Novel Materials and Devices for Terahertz Detection and Emission for Sensing, Imaging and Communication

Technical advancement is required to attain a high data transmission rate, which entails expanding beyond the currently available bandwidth and establishing a new standard for the highest data rates, which mandates a higher frequency range and larger bandwidth. The THz spectrum (0.1-10 THz) has been considered as an emerging next frontier for the future 5G and beyond technology. THz frequencies also offer unique characteristics, such as penetrating most dielectric materials like fabric, plastic, and leather, making them appealing for imaging and sensing applications. Therefore, employing a high-power room temperature, tunable THz emitters, and a high responsivity THz detector is essential. Dyakonov-theory Shur\u27s was applied in this dissertation to achieve tunable THz detection and emission by plasma waves in high carrier density channels of field-effect devices. The first major contribution of this dissertation is developing graphene-based THz plasmonics detector with high responsivity. An upside-down free-standing graphene in a field effect transistor based resonant room temperature THz detector device with significantly improved mobility and gate control has been presented. The highest achieved responsivity is ~3.1kV/W, which is more than 10 times higher than any THz detector reported till now. The active region is predominantly single-layer graphene with multi-grains, even though the fabricated graphene THz detector has the highest responsivity. The challenges encountered during the fabrication and measurement of the graphene-based detector have been described, along with a strategy to overcome them while preserving high graphene mobility. In our new design, a monolayer of hBN underneath the graphene layer has been deposited to increase the mobility and electron concentration rate further. We also investigated the diamond-based FETs for their potential characteristics as a THz emitters and detectors. Diamond\u27s wide bandgap, high breakdown field, and high thermal conductivity attributes make it a potential semiconductor material for high voltage, high power, and high-temperature operation. Diamond is a good choice for THz and sub-THz applications because of its high optical phonon scattering and high momentum relaxation time. Numerical and analytical studies of diamond materials, including p-diamond and n-diamond materials, are presented, indicating their effectiveness as a prospective contender for high temperature and high power-based terahertz applications These detectors are expected to be a strong competitor for future THz on-chip applications due to their high sensitivity, low noise, tunability, compact size, mobility, faster response time, room temperature operation, and lower cost. Furthermore, when plasma wave instabilities are induced with the proper biasing, the same devices can be employed as THz emitters, which are expected to have a higher emission power. Another key contribution is developing a method for detecting counterfeit, damaged, forged, or defective ICs has been devised utilizing a new non-destructive and unobtrusive terahertz testing approach to address the crucial point of hardware cybersecurity and system reliability. The response of MMICs, VLSI, and ULSIC to incident terahertz and sub-terahertz radiation at the circuit pins are measured and analyzed using deep learning. More sophisticated terahertz response profiles and signatures of specific ICs can be created by measuring a more significant number of pins under different frequencies, polarizations, and depth of focus. The proposed method has no effect on ICs operation and could provide precise ICs signatures. The classification process between the secure and unsecure ICs images has been explained using data augmentation and transfer learning-based convolution neural network with ~98% accuracy. A planar nanomatryoshka type core-shell resonator with hybrid toroidal moments is shown both experimentally and analytically, allowing unique characteristics to be explored. This resonator may be utilized for accurate sensing, immunobiosensing, quick switching, narrow-band filters, and other applications

Electrical Compact Modeling of Graphene Base Transistors

Following the recent development of the Graphene Base Transistor (GBT), a new electrical compact model for GBT devices is proposed. The transistor model includes the quantum capacitance model to obtain a self-consistent base potential. It also uses a versatile transfer current equation to be compatible with the different possible GBT configurations and it account for high injection conditions thanks to a transit time based charge model. Finally, the developed large signal model has been implemented in Verilog-A code and can be used for simulation in a standard circuit design environment such as Cadence or ADS. This model has been verified using advanced numerical simulation

Going Ballistic: Graphene Hot Electron Transistors

This paper reviews the experimental and theoretical state of the art in ballistic hot electron transistors that utilize two-dimensional base contacts made from graphene, i.e. graphene base transistors (GBTs). Early performance predictions that indicated potential for THz operation still hold true today, even with improved models that take non-idealities into account. Experimental results clearly demonstrate the basic functionality, with on/off current switching over several orders of magnitude, but further developments are required to exploit the full potential of the GBT device family. In particular, interfaces between graphene and semiconductors or dielectrics are far from perfect and thus limit experimental device integrity, reliability and performance

Graphene Base Transistors: A Simulation Study of DC and Small-Signal Operation

n/

Modeling Of Two Dimensional Graphene And Non-graphene Material Based Tunnel Field Effect Transistors For Integrated Circuit Design

The Moore’s law of scaling of metal oxide semiconductor field effect transistor (MOSFET) had been a driving force toward the unprecedented advancement in development of integrated circuit over the last five decades. As the technology scales down to 7 nm node and below following the Moore’s law, conventional MOSFETs are becoming more vulnerable to extremely high off-state leakage current exhibiting a tremendous amount of standby power dissipation. Moreover, the fundamental physical limit of MOSFET of 60 mV/decade subthreshold slope exacerbates the situation further requiring current transport mechanism other than drift and diffusion for the operation of transistors. One way to limit such unrestrained amount of power dissipation is to explore novel materials with superior thermal and electrical properties compared to traditional bulk materials. On the other hand, energy efficient steep subthreshold slope devices are the other possible alternatives to conventional MOSFET based on emerging novel materials. This dissertation addresses the potential of both advanced materials and devices for development of next generation energy efficient integrated circuits. Among the different steep subthreshold slope devices, tunnel field effect transistor (TFET) has been considered as a promising candidate after MOSFET. A superior gate control on source-channel band-to-band tunneling providing subthreshold slopes well below than 60 mV/decade. With the emergence of atomically thin two-dimensional (2D) materials, interest in the design of TFET based on such novel 2D materials has also grown significantly. Graphene being the first and the most studied among 2D materials with exotic electronic and thermal properties. This dissertation primarily considers current transport modeling of graphene based tunnel devices from transport phenomena to energy efficient integrated circuit design. Three current transport models: semi-classical, semi-quantum and numerical simulations are described for the modeling of graphene nanoribbon tunnel field effect transistor (GNR TFET) where the semi-classical model is in close agreement with the quantum transport simulation. Moreover, the models produced are also extended for integrated circuit design using Verilog-A hardware description language for logic design. In order to overcome the challenges associated with the band gap engineering for making graphene transistor for logic operation, the promise of graphene based interlayer tunneling transistors are discussed along with their existing fundamental physical limitation of subthreshold slope. It has been found that such interlayer tunnel transistor has very poor electrostatic gate control on drain current. It gives subthreshold slope greater than the thermionic limit of 60 mV/decade at room temperature. In order to resolve such limitation of interlayer tunneling transistors, a new type of transistor named “junctionless tunnel effect transistor (JTET)” has been invented and modeled for the first time considering graphene-boron nitride (BN)-graphene and molybdenum disulfide (MoS2)-boron nitride (BN) heterostructures, where the interlayer tunneling mechanism controls the source-drain ballistic transport instead of depleting carriers in the channel. Steep subthreshold slope, low power and high frequency THz operation are few of the promising features studied for such graphene and MoS2 JTETs. From current transport modeling to energy efficient integrated circuit design using Verilog-A has been carried out for these new devices as well. Thus, findings in this dissertation would suggest the exciting opportunity of a new class of next generation energy efficient material based transistors as switches

Semiconductor Surface State Engineering for THz Nanodevices

This chapter is dedicated to study the semiconductor surface states, which combined with nanolithography techniques could result on remarkable properties of advanced nanodevices suitable for terahertz (THz) signal detection or harvesting. The author presents the use of low-dimensional semiconductor heterostructures for the development of the so-called self-switching diodes (SSDs), studying by simulation tool key parameters in detail such as the shape and size of the two-dimensional electron gas system. The impact of the geometry on the working principle of the nanodevice and the effects on current-voltage behavior will be described in order to acquire design guidelines that may improve the performance of the self-switching diodes when applied to low-power square-law rectifiers as well as elements in rectennas by appropriately setting the size of the components