Neuromorphic devices may enable higher performance for traditional metrics (e.g., energy consumption per operation), or allow entirely new functionalities (e.g., neuroplasticity) by emulating the function of the brain. We focus on developing materials that exhibit resistance switching (either reversible, or non-volatile) to enable new computational architectures. We have:
- Developed reversible metal-insulator transitions that exhibit desired IV response.
- Discovered new time-dependent responses to make neuromorphic devices more tunable.
- Identified switching mechanisms and intrinsic sources of device variability.
Applications: Neuromorphic Computing, Reconfigurable Electronics, Memory