical class of smart materials that exhibit unique abilities for spontaneous deformation in response to environmental stimuli such as heat, 1 light, 2 electricity, 3 and magnetism 4 . Within the domain of SMMs, shape memory polymers (SMPs) 5–8 offer notable advantages in terms of light‐weight and cost‐efficient, enabling a wide range of prospective applications in functional textiles, 9 aerospace, 10,11 and biomedical medicine 12 . In particular, SMPs exhibit extraordinary potential for the advancement of space deployable structures 13,14 and bone tissue scaffolds 15,16 …”

Photoresponsive block copolymer nanostructures through implementation of arylazopyrazoles

“…12 Response to external stimuli is essential for implementing morphological transitions into polymeric systems. 13,14 Among others, reduction and oxidation, 15,16 pH 17,18 , and temperature 19,20 have been implemented as external triggers for responsive BCPs. Light is a very attractive stimulus, owing to its high temporal and spatial resolution, as well as the possibility to apply it externally.…”