103 citations
- The University of MelbourneAU18 papers
- Commonwealth Scientific and Industrial Research OrganisationAU16 papers
- Data61AU15 papers
- RMIT UniversityAU13 papers
- Monash UniversityAU11 papers
- Swinburne University of TechnologyAU7 papers
- UNSW SydneyAU5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- The University of AdelaideAU3 papers
- University of ManchesterGB3 papers
- Australian Research CouncilAU2 papers
- Centre for Quantum Computation and Communication TechnologyAU2 papers
4 papers · 1 filter
Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
Zeheng Wang, Fangzhou Wang, Liang Li +5
Modeling complex semiconductor fabrication processes such as Ohmic contact formation remains challenging due to high-dimensional parameter spaces and limited experimental data. Whi…
An Item Response Theory-based R Module for Algorithm Portfolio Analysis
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu +1
Experimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to ful…
Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning
Zeheng Wang, James Scott Cooper, Muhammad Usman +1
The rapid advancement of Internet of Things (IoT) necessitates the development of optimized nanoparticle-based Chemiresistive Sensor (CRS) arrays that are energy-efficient, specifi…
Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques
Zeheng Wang, Liang Li, Ross C. C. Leon +4
The semiconductors industry benefits greatly from the integration of Machine Learning (ML)-based techniques in Technology Computer-Aided Design (TCAD) methods. The performance of M…