Matching Items (16)
Description
The goal of this research work is to develop a particle-based device simulator for modeling strained silicon devices. Two separate modules had to be developed for that purpose: A generic bulk Monte Carlo simulation code which in the long-time limit solves the Boltzmann transport equation for electrons; and an extension to this code that solves for the bulk properties of strained silicon. One scattering table is needed for conventional silicon, whereas, because of the strain breaking the symmetry of the system, three scattering tables are needed for modeling strained silicon material. Simulation results for the average drift velocity and the average electron energy are in close agreement with published data. A Monte Carlo device simulation tool has also been employed to integrate the effects of self-heating into device simulation for Silicon on Insulator devices. The effects of different types of materials for buried oxide layers have been studied. Sapphire, Aluminum Nitride (AlN), Silicon dioxide (SiO2) and Diamond have been used as target materials of interest in the analysis and the effects of varying insulator layer thickness have also been investigated. It was observed that although AlN exhibits the best isothermal behavior, diamond is the best choice when thermal effects are accounted for.
ContributorsQazi, Suleman (Author) / Vasileska, Dragica (Thesis advisor) / Goodnick, Stephen (Committee member) / Tao, Meng (Committee member) / Arizona State University (Publisher)
Created2013
Description
Mitochondria are crucial intracellular organelles which play a pivotal role in providing energy to living organisms in the form of adenosine triphosphate (ATP). The mitochondrial electron transport chain (ETC) coupled with oxidative phosphorylation (OX-PHOS) transforms the chemical energy of amino acids, fatty acids and sugars to ATP. The mitochondrial electron transport system consumes nearly 90% of the oxygen used by the cell. Reactive oxygen species (ROS) in the form of superoxide anions (O2*-) are generated as byproduct of cellular metabolism due to leakage of electrons from complex I and complex III to oxygen. Under normal conditions, the effects of ROS are offset by a variety of antioxidants (enzymatic and non-enzymatic).
Mitochondrial dysfunction has been proposed in the etiology of various pathologies, including cardiovascular and neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, ischemia-reperfusion (IR) injury, diabetes and aging. To treat these disorders, it is imperative to target mitochondria, especially the electron transport chain. One of the methodologies currently used for the treatment of mitochondrial and neurodegenerative diseases where endogenous antioxidant defenses are inadequate for protecting against ROS involves the administration of exogenous antioxidants.
As part of our pursuit of effective neuroprotective drugs, a series of pyridinol and pyrimidinol analogues have been rationally designed and synthesized. All the analogues were evaluated for their ability to quench lipid peroxidation and reactive oxygen species (ROS), and preserve mitochondrial membrane potential (Δm) and support ATP synthesis. These studies are summarized in Chapter 2.
Drug discovery and lead identification can be reinforced by assessing the metabolic fate of orally administered drugs using simple microsomal incubation experiments. Accordingly, in vitro microsomal studies were designed and carried out using bovine liver microsomes to screen available pyridinol and pyrimidinol analogues for their metabolic lability. The data obtained was utilized for an initial assessment of potential bioavailability of the compounds screened and is summarized fully in Chapter 3.
Mitochondrial dysfunction has been proposed in the etiology of various pathologies, including cardiovascular and neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, ischemia-reperfusion (IR) injury, diabetes and aging. To treat these disorders, it is imperative to target mitochondria, especially the electron transport chain. One of the methodologies currently used for the treatment of mitochondrial and neurodegenerative diseases where endogenous antioxidant defenses are inadequate for protecting against ROS involves the administration of exogenous antioxidants.
As part of our pursuit of effective neuroprotective drugs, a series of pyridinol and pyrimidinol analogues have been rationally designed and synthesized. All the analogues were evaluated for their ability to quench lipid peroxidation and reactive oxygen species (ROS), and preserve mitochondrial membrane potential (Δm) and support ATP synthesis. These studies are summarized in Chapter 2.
Drug discovery and lead identification can be reinforced by assessing the metabolic fate of orally administered drugs using simple microsomal incubation experiments. Accordingly, in vitro microsomal studies were designed and carried out using bovine liver microsomes to screen available pyridinol and pyrimidinol analogues for their metabolic lability. The data obtained was utilized for an initial assessment of potential bioavailability of the compounds screened and is summarized fully in Chapter 3.
ContributorsAlam, Mohammad Parvez (Author) / Hecht, Sidney M. (Thesis advisor) / Gould, Ian R (Committee member) / Moore, Ana (Committee member) / Arizona State University (Publisher)
Created2014
Description
Semiconductor nanowires are featured by their unique one-dimensional structure which makes them promising for small scale electronic and photonic device applications. Among them, III-V material nanowires are particularly outstanding due to their good electronic properties. In bulk, these materials reveal electron mobility much higher than conventional silicon based devices, for example at room temperature, InAs field effect transistor (FET) has electron mobility of 40,000 cm2/Vs more than 10 times of Si FET. This makes such materials promising for high speed nanowire FETs. With small bandgap, such as 0.354 eV for InAs and 1.52 eV for GaAs, it does not need high voltage to turn on such devices which leads to low power consumption devices. Another feature of direct bandgap allows their applications of optoelectronic devices such as avalanche photodiodes. However, there are challenges to face up. Due to their large surface to volume ratio, nanowire devices typically are strongly affected by the surface states. Although nanowires can be grown into single crystal structure, people observe crystal defects along the wires which can significantly affect the performance of devices. In this work, FETs made of two types of III-V nanowire, GaAs and InAs, are demonstrated. These nanowires are grown by catalyst-free MOCVD growth method. Vertically nanowires are transferred onto patterned substrates for coordinate calibration. Then electrodes are defined by e-beam lithography followed by deposition of contact metals. Prior to metal deposition, however, the substrates are dipped in ammonium hydroxide solution to remove native oxide layer formed on nanowire surface. Current vs. source-drain voltage with different gate bias are measured at room temperature. GaAs nanowire FETs show photo response while InAs nanowire FETs do not show that. Surface passivation is performed on GaAs FETs by using ammonium surfide solution. The best results on current increase is observed with around 20-30 minutes chemical treatment time. Gate response measurements are performed at room temperature, from which field effect mobility as high as 1490 cm2/Vs is extracted for InAs FETs. One major contributor for this is stacking faults defect existing along nanowires. For InAs FETs, thermal excitations observed from temperature dependent results which leads us to investigate potential barriers.
ContributorsLiang, Hanshuang (Author) / Yu, Hongbin (Thesis advisor) / Ferry, David (Committee member) / Tracy, Clarence (Committee member) / Arizona State University (Publisher)
Created2011
Description
Studying charge transport through single molecules tethered between two metal electrodes is of fundamental importance in molecular electronics. Over the years, a variety of methods have been developed in attempts of performing such measurements. However, the limitation of these techniques is still one of the factors that prohibit one from gaining a thorough understanding of single molecule junctions. Firstly, the time resolution of experiments is typically limited to milli to microseconds, while molecular dynamics simulations are carried out on the time scale of pico to nanoseconds. A huge gap therefore persists between the theory and the experiments. This thesis demonstrates a nanosecond scale measurement of the gold atomic contact breakdown process. A combined setup of DC and AC circuits is employed, where the AC circuit reveals interesting observations in nanosecond scale not previously seen using conventional DC circuits. The breakdown time of gold atomic contacts is determined to be faster than 0.1 ns and subtle atomic events are observed within nanoseconds. Furthermore, a new method based on the scanning tunneling microscope break junction (STM-BJ) technique is developed to rapidly record thousands of I-V curves from repeatedly formed single molecule junctions. 2-dimensional I-V and conductance-voltage (G-V) histograms constructed using the acquired data allow for more meaningful statistical analysis to single molecule I-V characteristics. The bias voltage adds an additional dimension to the conventional single molecule conductance measurement. This method also allows one to perform transition voltage spectra (TVS) for individual junctions and to study the correlation between the conductance and the tunneling barrier height. The variation of measured conductance values is found to be primarily determined by the poorly defined contact geometry between the molecule and metal electrodes, rather than the tunnel barrier height. In addition, the rapid I-V technique is also found useful in studying thermoelectric effect in single molecule junctions. When applying a temperature gradient between the STM tip and substrate in air, the offset current at zero bias in the I-V characteristics is a measure of thermoelectric current. The rapid I-V technique allows for statistical analysis of such offset current at different temperature gradients and thus the Seebeck coefficient of single molecule junctions is measured. Combining with single molecule TVS, the Seebeck coefficient is also found to be a measure of tunnel barrier height.
ContributorsGuo, Shaoyin (Author) / Tao, Nongjian (Thesis advisor) / Bennett, Peter (Committee member) / Ning, Cun-Zheng (Committee member) / Yu, Hongbin (Committee member) / Arizona State University (Publisher)
Created2012
Description
ABSTRACT An Ensemble Monte Carlo (EMC) computer code has been developed to simulate, semi-classically, spin-dependent electron transport in quasi two-dimensional (2D) III-V semiconductors. The code accounts for both three-dimensional (3D) and quasi-2D transport, utilizing either 3D or 2D scattering mechanisms, as appropriate. Phonon, alloy, interface roughness, and impurity scattering mechanisms are included, accounting for the Pauli Exclusion Principle via a rejection algorithm. The 2D carrier states are calculated via a self-consistent 1D Schrödinger-3D-Poisson solution in which the charge distribution of the 2D carriers in the quantization direction is taken as the spatial distribution of the squared envelope functions within the Hartree approximation. The wavefunctions, subband energies, and 2D scattering rates are updated periodically by solving a series of 1D Schrödinger wave equations (SWE) over the real-space domain of the device at fixed time intervals. The electrostatic potential is updated by periodically solving the 3D Poisson equation. Spin-polarized transport is modeled via a spin density-matrix formalism that accounts for D'yakanov-Perel (DP) scattering. Also, the code allows for the easy inclusion of additional scattering mechanisms and structural modifications to devices. As an application of the simulator, the current voltage characteristics of an InGaAs/InAlAs HEMT are simulated, corresponding to nanoscale III-V HEMTs currently being fabricated by Intel Corporation. The comparative effects of various scattering parameters, material properties and structural attributes are investigated and compared with experiments where reasonable agreement is obtained. The spatial evolution of spin-polarized carriers in prototypical Spin Field Effect Transistor (SpinFET) devices is then simulated. Studies of the spin coherence times in quasi-2D structures is first investigated and compared to experimental results. It is found that the simulated spin coherence times for GaAs structures are in reasonable agreement with experiment. The SpinFET structure studied is a scaled-down version of the InGaAs/InAlAs HEMT discussed in this work, in which spin-polarized carriers are injected at the source, and the coherence length is studied as a function of gate voltage via the Rashba effect.
ContributorsTierney, Brian David (Author) / Goodnick, Stephen (Thesis advisor) / Ferry, David (Committee member) / Akis, Richard (Committee member) / Saraniti, Marco (Committee member) / Vasileska, Dragica (Committee member) / Arizona State University (Publisher)
Created2011
Description
Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements. The method is implemented by incorporating compressive sensing approach that enables an accurate reconstruction of complex dynamical systems in terms of both nodal equations that determines the self-dynamics of units and detailed coupling patterns among units. The representative advantages of the approach are (i) the sparse data requirement which allows for a successful reconstruction from limited measurements, and (ii) general applicability to identical and nonidentical nodal dynamics, and to networks with arbitrary interacting structure, strength and sizes. Another two challenging problem of significant interest in nonlinear dynamics: (i) predicting catastrophes in nonlinear dynamical systems in advance of their occurrences and (ii) predicting the future state for time-varying nonlinear dynamical systems, can be formulated and solved in the framework of compressive sensing using only limited measurements. Once the network structure can be inferred, the dynamics behavior on them can be investigated, for example optimize information spreading dynamics, suppress cascading dynamics and traffic congestion, enhance synchronization, game dynamics, etc. The results can yield insights to control strategies design in the real-world social and natural systems. Since 2004, there has been a tremendous amount of interest in graphene. The most amazing feature of graphene is that there exists linear energy-momentum relationship when energy is low. The quasi-particles inside the system can be treated as chiral, massless Dirac fermions obeying relativistic quantum mechanics. Therefore, the graphene provides one perfect test bed to investigate relativistic quantum phenomena, such as relativistic quantum chaotic scattering and abnormal electron paths induced by klein tunneling. This phenomenon has profound implications to the development of graphene based devices that require stable electronic properties.
ContributorsYang, Rui (Author) / Lai, Ying-Cheng (Thesis advisor) / Duman, Tolga M. (Committee member) / Akis, Richard (Committee member) / Huang, Liang (Committee member) / Arizona State University (Publisher)
Created2012
Description
Biological systems have long been known to utilize two processes for energy conservation: substrate-level phosphorylation and electron transport phosphorylation. Recently, a new bioenergetic process was discovered that increases ATP yields: flavin-based electron bifurcation (FBEB). This process couples an energetically favorable reaction with an energetically unfavorable one to conserve energy in the organism. Currently, the mechanisms of enzymes that perform FBEB are unknown. In this work, NADH-dependent reduced ferredoxin:NADP+ oxidoreductase (Nfn), a FBEB enzyme, is used as a model system to study this phenomenon. Nfn is a heterodimeric enzyme that reversibly couples the exergonic reduction of NADP+ by reduced ferredoxin with the endergonic reduction of NADP+ by NADH. Protein film electrochemistry (PFE) has been utilized to characterize the catalytic properties of three ferredoxins, possible substrates for Nfn enzymes, from organisms that perform FBEB: Pyrococcus furiosus (PfFd), Thermotoga maritima (TmFd), and Caldicellulosiruptor bescii (CbFd). Additionally, PFE is utilized to characterize three Nfn enzymes from two different archaea in the family Thermococcaceae: two from P. furiosus (PfNfnI and PfXfn), and one from Thermococcus sibiricus (TsNfnABC). Key results are as follows. The reduction potentials of the [4Fe4S]2+/1+ couple for all three ferredoxins are pH independent and modestly temperature dependent, and the Marcus reorganization energies of PfFd and TmFd are relatively small, suggesting optimized electron transfer. Electrocatalytic experiments show that PfNfnI is tuned for NADP+ reduction by both fast rates and a low binding constant for NADP+. A PfNfnI variant engineered to have only cysteines as coordinating ligands for its [FeS] clusters has significantly altered rates of electrocatalysis, substrate binding, and FBEB activity. This suggests that the heteroligands in the primary coordination sphere of the [FeS] clusters play a role in controlling catalysis by Nfn. Furthermore, a variant of PfNfnI lacking its small subunit, designed to probe allosteric effects at the bifurcating site, has altered substrate binding at the NADP(H) binding site, i.e. the bifurcation site. PfXfn and TsNfnABC, representing different types of Nfn enzymes, have different electrocatalytic properties than PfNfnI, including slower rates of FBEB. This suggests that Nfn enzymes vary significantly over phylogenetically similar organisms despite relatively high primary sequence homology.
ContributorsJennings, David Peter (Author) / Jones, Anne K (Thesis advisor) / Redding, Kevin E (Committee member) / Torres, César I (Committee member) / Arizona State University (Publisher)
Created2018
Description
Mitochondria produce the majority portion of ATP required in eukaryotic cells. ATP is generated through a process known as oxidative phosphorylation, through an pathway consisting five multi subunit proteins (complex I-IV and ATP synthase), embedded inside the mitochondrial membrane. Mitochondrial electron transport chain dysfunction increases reactive oxygen species in the cell and causes several serious disorders. Described herein are the synthesis of antioxidant molecules to reduce the effects in an already dysfunctional system. Also described is the study of the mitochondrial electron transport chain to understand the mechanism of action of a library of antioxidants. Illustrated in chapter 1 is the general history of research on mitochondrial dysfunction and reported ways to ameliorate them. Chapter 2 describes the design and synthesis of a series of compounds closely resembling the redox-active quinone core of the natural product geldanamycin. Geldanamycin has been reported to confer cytoprotection to FRDA lymphocytes in a dose dependent manner under conditions of induced oxidative stress. A library of rationally designed derivatives has been synthesized as a part of our pursuit of a better neuroprotective drug. Chapter 3 describes the design and synthesis of a library of pyrimidinol analogues. Compounds of this type have demonstrated the ability to quench reactive oxygen species and sustain mitochondrial membrane potential. Described herein are our efforts to increase their metabolic stability and total ATP production. It is crucial to understand the nature of interaction between a potential drug molecule and the mitochondrial electron transport chain to enable the design and synthesis a better therapeutic candidates. Chapter 4 describes a part of the enzymatic
binding studies between a molecular library synthesized in our laboratory and the mitochondrial electron transport chain using sub mitochondrial particles (SMP).
binding studies between a molecular library synthesized in our laboratory and the mitochondrial electron transport chain using sub mitochondrial particles (SMP).
ContributorsDey, Sriloy (Author) / Hecht, Sidney M. (Thesis advisor) / Angell, Charles A (Committee member) / Gould, Ian (Committee member) / Arizona State University (Publisher)
Created2015
Description
The finite supply of current energy production materials has created opportunities for the investigation of alternative energy sources in many fields. One example is the use of microorganisms in bioenergy applications, such as microbial fuel cells. Present in many types of environments, microorganisms with the ability to respire solid electron acceptors have become of increasing relevance to alternative energy and wastewater treatment research. In this dissertation, several aspects of anode respiration are investigated, with the goal of increasing the limited understanding of the mechanisms of electron transport through the use of advanced electrochemical methods. Biofilms of Geobacter sulfurreducens, the model anode respiring organism, as well as its alkaliphilic relative, Geoalkalibacter ferrihydriticus, were investigated using chronoamperometry, electrochemical impedance spectroscopy, and cyclic voltammetry.
In G. sulfurreducens, two distinct pathways of electron transport were observed through the application of advanced electrochemical techniques on anode biofilms in microbial electrochemical cells. These pathways were found to be preferentially expressed, based on the poised anode potential (redox potential) of the electrode. In Glk. ferrihydriticus, four pathways for electron transport were found, showing an even greater diversity in electron transport pathway utilization as compared to G. sulfurreducens. These observations provide insights into the diversity of electron transport pathways present in anode-respiring bacteria and introduce the necessity of further characterization for pathway identification.
Essential to science today, communication of pressing scientific issues to the lay audience may present certain difficulties. This can be seen especially with the topics that are considered socio-scientific issues, those considered controversial in society but not for scientists. This dissertation explores the presentation of alternative and renewable energy technologies and climate change in undergraduate education. In introductory-level Biology, Chemistry, and Physics textbooks, the content and terminology presented were analyzed for individual textbooks and used to evaluate discipline-based trends. Additional extensions were made between teaching climate change with the active learning technique of citizen science using past research gains from studies of evolution. These observations reveal patterns in textbook content for energy technologies and climate change, as well as exploring new aspects of teaching techniques.
In G. sulfurreducens, two distinct pathways of electron transport were observed through the application of advanced electrochemical techniques on anode biofilms in microbial electrochemical cells. These pathways were found to be preferentially expressed, based on the poised anode potential (redox potential) of the electrode. In Glk. ferrihydriticus, four pathways for electron transport were found, showing an even greater diversity in electron transport pathway utilization as compared to G. sulfurreducens. These observations provide insights into the diversity of electron transport pathways present in anode-respiring bacteria and introduce the necessity of further characterization for pathway identification.
Essential to science today, communication of pressing scientific issues to the lay audience may present certain difficulties. This can be seen especially with the topics that are considered socio-scientific issues, those considered controversial in society but not for scientists. This dissertation explores the presentation of alternative and renewable energy technologies and climate change in undergraduate education. In introductory-level Biology, Chemistry, and Physics textbooks, the content and terminology presented were analyzed for individual textbooks and used to evaluate discipline-based trends. Additional extensions were made between teaching climate change with the active learning technique of citizen science using past research gains from studies of evolution. These observations reveal patterns in textbook content for energy technologies and climate change, as well as exploring new aspects of teaching techniques.
ContributorsYoho, Rachel Ann (Author) / Torres, César I (Thesis advisor) / Rittmann, Bruce E. (Committee member) / Popat, Sudeep C (Committee member) / Vanmali, Binaben H (Committee member) / Arizona State University (Publisher)
Created2016
Description
Richard Feynman said “There’s plenty of room at the bottom”. This inspired the techniques to improve the single molecule measurements. Since the first single molecule study was in 1961, it has been developed in various field and evolved into powerful tools to understand chemical and biological property of molecules. This thesis demonstrates electronic single molecule measurement with Scanning Tunneling Microscopy (STM) and two of applications of STM; Break Junction (BJ) and Recognition Tunneling (RT). First, the two series of carotenoid molecules with four different substituents were investigated to show how substituents relate to the conductance and molecular structure. The measured conductance by STM-BJ shows that Nitrogen induces molecular twist of phenyl distal substituents and conductivity increasing rather than Carbon. Also, the conductivity is adjustable by replacing the sort of residues at phenyl substituents. Next, amino acids and peptides were identified through STM-RT. The distribution of the intuitive features (such as amplitude or width) are mostly overlapped and gives only a little bit higher separation probability than random separation. By generating some features in frequency and cepstrum domain, the classification accuracy was dramatically increased. Because of large data size and many features, supporting vector machine (machine learning algorithm for big data) was used to identify the analyte from a data pool of all analytes RT data. The STM-RT opens a possibility of molecular sequencing in single molecule level. Similarly, carbohydrates were studied by STM-RT. Carbohydrates are difficult to read the sequence, due to their huge number of possible isomeric configurations. This study shows that STM-RT can identify not only isomers of mono-saccharides and disaccharides, but also various mono-saccharides from a data pool of eleven analytes. In addition, the binding affinity between recognition molecule and analyte was investigated by comparing with surface plasmon resonance. In present, the RT technique is applying to chip type sequencing device onto solid-state nanopore to read out glycosaminoglycans which is ubiquitous to all mammalian cells and controls biological activities.
ContributorsIm, Jong One (Author) / Lindsay, Stuart M (Thesis advisor) / Zhang, Peiming (Committee member) / Ros, Robert (Committee member) / Chamberlin, Ralph (Committee member) / Arizona State University (Publisher)
Created2016