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An Exploration of Perovskite Materials for Thermochemical Water Splitting
Get PDFTwo-step thermochemical water splitting is a promising technology for the hydrogen production of solar energy. This process possesses the advantages of utilizing the full solar spectrum, producing flexible fuels, and requiring no precious metal catalysts. It furthermore temporally separates the oxygen release and hydrogen production steps, eliminating the possibility of O2 and H2 recombination. Ceria, which undergoes non-stoichiometric changes in oxygen content, has been demonstrated as an effective material for solar-driven thermochemical fuel production, but the process requires extremely high temperatures (~ 1600 degrees C), leading to efficiency penalties and challenges in reactor design and construction. Accordingly, the objective of this work is the development of new thermochemical reaction substrate materials which enable operation at lower temperatures and ideally increase fuel productivity and efficiency. Here we explore perovskite systems, specifically La1-xSrxMnO3-δ, La0.8Sr0.2Mn1-yFeyO3-δ, and La0.8Sr0.2Mn1-yAlyO3-δ. The link between the solid-state chemistry, redox properties, hydrogen production, and reaction kinetic limitations will be discussed. This study aims to learn how to design and tailor the good catalytic oxides for solar-driven thermochemical water splitting application
Dynamics and Heterogeneity of Gene Expression and Epigenetic Regulation at the Single-Cell Level
Get PDFThe ability of cells to establish and remember their gene expression states is a cornerstone of multicellular life. This thesis explores how gene expression states are regulated dynamically, and how these regulations differ in individual cells even under the same conditions. These properties underlie cellular state decisions and often determine the balance between different cell types in a multicellular system, but are typically inaccessible to conventional techniques that rely on static snapshots and population averaging. We address these issues in two separate contexts, one natural and one synthetic, using time-lapse imaging and other single-cell techniques.
In the first context, we use embryonic stem cells (ES), which were shown to exist in a mixed population of at least two cellular states with distinct differentiation propensities, as a model to study natural dynamics of cellular states. These cells display rare, stochastic, and spontaneous transitions between the two states, as well as more frequent fluctuations in gene expression levels within each state. Our system enables us to further investigate how these dynamics are modulated under a cell signaling environment that enhances pluripotency, and the role DNA methylation plays in maintaining these states.
In the second context, we investigate how chromatin regulators (CRs), part of a complex system that enables cells to modulate gene expression and epigenetic memory, operate dynamically in individual cells. We build a synthetic platform to measure the isolated effect of recruitment and de-recruitment of four individual CRs. In contrast to conventional transcription factor control, all CRs tested regulate gene expression in all-or-none events, controlling the probability of stochastic transitions between fully active and silent states rather than the strength of gene expression. The qualitative and quantitative responses of a cell population are determined by the set of event rates associated with each CR, as well as the duration of CR recruitment. These results provide a framework for understanding and engineering chromatin-based cellular states and their dynamics.
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Mechanistic Dissection of the Cop9 Signalosome’s Deneddylation Activity on Cullin-RING Ligases
Get PDFWe set out to understand the precise mechanisms that regulate the activation and deactivation of Cullin-RING Ligases (CRLs). While a great deal of work has already gone into identifying the players involved in these pathways and the cellular consequences associated with the loss of each, the biochemical mechanisms regulating these steps have remained elusive. In this work we sought to gain a better understanding of the mechanisms behind these steps by teasing apart specific their biochemical reactions. By measuring the individual microscopic rate constants of the reactions we have shed light on both the proper sequence of events in the regulation of CRLs as well as how they are in fact controlled.
Prior to this work, it was believed that CSN deactivated CRLs by binding them and enzymatically removing the activating post-translation modification Nedd8. It was believed that CSN could not bind to CRLs while they were active due to the steric hindrance by the CRL substrates, and that they would remain bound to deneddylated CRLs as a sequestering agent until a new substrate could displace it. We now have some insight that substrates themselves cannot inhibit CSN very well, but that the active ubiquitination by an E2 enzyme precludes CSN binding and activity. When the substrate for a CRL becomes depleted, CSN then binds to the CRL in a low affinity, low activity conformation. This triggers a conformational change that pulls the autoinhibitory Ins-1 loop away from the active site in the catalytic subunit Csn5, resulting in a large increase in affinity and cleavage of the isopeptide bond between CRLs and Nedd8. Upon dissociation of Nedd8, CSN rapidly returns to the low affinity state and dissociates from the CRL, allowing it reenter its activation cycle.</p
Experimental Investigation of Thrust Fault Rupture Mechanics
Get PDFThrust fault earthquakes are investigated in the laboratory by generating dynamic shear ruptures along pre-existing frictional faults in rectangular plates. A considerable body of evidence suggests that dip-slip earthquakes exhibit enhanced ground motions in the acute hanging wall wedge as an outcome of broken symmetry between hanging and foot wall plates with respect to the earth surface. To understand the physical behavior of thrust fault earthquakes, particularly ground motions near the earth surface, ruptures are nucleated in analog laboratory experiments and guided up-dip towards the simulated earth surface. The transient slip event and emitted radiation mimic a natural thrust earthquake. High-speed photography and laser velocimeters capture the rupture evolution, outputting a full-field view of photo-elastic fringe contours proportional to maximum shearing stresses as well as continuous ground motion velocity records at discrete points on the specimen. Earth surface-normal measurements validate selective enhancement of hanging wall ground motions for both sub-Rayleigh and super-shear rupture speeds. The earth surface breaks upon rupture tip arrival to the fault trace, generating prominent Rayleigh surface waves. A rupture wave is sensed in the hanging wall but is, however, absent from the foot wall plate: a direct consequence of proximity from fault to seismometer. Signatures in earth surface-normal records attenuate with distance from the fault trace. Super-shear earthquakes feature greater amplitudes of ground shaking profiles, as expected from the increased tectonic pressures required to induce super-shear transition. Paired stations measure fault parallel and fault normal ground motions at various depths, which yield slip and opening rates through direct subtraction of like components. Peak fault slip and opening rates associated with the rupture tip increase with proximity to the fault trace, a result of selective ground motion amplification in the hanging wall. Fault opening rates indicate that the hanging and foot walls detach near the earth surface, a phenomenon promoted by a decrease in magnitude of far-field tectonic loads. Subsequent shutting of the fault sends an opening pulse back down-dip. In case of a sub-Rayleigh earthquake, feedback from the reflected S wave re-ruptures the locked fault at super-shear speeds, providing another mechanism of super-shear transition
Macroscopically Dissipative Systems with Underlying Microscopic Dynamics : Properties and Limits of Measurement
Get PDFWhile some of the deepest results in nature are those that give explicit bounds between important physical quantities, some of the most intriguing and celebrated of such bounds come from fields where there is still a great deal of disagreement and confusion regarding even the most fundamental aspects of the theories. For example, in quantum mechanics, there is still no complete consensus as to whether the limitations associated with Heisenberg's Uncertainty Principle derive from an inherent randomness in physics, or rather from limitations in the measurement process itself, resulting from phenomena like back action. Likewise, the second law of thermodynamics makes a statement regarding the increase in entropy of closed systems, yet the theory itself has neither a universally-accepted definition of equilibrium, nor an adequate explanation of how a system with underlying microscopically Hamiltonian dynamics (reversible) settles into a fixed distribution.
Motivated by these physical theories, and perhaps their inconsistencies, in this thesis we use dynamical systems theory to investigate how the very simplest of systems, even with no physical constraints, are characterized by bounds that give limits to the ability to make measurements on them. Using an existing interpretation, we start by examining how dissipative systems can be viewed as high-dimensional lossless systems, and how taking this view necessarily implies the existence of a noise process that results from the uncertainty in the initial system state. This fluctuation-dissipation result plays a central role in a measurement model that we examine, in particular describing how noise is inevitably injected into a system during a measurement, noise that can be viewed as originating either from the randomness of the many degrees of freedom of the measurement device, or of the environment. This noise constitutes one component of measurement back action, and ultimately imposes limits on measurement uncertainty. Depending on the assumptions we make about active devices, and their limitations, this back action can be offset to varying degrees via control. It turns out that using active devices to reduce measurement back action leads to estimation problems that have non-zero uncertainty lower bounds, the most interesting of which arise when the observed system is lossless. One such lower bound, a main contribution of this work, can be viewed as a classical version of a Heisenberg uncertainty relation between the system's position and momentum. We finally also revisit the murky question of how macroscopic dissipation appears from lossless dynamics, and propose alternative approaches for framing the question using existing systematic methods of model reduction.</p
Self-Healing Techniques for RF and mm-Wave Transmitters and Receivers
Get PDFWith continuing advances in CMOS technology, feature sizes of modern Silicon chip-sets have gone down drastically over the past decade. In addition to desktops and laptop processors, a vast majority of these chips are also being deployed in mobile communication devices like smart-phones and tablets, where multiple radio-frequency integrated circuits (RFICs) must be integrated into one device to cater to a wide variety of applications such as Wi-Fi, Bluetooth, NFC, wireless charging, etc. While a small feature size enables higher integration levels leading to billions of transistors co-existing on a single chip, it also makes these Silicon ICs more susceptible to variations. A part of these variations can be attributed to the manufacturing process itself, particularly due to the stringent dimensional tolerances associated with the lithographic steps in modern processes. Additionally, RF or millimeter-wave communication chip-sets are subject to another type of variation caused by dynamic changes in the operating environment. Another bottleneck in the development of high performance RF/mm-wave Silicon ICs is the lack of accurate analog/high-frequency models in nanometer CMOS processes. This can be primarily attributed to the fact that most cutting edge processes are geared towards digital system implementation and as such there is little model-to-hardware correlation at RF frequencies.
All these issues have significantly degraded yield of high performance mm-wave and RF CMOS systems which often require multiple trial-and-error based Silicon validations, thereby incurring additional production costs. This dissertation proposes a low overhead technique which attempts to counter the detrimental effects of these variations, thereby improving both performance and yield of chips post fabrication in a systematic way. The key idea behind this approach is to dynamically sense the performance of the system, identify when a problem has occurred, and then actuate it back to its desired performance level through an intelligent on-chip optimization algorithm. We term this technique as self-healing drawing inspiration from nature's own way of healing the body against adverse environmental effects. To effectively demonstrate the efficacy of self-healing in CMOS systems, several representative examples are designed, fabricated, and measured against a variety of operating conditions.
We demonstrate a high-power mm-wave segmented power mixer array based transmitter architecture that is capable of generating high-speed and non-constant envelope modulations at higher efficiencies compared to existing conventional designs. We then incorporate several sensors and actuators into the design and demonstrate closed-loop healing against a wide variety of non-ideal operating conditions. We also demonstrate fully-integrated self-healing in the context of another mm-wave power amplifier, where measurements were performed across several chips, showing significant improvements in performance as well as reduced variability in the presence of process variations and load impedance mismatch, as well as catastrophic transistor failure. Finally, on the receiver side, a closed-loop self-healing phase synthesis scheme is demonstrated in conjunction with a wide-band voltage controlled oscillator to generate phase shifter local oscillator (LO) signals for a phased array receiver. The system is shown to heal against non-idealities in the LO signal generation and distribution, significantly reducing phase errors across a wide range of frequencies.</p
Methods for Melting Temperature Calculation
Get PDFMelting temperature calculation has important applications in the theoretical study of phase diagrams and computational materials screenings. In this thesis, we present two new methods, i.e., the improved Widom's particle insertion method and the small-cell coexistence method, which we developed in order to capture melting temperatures both accurately and quickly.
We propose a scheme that drastically improves the efficiency of Widom's particle insertion method by efficiently sampling cavities while calculating the integrals providing the chemical potentials of a physical system. This idea enables us to calculate chemical potentials of liquids directly from first-principles without the help of any reference system, which is necessary in the commonly used thermodynamic integration method. As an example, we apply our scheme, combined with the density functional formalism, to the calculation of the chemical potential of liquid copper. The calculated chemical potential is further used to locate the melting temperature. The calculated results closely agree with experiments.
We propose the small-cell coexistence method based on the statistical analysis of small-size coexistence MD simulations. It eliminates the risk of a metastable superheated solid in the fast-heating method, while also significantly reducing the computer cost relative to the traditional large-scale coexistence method. Using empirical potentials, we validate the method and systematically study the finite-size effect on the calculated melting points. The method converges to the exact result in the limit of a large system size. An accuracy within 100 K in melting temperature is usually achieved when the simulation contains more than 100 atoms. DFT examples of Tantalum, high-pressure Sodium, and ionic material NaCl are shown to demonstrate the accuracy and flexibility of the method in its practical applications. The method serves as a promising approach for large-scale automated material screening in which the melting temperature is a design criterion.
We present in detail two examples of refractory materials. First, we demonstrate how key material properties that provide guidance in the design of refractory materials can be accurately determined via ab initio thermodynamic calculations in conjunction with experimental techniques based on synchrotron X-ray diffraction and thermal analysis under laser-heated aerodynamic levitation. The properties considered include melting point, heat of fusion, heat capacity, thermal expansion coefficients, thermal stability, and sublattice disordering, as illustrated in a motivating example of lanthanum zirconate (La2Zr2O7). The close agreement with experiment in the known but structurally complex compound La2Zr2O7 provides good indication that the computation methods described can be used within a computational screening framework to identify novel refractory materials. Second, we report an extensive investigation into the melting temperatures of the Hf-C and Hf-Ta-C systems using ab initio calculations. With melting points above 4000 K, hafnium carbide (HfC) and tantalum carbide (TaC) are among the most refractory binary compounds known to date. Their mixture, with a general formula TaxHf1-xCy, is known to have a melting point of 4215 K at the composition Ta4HfC5, which has long been considered as the highest melting temperature for any solid. Very few measurements of melting point in tantalum and hafnium carbides have been documented, because of the obvious experimental difficulties at extreme temperatures. The investigation lets us identify three major chemical factors that contribute to the high melting temperatures. Based on these three factors, we propose and explore a new class of materials, which, according to our ab initio calculations, may possess even higher melting temperatures than Ta-Hf-C. This example also demonstrates the feasibility of materials screening and discovery via ab initio calculations for the optimization of "higher-level" properties whose determination requires extensive sampling of atomic configuration space.</p
Wide Field-of-View Microscopes and Endoscopes for Time-Lapse Imaging and High-Throughput Screening
Get PDFWide field-of-view (FOV) microscopy is of high importance to biological research and clinical diagnosis where a high-throughput screening of samples is needed. This thesis presents the development of several novel wide FOV imaging technologies and demonstrates their capabilities in longitudinal imaging of living organisms, on the scale of viral plaques to live cells and tissues.
The ePetri Dish is a wide FOV on-chip bright-field microscope. Here we applied an ePetri platform for plaque analysis of murine norovirus 1 (MNV-1). The ePetri offers the ability to dynamically track plaques at the individual cell death event level over a wide FOV of 6 mm × 4 mm at 30 min intervals. A density-based clustering algorithm is used to analyze the spatial-temporal distribution of cell death events to identify plaques at their earliest stages. We also demonstrate the capabilities of the ePetri in viral titer count and dynamically monitoring plaque formation, growth, and the influence of antiviral drugs.
We developed another wide FOV imaging technique, the Talbot microscope, for the fluorescence imaging of live cells. The Talbot microscope takes advantage of the Talbot effect and can generate a focal spot array to scan the fluorescence samples directly on-chip. It has a resolution of 1.2 μm and a FOV of ~13 mm2. We further upgraded the Talbot microscope for the long-term time-lapse fluorescence imaging of live cell cultures, and analyzed the cells’ dynamic response to an anticancer drug.
We present two wide FOV endoscopes for tissue imaging, named the AnCam and the PanCam. The AnCam is based on the contact image sensor (CIS) technology, and can scan the whole anal canal within 10 seconds with a resolution of 89 μm, a maximum FOV of 100 mm × 120 mm, and a depth-of-field (DOF) of 0.65 mm. We also demonstrate the performance of the AnCam in whole anal canal imaging in both animal models and real patients. In addition to this, the PanCam is based on a smartphone platform integrated with a panoramic annular lens (PAL), and can capture a FOV of 18 mm × 120 mm in a single shot with a resolution of 100─140 μm. In this work we demonstrate the PanCam’s performance in imaging a stained tissue sample.</p
Exploring the Dynamic Radio Sky: The Search for Slow Transients with the VLA
Get PDFWhile synoptic surveys in the optical and at high energies have revealed a rich discovery phase space of slow transients, a similar yield is still awaited in the radio. Majority of the past blind surveys, carried out with radio interferometers, have suffered from a low yield of slow transients, ambiguous transient classifications, and contamination by false positives. The newly-refurbished Karl G. Jansky Array (Jansky VLA) offers wider bandwidths for accurate RFI excision as well as substantially-improved sensitivity and survey speed compared with the old VLA. The Jansky VLA thus eliminates the pitfalls of interferometric transient search by facilitating sensitive, wide-field, and near-real-time radio surveys and enabling a systematic exploration of the dynamic radio sky. This thesis aims at carrying out blind Jansky VLA surveys for characterizing the radio variable and transient sources at frequencies of a few GHz and on timescales between days and years. Through joint radio and optical surveys, the thesis addresses outstanding questions pertaining to the rates of slow radio transients (e.g. radio supernovae, tidal disruption events, binary neutron star mergers, stellar flares, etc.), the false-positive foreground relevant for the radio and optical counterpart searches of gravitational wave sources, and the beaming factor of gamma-ray bursts. The need for rapid processing of the Jansky VLA data and near-real-time radio transient search has enabled the development of state-of-the-art software infrastructure. This thesis has successfully demonstrated the Jansky VLA as a powerful transient search instrument, and it serves as a pathfinder for the transient surveys planned for the SKA-mid pathfinder facilities, viz. ASKAP, MeerKAT, and WSRT/Apertif
Rewriting Schemes for Flash Memory
Get PDFFlash memory is a leading storage media with excellent features such as random access and
high storage density. However, it also faces significant reliability and endurance challenges.
In flash memory, the charge level in the cells can be easily increased, but removing charge
requires an expensive erasure operation. In this thesis we study rewriting schemes that
enable the data stored in a set of cells to be rewritten by only increasing the charge level
in the cells. We consider two types of modulation scheme; a convectional modulation based
on the absolute levels of the cells, and a recently-proposed scheme based on the relative cell
levels, called rank modulation. The contributions of this thesis to the study of rewriting
schemes for rank modulation include the following: we
•propose a new method of rewriting in rank modulation, beyond the previously proposed
method of “push-to-the-top”;
•study the limits of rewriting with the newly proposed method, and derive a tight upper
bound of 1 bit per cell;
•extend the rank-modulation scheme to support rankings with repetitions, in order to
improve the storage density;
•derive a tight upper bound of 2 bits per cell for rewriting in rank modulation with
repetitions;
•construct an efficient rewriting scheme that asymptotically approaches the upper bound
of 2 bit per cell.
The next part of this thesis studies rewriting schemes for a conventional absolute-levels
modulation. The considered model is called “write-once memory” (WOM). We focus on
WOM schemes that achieve the capacity of the model. In recent years several capacity-achieving
WOM schemes were proposed, based on polar codes and randomness extractors.
The contributions of this thesis to the study of WOM scheme include the following: we
•propose a new capacity-achievingWOM scheme based on sparse-graph codes, and show
its attractive properties for practical implementation;
•improve the design of polarWOMschemes to remove the reliance on shared randomness
and include an error-correction capability.
The last part of the thesis studies the local rank-modulation (LRM) scheme, in which a
sliding window going over a sequence of real-valued variables induces a sequence of permutations.
The LRM scheme is used to simulate a single conventional multi-level flash cell.
The simulated cell is realized by a Gray code traversing all the relative-value states where,
physically, the transition between two adjacent states in the Gray code is achieved by using
a single “push-to-the-top” operation. The main results of the last part of the thesis are two
constructions of Gray codes with asymptotically-optimal rate.</p