Highlights
Various morphological structures in pressure sensors with the resulting advanced sensing
properties are reviewed comprehensively.
Relevant manufacturing techniques and intelligent applications of pressure sensors are
summarized in a complete and interesting way.
Future challenges and perspectives of flexible pressure sensors are critically discussed.
Dynamic vulcanization has been demonstrated
to be a versatile and
efficient way of improving impact toughness of PLA. However, the existing
vulcanization routes usually suffer from complicated presynthetic
procedures and use of nonrenewable modifiers as well as markedly enhanced
melt-viscosity. Herein, using both biomass-derived hydrogenated dimer
acid (HDA) and an excess molar amount of l-lysine ethyl ester
diisocyanate (LDI) as toughening monomers, we have developed a facile
yet highly effective diisocyanate method for the design of fully bio-based
PLA blends with excellent impact toughness and melt-flowability. The
in situ formation and self-cross-linking of flexible biopolyamide
(HDAPA) toughener, as well as its reactive compatibilization with
PLA, were accomplished in a single melt-blending step. When incorporating
the amount of HDAPA from 15 to 20 wt % or higher, the resulting blends
evolved from the network-like morphology to the bi-continuous one
with the cross-linked HDAPA network. At HDAPA content higher than
10 wt %, a sharp and persistent brittle–ductile transition
occurred with an equilibrium impact strength of over 1200 J/m, and
elongation-at-break was over 400%. Moreover, such a tremendous toughening
effect was accompanied by low melt-viscosity and enhanced PLA crystallization.
The matrix yielding triggered by internal cavitation of percolated
HDAPA domains, together with the pull-out of many in situ formed block
copolymers located at the interfaces, was found to be the major impact-toughening
mechanism. This work offers a novel and facile strategy for fabricating
high-performance and fully bio-based polymeric materials.
Artificial synaptic devices and systems have become the hotspot due to the parallel computing, high plasticity, integration of storage and processing to meet challenges of the traditional Von Neumann computers....
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