2D Nanomaterials and Devices for Flexible Electronics

The text explains 2D materials, nanodevices, and analysis of their design parameters to meet the sub-nano-regime challenges for complementary metal-oxide-semiconductor devices. It further covers important topics such as 2D nanomaterial-based transistors, flexible sensors, wearable electronics, flexible energy storage devices, 2D nanomaterial-based antennas, and artificial intelligence-enhanced flexible electronics. Features: • Explains the design of flexible transistors based on 2D nanomaterials, and the manufacturing process for flexible devices with 2D materials. • Discusses the importance of artificial intelligence in the modeling, simulation, characterization, and development of flexible electronic devices. • Presents applications of 2D nanomaterials-based flexible devices on the Internet of Things and healthcare sector. • Highlights the importance of 2D materials in the design of flexible sensors, and wearable electronic devices. • Showcases how to integrate flexible sensors and low-power devices based on 2D nanomaterials into the Internet of Things for intelligent homes. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, materials science, nanoscience, and nanotechnology.

Table of Contents:
Chapter 1. 2D NANOMATERIAL BASED TRANSISTORS. Chapter 2. 2D Materials for MEMS Applications. Chapter 3. Nature and Synthesis of 2D Nanomaterials. Chapter 4. Recent Advances in Synthesis and Properties of 2-D Nanomaterials.Chapter 5. Application of 2D Nanomaterials in healthcare. Chapter 6. Sustainability of Graphene Nanoribbon as Interconnect. Chapter 7. Role of Nanomaterials in Performance Improvement of Global VLSI Interconnects. Chapter 8. Behavioral Study of Gate work function variation on GAA Nanowire Device with Heterojunction and Core-insulator. Chapter 9. Gate All Around structures for low power applications. Chapter 10. Role of Plasmonics in the Development of PCF Sensors. Chapter 11. Low Noise Multiplexed Neural Signal Amplifier for Wearable Medical Devices

About the Author :
Balwinder Raj is currently working as an Associate Professor at National Institute of Technology, Jalandhar, India. He has more than 15 years of teaching and research experience. His areas of interest in research includes Classical/Non-Classical Nanoscale Semiconductor Device Modeling, Nanoelectronic and their applications in hardware security, sensors and circuit design, FinFET based Memory design, Low Power VLSI Design, Digital/Analog VLSI Design and FPGA implementation. Shobhit Saxena is an Assistant Professor in the Department of Electronics & Communication Engineering at Chaudhary Charan Singh University, Meerut. He received his PhD degree from the Indian Institute of Technology (IIT), Dhanbad, in 2022. His current research interest includes printed antennas, the effect of RF-EMF on the environment, nanomaterials and flexible electronics. Nandakishor Yadav is currently working as a senior scientist with the Fraunhofer Institute for Photonic Microsystems, Dresden, Germany. He has more than 10-years of experience in the field of research and teaching. Tarun Chaudhary is currently working as an Assistant Professor in ECE Department, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India. Her present research is largely focused on the design and modeling of nanoscale devices, TFETs, Junctionless devices and Low power VLSI Design Circuits. Mandeep Singh has done his B.Tech in Electronics & Communication Eng. & M.tech ECE (VLSI DESIGN) from Punjabi University Patiala and PhD from NIT, Jalandhar. Currently, he is working as Postdoc Fellow at the Indian Institute of Technology, Kanpur. His areas of research are semiconductor device modelling, memory design, CNT & Nanowire, FeFET, Ferroelectric Memory and low power VLSI design.