A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Two-dimensional (2D) transition metal dichalcogenide (TMD) heterostructures have
attracted a lot of attention due to their rich material diversity and stack geometry, precise …

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

The unique electronic and catalytic properties emerging from low symmetry anisotropic (1D
and 2D) metal chalcogenides (MCs) have generated tremendous interest for use in next …

Realizing multi-modal information recognition tasks which can process external information
efficiently and comprehensively is an urgent requirement in the field of artificial intelligence …

Neuromorphic systems can parallelize the perception and computation of information,
making it possible to break through the von Neumann bottleneck. Neuromorphic …

Biological neural networks do not only include long-term memory and weight multiplication
capabilities, as commonly assumed in artificial neural networks, but also more complex …

Deep learning has led to unprecedented successes in solving some very difficult problems
in domains such as computer vision, natural language processing, and general pattern …

Metal halide perovskite based materials have emerged over the past few decades as
remarkable solution‐processable optoelectronic materials with many intriguing properties …

During the past few years, the optics and photonics communities have renewed their
attention toward transparent conducting oxides (TCOs), which for over two decades have …