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Institute for Electronics and Nanotechnology (IEN)

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Now showing 1 - 10 of 32
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    Inverse Microstructure and Processing Design and Homogenization
    (Georgia Institute of Technology, 2017-12-12) Garmestani, Hamid
    The field of materials and microstructure design and characterization techniques has progressed significantly in the past two decades. Materials and processing design methodologies effectively utilize the incomplete materials knowledgebase to link final product properties to initial microstructure. Microstructure representation has become a primary vehicle to reach this goal. Characterization techniques that can provide consistent microstructure representation include x-ray, microscopy (SEM, TEM), and tomography. Methodologies that can make the Inverse Materials Design a reality require novel mathematical and computational frameworks and methodologies in addition to experimentally-based knowledge creation to integrate computational-prediction and experimental-validation approaches. This talk will present current advances in multiscale computational materials frameworks based on Microstructure Sensitive Design and statistical homogenization techniques. Microstructure representation and digitization using spectral techniques are at the heart of such methodologies. Application of the present methodologies in thermo-mechanical processing of advanced magnesium alloys, the effect of machining in Al and Titanium alloys and processing of textured silicon solar cells and solid Oxide Fuel Cells are discussed with respect to inverse methodologies.
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    Performance Modeling, Design, and Benchmarking for Beyond-CMOS Devices and Circuits
    (Georgia Institute of Technology, 2017-11-28) Naeemi, Azad
    A diverse set of novel materials, physical phenomena, interconnects, logic and memory devices, and circuit/system concepts are being studied globally to sustain the exponential growth of the computational power of integrated circuits. As such, the search for beyond-CMOS devices and circuits must deal with all the levels of abstraction and must take a holistic approach to evaluate the potential performance of each possible option. In this talk, I will first present physical models for electronic and spintronic transport properties of various conventional and emerging materials such as graphene, Si and Cu. Then I will present compact physical models (SPICE models) for various physical phenomena such as nanomagnet dynamics, spin-orbit coupling and spin waves. The utilization of these models for device modeling will then be discussed and I will show how these models can be used to model the behavior of some of the proposed beyond-CMOS devices and to evaluate their potential performance once they are used in various representative Boolean and neuromorphic circuits. Through several examples, I will show how this process can be used to identify the main limiting factors for each device and to revise and refine them.
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    Designing Multi-Functional Electrodes for Next-Generation Energy Storage Devices
    (Georgia Institute of Technology, 2017-11-14) Lee, Seung Woo
    Although lithium-ion batteries and supercapacitors have shown rapid progress over the last two decades, next-generation energy storage applications, such as fast-evolving portable electronics, electrified propulsion, and loadleveling for renewable energy systems, require multi-functional energy sources that have both high-energy and -power, long cycle life, and flexibility, exceeding the performance of conventional energy storage devices. Aiming towards such advanced energy storage technologies, Dr. Lee’s research pays particular attention to harnessing charge storage reactions of nanostructured electrodes and their nano-fabrication processes. In this presentation, we will discuss our recent progress on designing multi-functional electrode materials. We will first show that redox-active organic electrodes prepared from earthabundant organic materials can be promising cathodes for large-scale energy storage devices. We reveal that these organic electrodes have promising charge storage properties for both Li- and Na-ion storage. The assembled organic electrodes are employed as cathodes for hybrid capacitors and Li- and Na-ion batteries, delivering high capacity with superior power capability and cycling stability. Thus, these high-performance organic electrodes can be promising cathodes for large-scale rechargeable batteries or hybrid capacitors. Next, we will introduce a new self-assembly technique, called a ligand-mediated layer-bylayer assembly, which can convert the insulating paper or fabric to highly porous metallic current collectors. Using this technique, we demonstrate the multifunctional energy storage devices for flexible and wearable energy storage devices.
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    Engineered Microfluidic Systems for Disease Modeling and Nanomedicine Testing
    (Georgia Institute of Technology, 2017-10-19) Kim, YongTae
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    NanoFANS Fall 2017 Forum: Introduction
    (Georgia Institute of Technology, 2017-10-19) Brand, Oliver
    Introduction for the Fall 2017 NanoFANS Forum.
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    Culturing Endothelial Cells in Microfluidics
    (Georgia Institute of Technology, 2017-10-19) Lam, Wilbur A.
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    Personal Assay System for Label-free Real-time Kinetic Binding Data
    (Georgia Institute of Technology, 2017-10-13) Bundy, Ross ; Goldsmith, Brett
    Introducing Field Effect Biosensing (FEB), a breakthrough label-free technology for measuring biomolecular interactions. FEB is different from any technique you’ve heard of before, and it’s revolutionizing pharmaceutical development. FEB is an electrical technique that measures the current across a graphene biosensor surface functionalized with immobilized biomolecular targets. It’s a unique orthogonal methodology that works when others fail, providing accurate kinetic, affinity, and concentration measurements.
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    Quantum Computing for Science
    (Georgia Institute of Technology, 2017-09-26) Brown, Kenneth R.
    Quantum computation promises to provide scientists and engineers a new tool for accurately and efficiently calculating the properties of materials and molecules. The challenge is how to build a sufficiently large quantum computer that can compete with today's classical computer systems. After introducing the promises and challenges of quantum computers, I will discuss my group's approach to making robust quantum computers via quantum control and quantum error correction.
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    Negative Capacitance Technology for Ultra-low Power Computing
    (Georgia Institute of Technology, 2017-08-22) Khan, Asif I.
    Negative capacitance - an unusual physical phenomenon, where the stored charge decreases with an increasing voltage - can find interesting applications in electronics. For example, when used as the gate oxide in the MOSFET, a negative capacitance material can reduce the subthreshold swing below the fundamental physical limit of 60 mV/decades [1]. This device technology can, in turn, significantly lower the energy dissipation in CMOS circuits by enabling new pathways for arbitrarily reducing the power supply voltage. I will give an overview of the exciting developments in the field of negative capacitance over the past six years starting from the theoretical prediction in 2008 to the clean experimental demonstration of this phenomenon in archetypal ferroelectric oxides [2,3]. I will also discuss our recent experimental work on negative capacitance transistors [4] and energy and performance projections of circuits based on negative capacitance MOSFETs [5,6,7]
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    Session 1: nSpec® – Tools for the Next Industrial Revolution A History of Nanotronics & Technological Convergence
    ( 2017-06-28) Putman, Matthew
    This seminar will focus on the future of advanced manufacturing and how Nanotronics is bringing tools and software to market to help achieve that vision. Central to that vision is the concept of Artificial Intelligence Process Control – a concept that will be enabled through innovation taking place in our labs and from feedback at customer sites that are beginning to transform their production lines with our technology. We plan to address advancements in image analysis software, automation, and a variety of specific use-cases we’ve encountered over the course of the past several years.