Machine Learning-Based Modelling in Atomic Layer Deposition Processes (ePub)
This book describes the application of machine learning modelling approaches in atomic layer deposition and presents detailed information on modelling, optimization, and prediction of the behaviour and characteristics of ALD for improved process quality control.
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This book describes the application of machine learning modelling approaches in atomic layer deposition and presents detailed information on modelling, optimization, and prediction of the behaviour and characteristics of ALD for improved process quality control.
Sina Karimzadeh is a PhD research candidate at the University of Johannesburg. He holds a MSc degree in Mechanical engineering from the University of Johannesburg in 2020. He has been selected as one of the prospective for the chancellors Medal for the most meritorious Masters study for 2020. His current research interest focuses on the development of Li-ion battery active components and interface engineering by using atomic layer
Tien-Chien Jen is a full professor and the Head of Department, Mechanical Engineering, University of Johannesburg. Before then, Prof Jen was a faculty member at University of Wisconsin, Milwaukee. Prof Jen received his Ph.D. in Mechanical and Aerospace Engineering from UCLA, specializing in thermal aspects of grinding. He has received several competitive grants for his research, including those from the US National Science Foundation, the US Department of Energy and the EPA. He is also the Director of Manufacturing Research Centre of the University of Johannesburg. Meanwhile, SA National Research Foundation has awarded Prof Jen a NNEP grant (National Nano Equipment Program) worth of USD 1.5 million to acquire two state-of-the-art Atomic Layer Deposition (ALD) tools to be housed in a 220m2 10000 level (ISO 7) clean room facility for ultra-thin film coating. These two ALD Research facility will be the first in South Africa and possibly the first in Africa continent. He has made extensive contributions to the field of mechanical engineering, specifically in the area of machining processes, atomic layer deposition, cold gas dynamics spraying, fuel cells and hydrogen technology, batteries, and material processing. He has published several journals articles, books and book chapters in these spaces in reputable journals, and presented in several conferences.
- Autoren: Oluwatobi Adeleke , Sina Karimzadeh , Tien-Chien Jen
- 2023, 1. Auflage, 376 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1003803334
- ISBN-13: 9781003803331
- Erscheinungsdatum: 15.12.2023
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- Dateiformat: ePub
- Grösse: 16 MB
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