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Filtering by: Has journal ECS Journal of Solid State Science and Technology Remove constraint Has journal: ECS Journal of Solid State Science and Technology Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Atomic solid state energy scale applied to novel thin-film solar absorbers

    Creator:
    Pelatt, Brian D.
    Abstract:
    The atomic solid state energy (SSE) scale is introduced as a tool for inorganic materials design. The SSE scale is obtained by assessing an average electron affinity (EA) (for a cation) or an average ionization potential (IP) (for an anion) for each atom using data from compounds having that specific...
    Resource Type:
    Dissertation
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    the square root of a) the solid state energy (SSE) and b) the Mulliken electronegativity

  • Advanced microarchitecture and circuit design techniques for on-chip memories in CMOS technology

    Creator:
    Hsu, Steven K.
    Abstract:
    In modern on-chip memories, an increasing demand for higher performance, lower power, reduced area, and improved robustness creates a rising need for advanced microarchitecture and circuit design techniques. Particularly in large-signal multi-ported register files, these advanced design techniques include: (i) multi-banked arrays, (ii) multi-frequency arrays, (iii) multi-bit width gating, (iv)...
    Resource Type:
    Dissertation
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    _____________________________________________________________________ Director of the School of Electrical Engineering and Computer Science

  • Wirelessly Powered cm-Scale Sensor for Small Insect Localization Application

    Creator:
    Kang, Jian
    Abstract:
    The prevalence of Internet-of-Things (IoT) applications leads to an increasing focus on the design and optimization of sensor nodes. Battery lifetime and associated costs of battery replacement often limits the long term operation and viability of sensor nodes. RF wireless energy harvesting on the other hand can be appealing since...
    Resource Type:
    Dissertation
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    Electrical Engineering and Computer Science Dean of the Graduate School I understand that my dissertation

  • Random dopants and low-frequency noise reduction in deep-submicron MOSFET technology

    Creator:
    Miller, Drake A.
    Abstract:
    The future of mixed-signal, memory, and microprocessor technologies are dependent on ever increasing analog and digital integration, higher cell densities, and demand for more processing power. As a result MOSFET device dimensions continue to shrink to meet these demands. A side effect of device scaling is increased variability at each...
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    Dissertation
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    _____________________________________________________________________ Director of the School of Electrical Engineering and Computer Science

  • Variational Typing and Its Applications

    Creator:
    Chen, Sheng
    Abstract:
    The study of variational typing originated from the problem of type inference for variational programs, which encode numerous different but related plain programs. In this dissertation, I present a sound and complete type inference algorithm for inferring types of all plain programs encoded in variational programs. The proposed algorithm runs...
    Resource Type:
    Dissertation
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    School of Electrical Engineering and Computer Science Dean of the Graduate School I understand that

  • Design techniques for high-performance digital PLLs and CDRs

    Creator:
    Yin, Wenjing
    Abstract:
    Phase-Locked Loops (PLLs) are essential building blocks in many communication systems. Designing high performance analog PLLs in the presence of technology imposed constraints such as leakage, poor analog transistor behavior, process variability, and low supply voltage is a challenging task. To overcome these drawbacks, digital PLLs (DPLLs) have recently emerged...
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    Dissertation
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    and Computer Engineering Director of the School of Electrical Engineering and Computer Science Dean

  • Enabling metal-fill-aware design of integrated circuits

    Creator:
    Shilimkar, Vikas S.
    Abstract:
    In advanced integrated circuit (IC) processes, the metal fill inserted to meet foundry imposed density requirements degrades the performance of interconnects and passive components which ultimately affects the overall circuit performance. Accounting for this degradation through electromagnetic and equivalent circuit modeling is becoming a critical aspect of IC design. However,...
    Resource Type:
    Dissertation
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    Director of the School of Electrical Engineering and Computer Science Dean of the Graduate School I

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
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    Professor, representing Computer Science Director of the School of Electrical Engineering and

  • Measurement and analysis of soft error vulnerability of low-voltage logic and memory circuits

    Creator:
    Pawlowski, Robert
    Abstract:
    Scaling the supply voltage into the sub/near-threshold domain is one of the most effective methods for improving the energy efficiency of next-generation electronic microsystems. Unfortunately, the relationship between low-voltage operation and radiation-induced soft error rate is not widely known, as little research has been previously performed and reported for soft-error...
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    Dissertation
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    Measurement and Analysis of Soft Error Vulnerability of Low

  • Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

    Creator:
    Piorkowski, David
    Abstract:
    Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
    Resource Type:
    Dissertation
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    Director of the School of Electrical Engineering and Computer Science Dean of the Graduate