Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

Two-dimensional heterostructures (2D HSs) have emerged as a new class of materials
where dissimilar 2D materials are combined to synergise their advantages and alleviate …

The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Exploration of optoelectronic memristors with the capability to combine sensing and
processing functions is required to promote development of efficient neuromorphic vision. In …

Imprinting vision as memory is a core attribute of human cognitive learning. Fundamental to
artificial intelligence systems are bioinspired neuromorphic vision components for the visible …

The development of high-performance memory devices has played a key role in the
innovation of modern electronics. Non-volatile memory devices have manifested high …

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

Brain-inspired neuromorphic computing, featured by parallel computing, is considered as
one of the most energy-efficient and time-saving architectures for massive data computing …