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      BSIM-SOI Industry-Standard Compact Model

      Surface Potential-Based FET Model for RFIC Design

      AvChetan Kumar Dabhi,Debashish Nandi

      Häftad, Engelska, 2026

      Del i serien Woodhead Publishing Series in Electronic and Optical Materials

      2 247 kr

      Kommande

      Beskrivning

      This book provides complete coverage of compact modeling and design techniques specific to silicon-on-insulator (SOI) transistors. It is the first comprehensive guide that thoroughly explains the industry-standard surface-potential-based BSIM-SOI compact model (BSIM-SOI 100 series), contrasting it with the legacy threshold-voltage-based BSIM-SOI model (BSIM-SOI 4 series), and provides unique modeling and RF design techniques necessary for the accurate extraction and implementation of the model.

      BSIM-SOI is the most widely used compact model for SOI MOSFETs in the semiconductor industry. This book aims to equip designers, engineers, and researchers with the knowledge and tools required to optimize SOI-based RF technology, circuit performance, and system integration using BSIM-SOI. The book explains the fundamental surface-potential calculations and addresses various real device effects (such as floating body effect, self-heating effect, dynamic depletion effect, nonlinear body resistance effect, noise, and various leakages, etc.) and layout influences to accurately replicate realistic device behavior. Additionally, it outlines step-by-step parameter extraction procedures for the BSIM-SOI model and presents results from benchmark circuit validations with a primary focus on RF SoC applications.

      This book will be a valuable reference for the expanding field of SOI technology, catering specifically to circuit designers, device engineers, academic researchers, and students.

      • Serves as an invaluable practical reference for comprehending the operational intricacies and underlying physics of SOI devices
      • Comprehensively covers all facets of the BSIM-SOI model, offering insights directly from model developers themselves
      • Offers detailed insights into, and solutions for, the challenges associated with extracting parameters from SOI devices due to factors such as conventional and gate-induced floating body effects, dynamic depletion effects, etc.
      • Provides clear guidance (focusing primarily on the modeling process) on the accurate SOI device measurement techniques and the measurement data needed to extract BSIM-SOI model parameters
      • Discusses RF Transmit/Receive switch and Low Noise Amplifier design and links these to device parameters via physics-based BSIM-SOI compact model

      Produktinformation

      • Utgivningsdatum:2026-11-01
      • Mått:152 x 229 x undefined mm
      • Format:Häftad
      • Språk:Engelska
      • Serie:Woodhead Publishing Series in Electronic and Optical Materials
      • Antal sidor:350
      • Förlag:Elsevier Science
      • ISBN:9780443439049

      Utforska kategorier

      • Produktdesign inom Kultur
      • Maskinteknik och material inom Naturvetenskap och teknik
      • Elektronik och kommunikationer inom Naturvetenskap och teknik

      Mer om författaren

      Chetan Kumar Dabhi is a Staff Engineer at pSemi Corporation, San Diego, United States. He specializes in developing and supporting industry-standard compact models for diverse semiconductor devices, including SOI FETs, FinFETs, and Bulk FETs (BSIM-SOI, BSIM-IMG, BSIM-BULK, and BSIM4).Debashish Nandi is a Researcher in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, India. His research focuses on compact modelling and device characterization of various nanoscale devices, primarily SOI MOSFETs for RF applications for advanced communication standards like 5G and 6G.Dinesh Rajasekharan is a Postdoctoral Researcher in the BSIM group at the University of California Berkeley, United States. His research covers semiconductor device compact model development, neuromorphic computing using emerging semiconductor devices, and using neural networks in electronics applications.Chenming Hu is TSMC Distinguished Chair Professor Emeritus at the University of California Berkeley, United States. He was the Chief Technology Officer of TSMC. He received the US Presidential Medal of Technology and Innovation from Pres. Barack Obama for developing the first 3D thin-body transistor FinFET, MOSFET reliability models and leading the development of BSIM industry standard transistor model that is used in designing most of the integrated circuits in the world. He is a member of the US Academy of Engineering, the Chinese Academy of Science, and Academia Sinica. He received the highest honor of IEEE, the IEEE Medal of Honor, and its Andrew Grove Award, Solid Circuits Award, and the Nishizawa Medal. He also received the Taiwan Presidential Science Prize and UC Berkeley’s highest honor for teaching – the Berkeley Distinguished Teaching Award.Yogesh Singh Chauhan is a Chair Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, India. He is the developer of several industry standard models: ASM-HEMT, BSIM-BULK (formerly BSIM6), BSIM-CMG, BSIM-IMG, BSIM4 and BSIM-SOI models. His research group is involved in developing compact models for GaN transistors, FinFET, nanosheet/gate-all-around FETs, FDSOI transistors, negative capacitance FETs and 2D FETs. His research interests are RF characterization, modeling, and simulation of semiconductor devices.Ananth Sundaram is a Deputy Director at GlobalFoundries, Bengaluru, India. He is a technology professional with experience in semiconductor modeling, design, and measurement.

      Innehållsförteckning

      • 1. General overview of SOI models and technology trends2. Core model formulation3. Real device effects4. Terminal charges and capacitances5. Leakage currents6. Noise models in BSIM-SOI7. Body contact parasitics – modeling approach8. Self-Heating and Temperature Effects9. Cutting-Edge RF Modeling and Validation Techniques10. Integrating BSIM-SOI Models in Analog, Digital, and RF Designs11. Parameter Extraction12. Model Quality testing
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