Process Modelling and Simulation for Semiconductor Microfabrication
July 14th, 2023 (GMT+3)
Department of Biomedical Engineering, Faculty of Engineering, Çukurova University
Mustafa Istanbullu is an Assistant Professor and vice chair of the undergraduate program in Biomedical Engineering at Çukurova University, where he has been working since 2021. He received his Bachelor's degree in Electrical and Electronics Engineering and later earned a master's degree in Biomedical Engineering from the Istanbul Technical University.
For his master's thesis, he focused on the early diagnosis of osteoporosis using artificial neural networks and support vector machines. He then pursued his PhD at Çukurova University, where his research centered around the design and simulation of a carbon nanotube hybridized field-effect transistor biopotential sensor.
His research interests include microelectronics, microfabrication of semiconductor devices, modeling of electronic devices, analog/digital circuit design, and biomedical instrumentation. He has published articles in international scientific journals and has received an international patent in 2021 for his invention of an ANN-based single calibration impedance measurement system for skin impedance range. He is committed to advancing the field of biomedical engineering and providing his students with an exceptional education.
Dr. Mustafa İSTANBULLU, Çukurova University, mistanbullu@cu.edu.tr
Ms. Büşra OĞUZHAN, Çukurova University, busraoguzhn96@gmail.com
Background:
The semiconductor industry plays a critical role in advancing technology, with semiconductor device fabrication processes being at the core of producing high-performance electronic components. Efficient design and optimization of these processes are essential for achieving optimal device performance, yield, and cost-effectiveness. Process modeling and simulation techniques have emerged as valuable tools for understanding, analyzing, and improving semiconductor device fabrication processes. By accurately representing and simulating various process steps, these tools enable engineers and researchers to optimize process parameters, predict device characteristics, and identify areas for improvement. To equip participants with the necessary skills and knowledge in this domain, we propose a workshop focused on introducing process modeling software tools for simulating and optimizing semiconductor device fabrication processes.
Goal/Rationale:
The goal of this workshop is to provide participants with a comprehensive understanding of a process modeling software tool and its applications in simulating and optimizing semiconductor device fabrication processes. By the end of the workshop, participants will be equipped with the necessary knowledge and hands-on experience to effectively leverage this tool in their own research, development, and industrial projects related to semiconductor device fabrication.
Scope and Information for Participants:
Introduction to Semiconductor Device Fabrication Processes: Participants will receive an overview of the fundamental processes involved in semiconductor device fabrication, such as lithography, deposition, etching, and doping.
Overview of Process Modeling and Simulation: Participants will gain an understanding of the importance and benefits of process modeling and simulation in optimizing semiconductor device fabrication processes. Key concepts, challenges, and methodologies related to process modeling will be discussed.
Hands-on Sessions: Participants will engage in hands-on sessions to gain practical experience using a process modeling software tool for simulating and optimizing semiconductor device fabrication processes. They will learn to create process models, define process parameters, simulate fabrication steps, and analyze the resulting device characteristics. These sessions will provide participants with a deeper understanding of how to apply simulation-based optimization techniques in their own work.
Case Studies: The workshop will include case studies where process modeling and simulation have been successfully employed to optimize semiconductor device fabrication processes. Participants will explore different process variations, analyze their impact on device performance, and discuss strategies for process optimization.
Open Discussion and Q&A: Throughout the workshop, there will be dedicated sessions for open discussions and Q&A, allowing participants to share their experiences, seek guidance from the workshop instructors, and collaborate with fellow participants.
Prerequisites: Participants should have a basic understanding of semiconductor device fabrication processes and familiarity with engineering concepts. Prior experience with process modeling software tools is not required but would be beneficial.
Target Audience: This workshop is intended for researchers, engineers, and students involved in semiconductor device fabrication, process design, optimization, and research in universities, and research institutions. Participants from diverse backgrounds such as electrical engineering, materials science, and related disciplines are welcome.
Equipment: Participants are expected to bring their laptops with the necessary process modeling software tools installed. Detailed instructions regarding the software requirements and installation procedures will be provided well in advance.
During this comprehensive academic workshop, participants delved into the world of semiconductor device fabrication processes and gained invaluable insights into the practical applications of process modeling and simulation.
The workshop began with an introduction to semiconductor device fabrication processes, laying the foundation for participants to understand essential concepts such as lithography, deposition, etching, and doping. Participants then explored the significance of process modeling and simulation in optimizing these intricate processes, emphasizing the benefits and methodologies involved.
Hands-on sessions were a pivotal component of the workshop, allowing participants to acquire practical skills using process modeling software tools. They learned to construct process models, manipulate parameters, simulate fabrication steps, and analyze resulting device characteristics. These sessions provided participants with a deep understanding of how to employ simulation-based optimization techniques in their research and industrial projects.
Case studies showcased successful applications of process modeling and simulation, enabling participants to explore various process variations, assess their impact on device performance, and strategize for process optimization.
Throughout the workshop, open discussions and Q&A sessions fostered collaboration, enabling participants to share experiences, seek guidance from instructors, and engage with peers from diverse backgrounds, including electrical engineering and materials science.
In summary, this workshop empowered researchers, engineers, and students with the knowledge, skills, and practical experience needed to leverage process modeling software tools effectively in semiconductor device fabrication, process design, and optimization projects.
Balcalı, Çukurova Üniversitesi Rektörlüğü, 01330 Sarıçam/Adana, Turkey

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