DOI: https://doi.org/10.29363/nanoge.neumatdecas.2023.024
Publication date: 9th January 2023
Challenges to meet today’s computing needs include the slowing down of technology scaling and the exponential growth of data that need to be processed. A promising alternative approach consists in performing computing based on intrinsic device dynamics, such that each device functionally replaces expensive circuits, leading to adaptive ‘complex computing’. In this talk, I will present a few examples of how material properties can enable device dynamics, and how internal device dynamics can lead to interesting network dynamics and potential applications. These native dynamics at the device and material levels can enable new computing architectures, such as brain- inspired neuromorphic systems, which offer both high energy efficiency and high computing capacity.