Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …

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

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

Graphene and two-dimensional materials (2DM) remain an active field of research in
science and engineering over 15 years after the first reports of 2DM. The vast amount of …

Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

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

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