Memristor-based artificial chips

B Sun, Y Chen, G Zhou, Z Cao, C Yang, J Du, X Chen… - ACS …, 2023 - ACS Publications
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

In-Depth Physical Mechanism Analysis and Wearable Applications of HfOx-Based Flexible Memristors

S Zhu, B Sun, G Zhou, T Guo, C Ke… - … Applied Materials & …, 2023 - ACS Publications
Since memristors as an emerging nonlinear electronic component have been considered
the most promising candidate for integrating nonvolatile memory and advanced computing …

Memristor‐Based Bionic Tactile Devices: Opening the Door for Next‐Generation Artificial Intelligence

C Yang, H Wang, Z Cao, X Chen, G Zhou, H Zhao… - Small, 2024 - Wiley Online Library
Bioinspired tactile devices can effectively mimic and reproduce the functions of the human
tactile system, presenting significant potential in the field of next‐generation wearable …

Promising materials and synthesis methods for resistive switching memory devices: a status review

GU Kamble, AP Patil, RK Kamat, JH Kim… - ACS Applied …, 2023 - ACS Publications
In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …

Controllable analog-to-digital bipolar resistive switching behavior and mechanism analysis in δ-MnO2-based memristor

Z Cao, B Sun, S Mao, G Zhou, X Duan, W Yan… - Materials Today …, 2023 - Elsevier
Memristor is one of the most emerging electronic components to realize synaptic functions in
the neuromorphic computing. Memristor with controllable analog-to-digital resistive …

Effect of heterojunction order between CaTiO3 and Mn doped SrTiO3 on memristive performance and its mechanism analysis

Y Yang, Z Cao, S Mao, J Qin, Z Rao, M Liu, C Ke… - Applied Materials …, 2023 - Elsevier
It is well-known that memristive devices can be applied to brain-like parallel computing, but
the interface effects have an indelible impact on memristive performance. In this work, two …

Improved resistive switching performance and in-depth mechanism analysis in Mn-doped SrTiO3-based RRAM

Y Yang, B Sun, G Zhou, C Ke, J Zhang, Y Zhou… - Materials Today …, 2023 - Elsevier
Since memristors have shown great application prospects in non-volatile memory, neural
synapse, brain-like chips, artificial intelligence (AI) and quantum computers, the research of …

Nonvolatile resistive switching memory behavior in WOx/BiFeOy heterojunction based memristor

J Wang, B Sun, G Zhou, S Zhu, C Yang, C Ke… - Journal of Alloys and …, 2023 - Elsevier
Memristors with a two-terminal structure are considered to be one of the most promising
electronic devices capable of overcoming the Von Neumann bottleneck, which is highly …

A magnetic field controlled memristor towards the design of an implantable detector

S Mao, B Sun, G Zhou, J Qin, Y Yang, Z Rao… - Journal of Colloid and …, 2023 - Elsevier
Memristors, which combine the behaviors of memory and resistive switching (RS), have a
wide application prospect in information processing and artificial neural networks. The RS …

The g-C3N4-TiO2 nanocomposite for non-volatile memory and artificial synaptic device applications

SL Patil, OY Pawar, HS Patil, SS Sutar… - Journal of Alloys and …, 2023 - Elsevier
Recently, 2D layered materials like graphitic carbon nitride (gC 3 N 4) are gaining significant
attention due to their excellent structural and electronic properties. Metal oxide and gC 3 N 4 …