Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Tejender, Singh"'
Autor:
Ankita Sinha, Suphal Sen, Tejender Singh, Aniruddha Ghosh, Satyen Saha, Krishanu Bandyopadhyay, Arindam Dey, Suparna Banerjee, Jaydip Gangopadhyay
Publikováno v:
ACS Omega, Vol 9, Iss 45, Pp 45518-45536 (2024)
Externí odkaz:
https://doaj.org/article/e5409fce987d48ac9270071e2952fef9
Autor:
Tejender Singh Rawat, Chia-Lung Hung, Yi-Kai Hsiao, Wei-Chen Yu, Surya Elangovan, Wei-Ting Lin, Yi-Rong Lin, Kai-Lin Yang, Nien-Yi Jan, Yung-Hui Li, Hao-Chung Kuo
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 5, Pp 1853-1861 (2024)
For high-power silicon carbide (SiC) devices, breakdown voltage analysis is an important parameter, especially for guard ring design. This work explores the implementation of machine learning on SiC guard ring parameters such as ion implanted dose an
Externí odkaz:
https://doaj.org/article/c984072a957645a6ae41fee698ca4e6d
Autor:
Sparsh Pratik, Po-Ning Liu, Jun Ota, Yen-Liang Tu, Guan-Wen Lai, Ya-Wen Ho, Zheng-Kai Yang, Tejender Singh Rawat, Albert S. Lin
Publikováno v:
ACS Omega, Vol 7, Iss 1, Pp 933-946 (2022)
Externí odkaz:
https://doaj.org/article/2880619e8e684529ba4e1bee387b71a4
Akademický článek
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Autor:
Albert S. Lin, Sparsh Pratik, Jun Ota, Tejender Singh Rawat, Tzu-Hsiang Huang, Chun-Ling Hsu, Wei-Ming Su, Tseung-Yuen Tseng
Publikováno v:
IEEE Access, Vol 9, Pp 3126-3139 (2021)
With the immense increase in the processing data during the scaling down of semiconductor devices by Moore’s Law, it is in urgent need to use data analytics to meet the state of the art performance in both manufacturing and device compact modeling.
Externí odkaz:
https://doaj.org/article/e1529a89857f43f3ad53da5da0aca59b
Autor:
Ya-Wen Ho, Tejender Singh Rawat, Zheng-Kai Yang, Sparsh Pratik, Guan-Wen Lai, Yen-Liang Tu, Albert Lin
Publikováno v:
IEEE Access, Vol 9, Pp 159048-159058 (2021)
Artificial neural networks (ANN) and multilayer perceptrons (MLP) have proved to be efficient in terms of designing highly accurate semiconductor device compact models (CM). Their ability to update their weight and biases through the backpropagation
Externí odkaz:
https://doaj.org/article/f4a5705155804b48adff9566457d16b4
Autor:
Tejender Singh Rawat, Chung Yuan Chang, Yen-Wei Feng, ShihWei Chen, Chang-Hong Shen, Jia-Min Shieh, Albert Shihchun Lin
Publikováno v:
ACS Omega. 8:737-746
Publikováno v:
Chemistry – A European Journal.
Publikováno v:
Journal of Computational Chemistry. 44:346-354
N-heterocyclic carbenes (NHCs) have been established to be effective organocatalysts for facilitating the benzoin condensation and many other reactions. These reactions involve the formation of a Breslow intermediate (BI), which exhibits umpolung che
Autor:
Gurudutt Dubey, Nutan Mahawar, Tejender Singh, Nirjhar Saha, Subash C. Sahoo, Prasad V. Bharatam
Publikováno v:
Physical Chemistry Chemical Physics. 24:629-633
Thiazetin-2-ylidene as a quantum chemically designed four-membered N-heterocyclic carbene possesses high singlet stability and nucleophilicity and forms NHC→N+←(thiazetidin-2-ylidene) systems.