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Report

Photon bunching in cathodoluminescence induced by indirect electron excitation

Autor: Iyer, Vasudevan, Roccapriore, Kevin, Ng, Jacob, Srijanto, Bernadeta, Lingerfelt, David, Lawrie, Benjamin

The impulsive excitation of ensembles of excitons or color centers by a high-energy electron beam results in the observation of photon bunching in the second-order correlation function of the cathodoluminescence generated by those emitters. Photon bu

Externí odkaz: http://arxiv.org/abs/2301.10708

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Akademický článek

Passivation with sputtered silicon nitride and modified heat treatment for lifetime improvement

Autor: Utila, Masauko Henry ^{a, c}, Lin, Hao-Wei ^a, Chan, Hao-En ^a, Ng, Jacob Wilder ^a, Lin, Chun-Chieh ^b, Badgujar, Pooja Manik ^c, Cheng, Chia-Liang ^c, Yeh, Wang-Chi V. ^c, Lin, Chu-Hsuan ^{a, ⁎}

Publikováno v: In Materials Science in Semiconductor Processing January 2025 185

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Report

Glow Discharge Optical Emission Spectroscopy for Elemental Characterization of Doped TiO2 Thin Films made by Pulsed Laser Deposition

Autor: Ng, Jacob Wilder

Externí odkaz: https://hdl.handle.net/11250/3080104

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Test of English as a foreign language (TOEFL) : good indicator for student success at Community Colleges?

Autor: Ng, Jacob N. K.

Thesis (Ed. D.)--Oregon State University, 2008.
Printout. Includes bibliographical references (leaves 101-107). Also available on the World Wide Web.

Externí odkaz: http://hdl.handle.net/1957/7324

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Machine Aided Estimation of Solar Cell Crack Caused Power Loss from Electroluminescence Images

Autor: Del Prado Santamaria, Rodrigo, Hass, Thøger Kari, Benatto, Gisele Alves dos Reis, Ng, Jacob Wilder, Poulsen, Peter Behrensdorff, Spataru, Sergiu Viorel

Publikováno v: Del Prado Santamaria, R, Hass, T K, Benatto, G A D R, Ng, J W, Poulsen, P B & Spataru, S V 2022, Machine Aided Estimation of Solar Cell Crack Caused Power Loss from Electroluminescence Images . in Proceedings of 8 th World Conference on Photovoltaic Energy Conversion . EU PVSEC, pp. 480-487, 8 th World Conference on Photovoltaic Energy Conversion, Milano, Italy, 26/09/2022 . https://doi.org/10.4229/WCPEC-82022-3BO.11.6

In this work, we present and validate a machine learning approach for estimating power loss in monocrystalline silicon PV cells due to cell cracks. The primary focus is selection and evaluation of robust and accurate prediction-features derived from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1202::7339b3286e7cfea658f67b72882e4742
https://orbit.dtu.dk/en/publications/c20e2e44-bd65-499c-9e17-36856debb12c

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