Chinese Academy of Sciences

Zuheng Wu

Ming Liu

Qi Liu

Hangbing Lv

Ling Li

Guozhong Xing

Huai Lin

Xumeng Zhang

Wei Wang

Di Wang

Tuo Shi

Changqing Xie

Long Liu

Cheng Lu

Jiebin Niu

Dashan Shang

Peiwen Zhang

Zhihong Yao

The present disclosure provides a memristor, including a transistor and a resistive random access memory, where a drain electrode of the transistor is connected to a bottom electrode of the resistive random access memory; and the resistive random access memory includes: the bottom electrode, a resistive random access material layer, a current compliance layer and a top electrode from bottom to top, where the current compliance layer is configured to stabilize a fluctuation of a low resistance by reducing a surge current and optimizing a heat distribution, so as to improve a calculation accuracy of a Hamming distance.

Memristor, method of calculating hamming distance, and in-memory computing integration application

Disclosed is an afferent neuron circuit, which includes: a resistance Rc and a volatile threshold switching device TS, wherein the volatile threshold switching device TS is provided with a parasitic capacitor Cparasitic; a first end of the resistance Rc serves as a signal input terminal, and a second end of the resistance Rc serves as a signal output terminal; and a first end of the volatile threshold switching device TS is connected to the signal output terminal, and a second end of the volatile threshold switching device TS is grounded. The afferent neuron circuit provided in the content of the present disclosure has a simple structure and good scalability and is suitable for large-scale integration.

Afferent neuron circuit and mechanoreceptive system

Disclosed are an artificial sensory nervous circuit and a manufacturing method thereof. The artificial sensory nervous circuit includes a sensor (S), a first memristor (RS), and a neuron circuit, where the first memristor (RS) has a unidirectional resistance characteristic. The sensor (S) is configured to sensing an external signal and generating an excitation signal according to the external signal. The first memristor (RS) is configured to generating a response signal according to the excitation signal. The neuron circuit is configured to perform charging and discharging according to the response signal so as to output a pulse signal. With the artificial sensory nervous circuit and the manufacturing method thereof, sensitivity and habituation characteristics of biological perception are realized by using a simple circuit.

Artificial sensory nervous circuit and manufacturing method thereof

The three-state spintronic device includes: a bottom electrode, a magnetic tunnel junction and a top electrode from bottom to top. The magnetic tunnel junction includes: a spin-orbit coupling layer, a ferromagnetic free layer, a barrier tunneling layer, a ferromagnetic reference layer, three local magnetic domain wall pinning centers and domain wall nucleation centers. An antisymmetric exchange interaction is modulated, and the magnetic domain wall pinning centers are embedded in an interface between a heavy metal and the ferromagnetic free layer. The magnetic domain wall nucleation centers are at two ends of the ferromagnetic free layer. A current pulse flows through the spin-orbit coupling layer to generate a spin current and the spin current is injected into the ferromagnetic free layer. Under a control of all-electrical controlled, an effective field of a spin-orbit torque drives domain wall to move and displace.

Three-state spintronic device, memory cell, memory array and read-write circuit

Growing community of inventors

BEIJING, China

Zuheng Wu