Multiscale Transport Modeling: From Process Plasmas to Resistive Switching Devices

Consistent models on different time and length scales are developed and implemented, which enable a continuous simulation from the processing of memristive devices to their electrical properties. The coupling of the different physical models is realized by a machine learning regression model. In addition to contributing to the fundamental understanding of physics on the different time and length scales, the project will provide suggestions for application-oriented processing and selection of memristive devices for neuromorphic circuits within the CRC.