Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques-Reference-Cited by-同舟云学术

Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques

Author:

Wang Zeheng¹^ORCID,Li Liang²,Leon Ross C. C.³,Yang Jinlin⁴,Shi Junjie⁵,van der Laan Timothy⁶,Usman Muhammad¹

Affiliation:

1. Data61, CSIRO, Clayton, VIC, Australia

2. Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

3. Quantum Motion, London, U.K.

4. Department of Chemistry, National University of Singapore, Queenstown, Singapore

5. School of Materials Science and Engineering, University of New South Wales, Sydney, NSW, Australia

6. CSIRO Manufacturing, Lindfield, NSW, Australia

Funder

CSIRO’s Impossible Without You Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

Reference30 articles.

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