Dynamic covalent polymer networks (DCPN) have historically attracted attention for their
unique roles in chemical recycling and self-healing, which are both relevant for sustainable …

Shape memory polymers (SMPs), as a class of programmable stimuli-responsive shape
changing polymers, are attracting increasing attention from the standpoint of both fundamental …

Metal halide perovskite semiconductors possess outstanding characteristics for
optoelectronic applications including but not limited to photovoltaics. Low-dimensional and …

Increasing attention on metamaterials has been paid due to their exciting physical behaviors
and potential applications. While most of such artificial material structures developed so far …

Dynamic covalent polymer networks have long been recognized. With the initial focus on
the unintended impact of dynamic covalent linkages on the viscoelasticity of commercial …

Deep learning (DL) methods have achieved state-of-the-art performance in the task of single
image rain removal. Most of current DL architectures, however, are still lack of sufficient …

As a promising way for analyzing data, sparse modeling has achieved great success
throughout science and engineering. It is well known that the sparsity/low-rank of a vector/matrix …

Background: Human infections with zoonotic coronaviruses (CoVs), including severe acute
respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV, have …

Multispectral and hyperspectral image fusion (MS/HS fusion) aims to fuse a high-resolution
multispectral (HrMS) and a low-resolution hyperspectral (LrHS) images to generate a high-…

Lithium–sulfur (Li–S) batteries with a theoretical energy density of 2567 Wh kg −1 are very
promising next‐generation energy storage systems, but suffer from the insulativity of sulfur …