Optimizing Fabrication and Modeling of Quantum Dot Superlattice for Fets and Nonvolatile Memories

Optimizing Fabrication and Modeling of Quantum Dot Superlattice for Fets and Nonvolatile Memories PDF Author: Pial Mirdha
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages :

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Book Description
Quantum Dot Superlattice (QDSL) are novel structures which can be applied to transistors and memory devices to produce unique current voltage characteristics. QDSL are made of Silicon and Germanium with an inner intrinsic layer surrounded by their respective oxides and in the single digit nanometer range. When used in transistors they have shown to induce 3 to 4 states for Multi-Valued Logic (MVL). When applied to memory they have been demonstrated to retain 2 bits of charge which instantly double the memory density. For commercial application they must produce consistent and repeatable current voltage characteristics, the current QDSL structures consist of only two layers of quantum dots which is not a robust design. This thesis demonstrates the utility of using QDSL by designing MVL circuit which consume less power while still producing higher computational speed when compared to conventional cmos based circuits. Additionally, for reproducibility and stability of current voltage characteristics, a novel 4 layer of both single and mixed quantum dots are demonstrated. The stacking of QDSL of more than 2 layers allows greater charge storage whic can add lead to more distinct MVL and memory states. This QDSL structure is verified using AFM. Also demonstrated is the capability to assemble only one layer of QDSL. Finally a physics and surface potential based numerical model is developed which incorporates the QDSL structures charge storage. This is can be used to model transistors and memory for circuit application or for individual device physics analysis for optimization. The QDSL charge storage in modeled in a computationally less intensive way when compared to their derivation from quantum mechanics.

Optimizing Fabrication and Modeling of Quantum Dot Superlattice for Fets and Nonvolatile Memories

Optimizing Fabrication and Modeling of Quantum Dot Superlattice for Fets and Nonvolatile Memories PDF Author: Pial Mirdha
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages :

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Book Description
Quantum Dot Superlattice (QDSL) are novel structures which can be applied to transistors and memory devices to produce unique current voltage characteristics. QDSL are made of Silicon and Germanium with an inner intrinsic layer surrounded by their respective oxides and in the single digit nanometer range. When used in transistors they have shown to induce 3 to 4 states for Multi-Valued Logic (MVL). When applied to memory they have been demonstrated to retain 2 bits of charge which instantly double the memory density. For commercial application they must produce consistent and repeatable current voltage characteristics, the current QDSL structures consist of only two layers of quantum dots which is not a robust design. This thesis demonstrates the utility of using QDSL by designing MVL circuit which consume less power while still producing higher computational speed when compared to conventional cmos based circuits. Additionally, for reproducibility and stability of current voltage characteristics, a novel 4 layer of both single and mixed quantum dots are demonstrated. The stacking of QDSL of more than 2 layers allows greater charge storage whic can add lead to more distinct MVL and memory states. This QDSL structure is verified using AFM. Also demonstrated is the capability to assemble only one layer of QDSL. Finally a physics and surface potential based numerical model is developed which incorporates the QDSL structures charge storage. This is can be used to model transistors and memory for circuit application or for individual device physics analysis for optimization. The QDSL charge storage in modeled in a computationally less intensive way when compared to their derivation from quantum mechanics.

Quantum Dot Gate Nonvolatile Memory

Quantum Dot Gate Nonvolatile Memory PDF Author: Ravi Shankar R. Velampati
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Nanotechnology For Electronics, Biosensors, Additive Manufacturing And Emerging Systems Applications

Nanotechnology For Electronics, Biosensors, Additive Manufacturing And Emerging Systems Applications PDF Author: Faquir C Jain
Publisher: World Scientific
ISBN: 9811242836
Category : Technology & Engineering
Languages : en
Pages : 210

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Book Description
Published as part of the well-established book series, Selected Topics in Electronics and Systems, this compendium features 18 peer reviewed articles focusing on high-performance materials and emerging devices for implementation in high-speed electronic systems.Wide-ranging topics span from novel materials and devices, biosensors and bio-nano-systems, artificial intelligence, robotics and emerging technologies, to applications in each of these fields.Systems for implementing data with security tokens; single chemical sensor for multi-analyte mixture detection; RF energy harvesters; additively manufactured RF devices for 5G, IoT, RFID and smart city applications are also prominently included.Written by eminent researchers, recent developments also highlight equivalent circuits models at room temperature and 4.2 K; quantum dot nonvolatile memories, 3D-confined quantum dot channel (QDC) and spatial wavefunction switched (SWS) FETs for high-speed multi-bit logic and novel system applications.

High Performance Materials And Devices For High-speed Electronic Systems

High Performance Materials And Devices For High-speed Electronic Systems PDF Author: Faquir C Jain
Publisher: World Scientific
ISBN: 9813276312
Category : Technology & Engineering
Languages : en
Pages : 150

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Book Description
In this review volume, the editors have included the state-of-the-art research and development in nano composites, and optical electronics written by experts in the field. In addition, it also covers applications for emerging technologies in High-Speed Electronics.In summary, topics covered in this volume includes various aspects of high performance materials and devices for implementing High-Speed Electronic systems.

Resistive Random Access Memory (RRAM)

Resistive Random Access Memory (RRAM) PDF Author: Shimeng Yu
Publisher: Springer Nature
ISBN: 3031020308
Category : Technology & Engineering
Languages : en
Pages : 71

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Book Description
RRAM technology has made significant progress in the past decade as a competitive candidate for the next generation non-volatile memory (NVM). This lecture is a comprehensive tutorial of metal oxide-based RRAM technology from device fabrication to array architecture design. State-of-the-art RRAM device performances, characterization, and modeling techniques are summarized, and the design considerations of the RRAM integration to large-scale array with peripheral circuits are discussed. Chapter 2 introduces the RRAM device fabrication techniques and methods to eliminate the forming process, and will show its scalability down to sub-10 nm regime. Then the device performances such as programming speed, variability control, and multi-level operation are presented, and finally the reliability issues such as cycling endurance and data retention are discussed. Chapter 3 discusses the RRAM physical mechanism, and the materials characterization techniques to observe the conductive filaments and the electrical characterization techniques to study the electronic conduction processes. It also presents the numerical device modeling techniques for simulating the evolution of the conductive filaments as well as the compact device modeling techniques for circuit-level design. Chapter 4 discusses the two common RRAM array architectures for large-scale integration: one-transistor-one-resistor (1T1R) and cross-point architecture with selector. The write/read schemes are presented and the peripheral circuitry design considerations are discussed. Finally, a 3D integration approach is introduced for building ultra-high density RRAM array. Chapter 5 is a brief summary and will give an outlook for RRAM’s potential novel applications beyond the NVM applications.

Science Abstracts

Science Abstracts PDF Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1360

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Book Description


Chemical Abstracts

Chemical Abstracts PDF Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 2540

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Book Description


Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 694

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Book Description


3D TCAD Simulation for Semiconductor Processes, Devices and Optoelectronics

3D TCAD Simulation for Semiconductor Processes, Devices and Optoelectronics PDF Author: Simon Li
Publisher: Springer Science & Business Media
ISBN: 1461404819
Category : Technology & Engineering
Languages : en
Pages : 303

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Book Description
Technology computer-aided design, or TCAD, is critical to today’s semiconductor technology and anybody working in this industry needs to know something about TCAD. This book is about how to use computer software to manufacture and test virtually semiconductor devices in 3D. It brings to life the topic of semiconductor device physics, with a hands-on, tutorial approach that de-emphasizes abstract physics and equations and emphasizes real practice and extensive illustrations. Coverage includes a comprehensive library of devices, representing the state of the art technology, such as SuperJunction LDMOS, GaN LED devices, etc.

Neuro-inspired Computing Using Resistive Synaptic Devices

Neuro-inspired Computing Using Resistive Synaptic Devices PDF Author: Shimeng Yu
Publisher: Springer
ISBN: 9783319853680
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology.