Hybrid 2D/CMOS microchips for memristive applications - Computer software and raw data

Published February 6, 2023 | Version v1

Software Open

1. Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
2. Institute of Microelectronics, Tsinghua University, 100084, Beijing, China
3. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza L. da Vinci 14, 20133 Milano, Italy
4. Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands
5. Institute of Functional Nano & Soft Materials, Collaborative Innovation Center of Suzhou Nanoscience and Technology, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China
6. Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
7. Departamento de Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Avenida Fuentenueva s/n, 18071 Granada, Spain
8. Department of Electrical Engineering and Media Technology, Deggendorf Institute of Technology, Dieter‐Görlitz‐Platz 1, 94469 Deggendorf, Germany
9. Institute for Microelectronics, TU Wien, Gusshausstrasse 27-29, 1040 Vienna, Austria

Source data for the paper "Hybrid 2D/CMOS microchips for memristive applications"

Files

Name	Size	Download all
Nature_data.zip md5:2adadc9d11a1ada476cbe33c8ad0a7d0	70.9 MB	Preview Download