Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …

Neuromorphic computing and artificial intelligence hardware generally aims to emulate
features found in biological neural circuit components and to enable the development of …

Constructing crossmodal in-sensor processing system based on high-performance flexible
devices is of great significance for the development of wearable human-machine interfaces …

While the complementary metal‐oxide semiconductor (CMOS) technology is the mainstream
for the hardware implementation of neural networks, an alternative route is explored based …

Vanadium dioxide (VO2) is one of the strongly correlated materials exhibiting a reversible
insulator–metal phase transition accompanied by a structural transition from a low …

Integrating and implementing spiking neurons and synapse into neuromorphic hardware
aligned with spiking neural networks (SNNs) offer significant promise for energy‐efficient …

Vanadium dioxide (VO2) exhibits the most abrupt metal-to-insulator transition (MIT) property
near room temperature among the representative 3d-orbital correlated oxides, and its …

Hydrogen donor do** of correlated electron systems such as vanadium dioxide (VO2)
profoundly modifies the ground state properties. The electrical behavior of H x VO2 is …

The stochastic nature of electronic phase transitions can serve as a random number
generating source. This work reports probabilistic bits (-bits) based on hydrogen-doped …

Design of hardware based on biological principles of neuronal computation and plasticity in
the brain is a leading approach to realizing energy-and sample-efficient AI and learning …