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 …

Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

At present, machine learning systems use simplified neuron models that lack the rich
nonlinear phenomena observed in biological systems, which display spatio-temporal …

Continued progress in high-speed computing depends on breakthroughs in both materials
synthesis and device architectures,,,. The performance of logic and memory can be …

Abstract The Hodgkin–Huxley model for action potential generation in biological axons is
central for understanding the computational capability of the nervous system and emulating …

Orbital occupancy control in correlated oxides allows the realization of new electronic
phases and collective state switching under external stimuli. The resultant structural and …

The family of two-dimensional (2D) materials composed of atomically thin layers connected
via van der Waals interactions has attracted much curiosity due to a variety of intriguing …

We built and measured the dynamical current versus time behavior of nanoscale niobium
oxide crosspoint devices which exhibited threshold switching (current-controlled negative …

Interplay between ions and electrons endows memristor with promising applications from
the high density storages, memory logic gates to neuromorphic chips. The interplay-induced …