| About this Abstract |
| Meeting |
MS&T23: Materials Science & Technology
|
| Symposium
|
Advances in Dielectric Materials and Electronic Devices
|
| Presentation Title |
Interfacial-type Memristive Devices for Neuromorphic Computing |
| Author(s) |
Sundar Kunwar, Samip Karki, Nicholas Cuccineillo, Pinku Roy, Di Zhang, Alessandro Mazza, Reid Markland, Aiping Chen |
| On-Site Speaker (Planned) |
Aiping Chen |
| Abstract Scope |
Current digital computing based on Von Neumann architecture suffers from several key bottleneck. Developing new computing models based on emergent devices provide solutions towards Beyond Moore’s computing. Interfacial-type memristive devices with excellent scalability have the potential to revolutionize not only the field of information storage but also neuromorphic computing. In this talk, I will discuss switching behavior in a simple interface type memristive device based on Au/Nb:SrTiO3 Schottky interface. I will then discuss the usage of emergent devices for neuromorphic computing. |