جستجوی استاد راهنمای دانشگاهی

• Semiconductor Device Simulation
• Nanoelectronics
• TCAD (Technology Computer-Aided Design)
• +۳ مورد دیگر

Daniel Nagy is an Assistant Professor at the Department of Electronics and Computing within the Higher Polytechnic School of Engineering at the University of Seville. His research focuses on nanoelectronics, semiconductor device simulation, and TCAD technologies. He leads the ARQCOMP research group, specializing in computer architecture and novel transistor design. Education details are not explicitly provided in the texts, but his academic focus suggests advanced training in electronics engineering or related fields. His research interests include quantum transport phenomena, nanoscale device variability analysis, and computational modeling of FinFETs, nanowire FETs, and nanosheet transistors. He has extensively contributed to TCAD simulation frameworks such as NESS (Nano-Electronic Simulation Software), emphasizing open-source tools. Research Trends: His work emphasizes transistor scaling challenges for sub-2nm nodes, device variability mitigation, and the development of modular simulation tools. Key topics include nanosheet FET optimization, POM-based molecular memory systems, and benchmarking of emerging transistor architectures. His studies often bridge quantum mechanics (via Schrödinger equation modeling) with classical transport phenomena. No scientific awards are mentioned in the provided texts. He has advised no publicly listed PhD/Master’s students. His ARQCOMP group collaborates on next-generation electronic device architectures and simulation methodologies. Labs/Teams: The ARQCOMP group focuses on advancing computer architecture and nanoelectronic device simulation through interdisciplinary approaches, integrating computational physics, materials science, and electrical engineering.

Julián García Fernándezمشاهده پروفایل

استاد مهمان

• Semiconductor Physics
• Machine Learning
• Solid-State Physics
• +۳ مورد دیگر

Julián García Fernández serves as a Visiting Professor at the University of Santiago de Compostela, based in Laboratory S2. His contact details include email: julian.garcia.fernandez2@usc.es and phone: +34 881816392. His primary research interests include: Semiconductor Physics Machine Learning Solid-State Physics Microelectronics Device Physics Computational Physics Dr. García Fernández's recent work demonstrates a focus on applying machine learning to semiconductor device simulation (TCAD) and thermal management. He has developed tools such as MLFoMpy for post-processing semiconductor data and novel workflows for optimizing cooling devices using solid-state physics principles. His research addresses challenges in ultra-scaled transistor technologies and device fluctuations, bridging computational methods with experimental physics. He is affiliated with Laboratory S2 at the University of Santiago de Compostela, which supports advanced research in semiconductor technologies and device physics through interdisciplinary collaboration.