Výsledky vyhledávání - "van der Laan Timothy"

Akademický článek

THz graphene-integrated metasurface for electrically reconfigurable polarization conversion

Autor: Song Li-Zhao, Squires Andrew, van der Laan Timothy, Du Jia

Publikováno v: Nanophotonics, Vol 13, Iss 13, Pp 2349-2359 (2024)

Terahertz (THz) waves have been widely hailed as a key enabling technology for future sixth generation (6G) wireless networks. Dynamic modulation of their polarization states is of great attraction for high-capacity communications and anisotropic sen

Externí odkaz: https://doaj.org/article/c351661aea8b41c99402eb0b5362c755

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Quantum Machine Learning for Semiconductor Fabrication: Modeling GaN HEMT Contact Process

Autor: Wang, Zeheng, Wang, Fangzhou, Li, Liang, Wang, Zirui, van der Laan, Timothy, Leon, Ross C. C., Huang, Jing-Kai, Usman, Muhammad

This paper pioneers the use of quantum machine learning (QML) for modeling the Ohmic contact process in GaN high-electron-mobility transistors (HEMTs) for the first time. Utilizing data from 159 devices and variational auto-encoder-based augmentation

Externí odkaz: http://arxiv.org/abs/2409.10803

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Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays

Autor: Wang, Zeheng, van der Laan, Timothy, Usman, Muhammad

The rapid growth of Internet of Things (IoT) devices necessitates efficient data compression techniques to handle the vast amounts of data generated by these devices. In this context, chemiresistive sensor arrays (CSAs), a simple-to-fabricate but cru

Externí odkaz: http://arxiv.org/abs/2409.00115

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Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning

Autor: Wang, Zeheng, Cooper, James Scott, Usman, Muhammad, van der Laan, Timothy

The rapid advancement of Internet of Things (IoT) necessitates the development of optimized nanoparticle-based Chemiresistive Sensor (CRS) arrays that are energy-efficient, specific, and sensitive. This study introduces an optimization strategy that

Externí odkaz: http://arxiv.org/abs/2403.01642

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Strong Light-Matter Coupling Facilitated Charge Carrier Transport in Cavity Organic Solar Cells

Autor: Tang, Yahui, Stuart, Alexandra, van der Laan, Timothy, Lakhwani, Girish

Strong light-matter coupling has shown great potential for modifying the electro-optical properties of semiconducting materials in recent years. In the strong coupling regime, excitons and cavity photons form new states named exciton-polaritons, with

Externí odkaz: http://arxiv.org/abs/2311.13235

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

Autor: Wang, Zeheng, Li, Liang, Leon, Ross C. C., Yang, Jinlin, Shi, Junjie, van der Laan, Timothy, Usman, Muhammad

The semiconductors industry benefits greatly from the integration of Machine Learning (ML)-based techniques in Technology Computer-Aided Design (TCAD) methods. The performance of ML models however relies heavily on the quality and quantity of trainin

Externí odkaz: http://arxiv.org/abs/2105.11453

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