Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Rapid progress in the efficiency of hybrid lead halide perovskite photovoltaics surpassed the
semiconductor thin-film solar cells such as CdTe (cadmium telluride), CZTS (copper zinc tin …

Neuromorphic visual system with image perception, memory, and preprocessing functions is
expected to simulate basic features of the human retina. Organic optoelectronic synaptic …

Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …

The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …

The visual perception system is the most important system for human learning since it
receives over 80% of the learning information from the outside world. With the exponential …

Originally a part of the study of physics, quantum mechanics is fast becoming an
interdisciplinary field. Quantum computing offers the potential to reach the higher levels of …

The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Recently, in‐sensor computing with individual sensors or multiple connected sensors
directly processing information has been proposed to improve energy, area, and time …