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Articles 301 - 330 of 759

Full-Text Articles in Chemical Engineering

Goggatomy: A Method For Opening Small Cuticular Compartments In Arthropods For Physiological Experiments, Alan R. Kay, Davide Raccuglia, Jon Scholte, Elene Sivan-Loukianova, Chirstopher A. Barwacz, Steven R. Armstrong, C. Allan Guymon, Michael N. Nitabach, Daniel F. Eberl Sep 2016

Goggatomy: A Method For Opening Small Cuticular Compartments In Arthropods For Physiological Experiments, Alan R. Kay, Davide Raccuglia, Jon Scholte, Elene Sivan-Loukianova, Chirstopher A. Barwacz, Steven R. Armstrong, C. Allan Guymon, Michael N. Nitabach, Daniel F. Eberl

Faculty Publications

Most sense organs of arthropods are ensconced in small exoskeletal compartments that hinder direct access to plasma membranes. We have developed a method for exposing live sensory and supporting cells in such structures. The technique uses a viscous light cured resin to embed and support the structure, which is then sliced with a sharp blade. We term the procedure a “goggatomy,” from the Khoisan word for a bug, gogga. To demonstrate the utility of the method we show that it can be used to expose the auditory chordotonal organs in the second antennal segment and the olfactory receptor neurons …


Application Of Voltammetry For Electroanalytical Measurement Of Concentrations In Lacl3-Mgcl2 Mixtures In Eutectic Licl-Kcl, Zhonghang Wang, Devin Rappleye, C S. Yang, Michael Simpson Aug 2016

Application Of Voltammetry For Electroanalytical Measurement Of Concentrations In Lacl3-Mgcl2 Mixtures In Eutectic Licl-Kcl, Zhonghang Wang, Devin Rappleye, C S. Yang, Michael Simpson

Faculty Publications

For electroanalytical measurement of molten chloride salts, various voltammetry methods have been used on mixtures of MgCl2 and LaCl3 in eutectic LiCl-KCl. These salt mixtures are of primary interest to spent nuclear fuel electrorefining systems. MgCl2 is used as a surrogate for PuCl3, while LaCl3 represents rare earth fission product salts. Cyclic voltammetry scans with these salt mixtures exhibited extra peaks, presumably due to underpotential deposition of La(III) ions onto Mg. Quantitatively, the current contribution from each peak was best determined using normal pulse voltammetry and fit to the Cottrell equation. This yielded linear …


Lithium-Ion Batteries, Dean R. Carreon Romero Aug 2016

Lithium-Ion Batteries, Dean R. Carreon Romero

BYU Research Development Office Research Networking Conference

Electrochemical systems are fundamental to numerous applications, including batteries, fuel cells, and electrolysis. Accurate modeling of these systems is essential for improving their efficiency, performance, and longevity. This research focuses on the process of modeling electrochemical systems and conducting experiments to measure the local electronic and ionic conductivity of electrodes.


Biomedical Engineering, William Pitt Aug 2016

Biomedical Engineering, William Pitt

BYU Research Development Office Research Networking Conference

Polymeric biomedical materials and drug delivery, with recent emphasis on blood sepsis diagnostics. Today I am looking for collaboration in mathematical modeling of instabilities in sheared 2 phase flow.


Comparison Of Sfm Computer Vision Point Clouds Of A Landslide Derived From Multiple Small Uav Platforms And Sensors To A Tls Based Model, Samantha Ruggles, Joseph Clark, Kevin W. Franke, Derek Wolfe, Brandon Reimschiissel, Ronald Abraham Martin, Trent Okeson, John Hedengren Jul 2016

Comparison Of Sfm Computer Vision Point Clouds Of A Landslide Derived From Multiple Small Uav Platforms And Sensors To A Tls Based Model, Samantha Ruggles, Joseph Clark, Kevin W. Franke, Derek Wolfe, Brandon Reimschiissel, Ronald Abraham Martin, Trent Okeson, John Hedengren

Faculty Publications

Structure from motion (SfM) computer vision is a remote sensing method that is gaining popularity due to its simplicity and ability to accurately characterize site geometry in three dimensions (3D). While many researchers have demonstrated the potential for SfM to be used with unmanned aerial vehicles (UAVs) to model in three dimensions various geologic features such as landslides, little is understood how the selection of the UAV platform can affect the resolution and accuracy of the model. This study evaluates the resolution and accuracy of 3D point cloud models of a large landslide that occurred in 2013 near Page, Arizona …


Thermal And Convective Loading Methods For Releasing Hydrophobic Therapeutics From Contact Lenses, Ryan Ruben Horne Jun 2016

Thermal And Convective Loading Methods For Releasing Hydrophobic Therapeutics From Contact Lenses, Ryan Ruben Horne

Theses and Dissertations

This thesis investigates the feasibility of loading silicone hydrogel (SiHy) contact lenses with two different hydrophobic therapeutics, latanoprost and DMPC (1,2-dimyristoyl-sn-glycero-3-phosphocholine), for treatment of glaucoma and hyperemia respectively. The two methods of loading were 1) thermal loading in an aqueous medium and 2) convective loading in a solution of n-propanol. Dailies Total1® lenses prepared in this manner were tested for their loading and their release into artificial tears. Continuous release over 1-4 days at therapeutic levels is achievable from thermal loading of DMPC, convective loading of DMPC, and convective loading of latanoprost. The DMPC loading processes can be naturally integrated …


Dynamic Liquefied Natural Gas (Lng) Processing With Energy Storage Applications, Farhad Fazlollahi Jun 2016

Dynamic Liquefied Natural Gas (Lng) Processing With Energy Storage Applications, Farhad Fazlollahi

Theses and Dissertations

The cryogenic carbon capture™ (CCC) process provides energy- and cost-efficient carbon capture and can be configured to provide an energy storage system using an open-loop natural gas (NG) refrigeration system, which is called energy storing cryogenic carbon capture (CCC-ES™). This investigation focuses on the transient operation and especially on the dynamic response of this energy storage system and explores its efficiency, effectiveness, design, and operation. This investigation included four tasks.The first task explores the steady-state design of four different natural gas liquefaction processes simulated by Aspen HYSYS. These processes differ from traditional LNG process in that the CCC process vaporizes …


Nerve Regeneration Using Lysophosphatidylcholine And Nerve Growth Factor, Ryan Lavar Wood Jun 2016

Nerve Regeneration Using Lysophosphatidylcholine And Nerve Growth Factor, Ryan Lavar Wood

Theses and Dissertations

Peripheral nerve damage affects hundreds of thousands of people every year. This study tested the effectiveness of using lysophosphatidylcholine (LPC) in combination with nerve growth factor (NGF) to increase the healing rate of damaged left sciatic nerves in female rats. The rats were randomly divided into eight groups: Sham, Right Sciatic, Crush, LPC, LPC-NGF, Crush- LPC, Crush-NGF, and Crush-LPC-NGF. The healing of the nerves was measured by monitoring gait, electrophysiological parameters (compound muscle action potential amplitudes and nerve conductance velocities) and morphological parameters (total fascicular area, total myelinated fiber counts, fiber densities, fiber diameters, and g-ratio). Gait and electrophysiological parameters …


Order Reduction Of Dae Models, John Hedengren, Thomas F. Edgar May 2016

Order Reduction Of Dae Models, John Hedengren, Thomas F. Edgar

Faculty Publications

This report outlines a technique for the order reduction of differential algebraic equations (DAEs). The order reduction is accomplished in two steps. First, algebraic states are partitioned into successive implicit sets of variables and equations by reconstructing the sparsity pattern into lower triangular block form. Second, proper orthogonal decomposition (POD) is used to reduce the number of differential states. As a test case for the theory, a dynamic binary distillation column model is analyzed with the generalized approach. The index 1 DAE model of 52 differential and 178 algebraic states is reduced to an ODE model of 26 differential states.


Developing Modeling, Optimization, And Advanced Process Control Frameworks For Improving The Performance Of Transient Energy-Intensive Applications, Seyed Mostafa Safdarnejad May 2016

Developing Modeling, Optimization, And Advanced Process Control Frameworks For Improving The Performance Of Transient Energy-Intensive Applications, Seyed Mostafa Safdarnejad

Theses and Dissertations

The increasing trend of world-wide energy consumption emphasizes the importance of ongoing optimization of new and existing technologies. In this dissertation, two energy–intensive systems are simulated and optimized. Advanced estimation, optimization, and control techniques such as a moving horizon estimator and a model predictive controller are developed to enhance the profitability, product quality, and reliability of the systems. An enabling development is presented for the solution of complex dynamic optimization problems. The strategy involves an initialization approach to large–scale system models that both enhance the computational performance as well as the ability of the solver to converge to an optimal …


Moving Horizon Estimation For An Industrial Gas Phase Polymerization Reactor, Jasmeer Ramhal, Kenneth V. Allsford, John Hedengren Apr 2016

Moving Horizon Estimation For An Industrial Gas Phase Polymerization Reactor, Jasmeer Ramhal, Kenneth V. Allsford, John Hedengren

Faculty Publications

A large-scale set of differential and algebraic equations (DAEs) is used to model and control an industrial gas phase polymerization reactor. Moving horizon estimation, preceding the nonlinear control optimization, provides an estimate of the current states and unmeasured disturbances. MHE is compared to Implicit Dynamic Feedback (IDFTM)*. With MHE, there is improved estimation of unmodeled disturbances in the UNIPOLTM** polyethylene plant. The polymerization model is converted to algebraic equations by orthogonal collocation and solved with the MHE objective function in a simultaneous optimization. NOVATM, an active-set sparse NLP solver, is used to converge …


Protein Synthesis Directly From Pcr: Progress And Applications Of Cell-Free Protein Synthesis With Linear Dna, Song-Min Schinn, Andrew Broadbent, William T. Bradley, Bradley Charles Bundy Apr 2016

Protein Synthesis Directly From Pcr: Progress And Applications Of Cell-Free Protein Synthesis With Linear Dna, Song-Min Schinn, Andrew Broadbent, William T. Bradley, Bradley Charles Bundy

Faculty Publications

A rapid, versatile method of protein expression and screening can greatly facilitate the future development of therapeutic biologics, proteomic drug targets and biocatalysts. An attractive candidate is cell-free protein synthesis (CFPS), a cell-lysate-based in vitro expression system, which can utilize linear DNA as expression templates, bypassing time-consuming cloning steps of plasmid-based methods. Traditionally, such linear DNA expression templates (LET) have been vulnerable to degradation by nucleases present in the cell lysate, leading to lower yields. This challenge has been significantly addressed in the recent past, propelling LET-based CFPS as a useful tool for studying, screening and engineering proteins in a …


Mitigating Transients And Azeotropes During Natural Gas Processing, Edris Ebrahimzadeh Apr 2016

Mitigating Transients And Azeotropes During Natural Gas Processing, Edris Ebrahimzadeh

Theses and Dissertations

Cryogenic carbon capture process can be used to efficiently eliminate CO2 emissions from fossil-fueled power plants. The energy-storing embodiment of cryogenic carbon capture (ES-CCC) integrates energy storage with cryogenic carbon capture and uses natural gas as a refrigerant. ES-CCC captures CO2 from slowly varying or steady-state sources even as it absorbs and replaces large amounts of energy on the grid for energy storage. These large transients occur in the LNG generation as the process moves through energy storing to energy recovery operations. Additionally, raw natural gas often includes CO2 that forms an azeotrope with ethane. Breaking this azeotrope and separating …


A Continuous Formulation For Logical Decisions In Differential Algebraic Systems Using Mathematical Programs Of Complementarity Constraints, Kody Powell, Ammon N. Eaton, John Hedengren, Thomas F. Edgar Mar 2016

A Continuous Formulation For Logical Decisions In Differential Algebraic Systems Using Mathematical Programs Of Complementarity Constraints, Kody Powell, Ammon N. Eaton, John Hedengren, Thomas F. Edgar

Faculty Publications

This work presents a methodology to represent logical decisions in differential algebraic equation simulation and constrained optimization problems using a set of continuous algebraic equations. The formulations may be used when state variables trigger a change in process dynamics, and introduces a pseudo-binary decision variable, which is continuous, but should only have valid solutions at values of either zero or one within a finite time horizon. This formulation enables dynamic optimization problems with logical disjunctions to be solved by simultaneous solution methods without using methods such as mixed integer programming. Several case studies are given to illustrate the value of …


A Continuous Formulation For Logical Decisions In Differential Algebraic Systems Using Mathematical Programs With Complementarity Constraints, Kody M. Powell, Ammon N. Eaton, John Hedengren, Thomas F. Edgar Mar 2016

A Continuous Formulation For Logical Decisions In Differential Algebraic Systems Using Mathematical Programs With Complementarity Constraints, Kody M. Powell, Ammon N. Eaton, John Hedengren, Thomas F. Edgar

Faculty Publications

This work presents a methodology to represent logical decisions in differential algebraic equation simulation and constrained optimization problems using a set of continuous algebraic equations. The formulations may be used when state variables trigger a change in process dynamics, and introduces a pseudo-binary decision variable, which is continuous, but should only have valid solutions at values of either zero or one within a finite time horizon. This formulation enables dynamic optimization problems with logical disjunctions to be solved by simultaneous solution methods without using methods such as mixed integer programming. Several case studies are given to illustrate the value of …


Extracellular Matrix From Whole Porcine Heart Decellularization For Cardiac Tissue Engineering, Nima Momtahan Mar 2016

Extracellular Matrix From Whole Porcine Heart Decellularization For Cardiac Tissue Engineering, Nima Momtahan

Theses and Dissertations

Heart failure is one of the leading causes of death in the United States. Every year in the United States, more than 800,000 people are diagnosed with heart failure and more than 375,000 people die from heart disease. Current therapies such as heart transplants and bioartificial hearts are helpful, but not optimal. Decellularization of porcine whole hearts followed by recellularization with patient-specific human cells may provide the ultimate solution for patients with heart failure. Great progress has been made in the development of efficient processes for decellularization, and the design of automated bioreactors. In this study, the decellularization of porcine …


Aminoacyl-Trna Synthetase Production For Unnatural Amino Acid Incorporation And Preservation Of Linear Expression Templates In Cell-Free Protein Synthesis Reactions, Andrew Broadbent Mar 2016

Aminoacyl-Trna Synthetase Production For Unnatural Amino Acid Incorporation And Preservation Of Linear Expression Templates In Cell-Free Protein Synthesis Reactions, Andrew Broadbent

Theses and Dissertations

Proteins—polymers of amino acids—are a major class of biomolecules whose myriad functions facilitate many crucial biological processes. Accordingly, human control over these biological processes depends upon the ability to study, produce, and modify proteins. One innovative tool for accomplishing these aims is cell-free protein synthesis (CFPS). This technique, rather than using living cells to make protein, simply extracts the cells' natural protein-making machinery and then uses it to produce protein in vitro. Because living cells are no longer involved, scientists can freely adapt the protein production environment in ways not otherwise possible. However, improved versatility and yield of CFPS protein …


The Influence Of Season, Heating Mode And Slope Angle On Wildland Fire Behavior, Jonathan R. Gallacher Feb 2016

The Influence Of Season, Heating Mode And Slope Angle On Wildland Fire Behavior, Jonathan R. Gallacher

Theses and Dissertations

Wildland fire behavior research in the last 100 years has largely focused on understanding the physical phenomena behind fire spread and on developing models that can predict fire behavior. Research advances in the areas of live-fuel combustion and combustion modeling have highlighted several weaknesses in the current approach to fire research. Some of those areas include poor characterization of solid fuels in combustion modeling, a lack of understanding of the dominant heat transfer mechanisms in fire spread, a lack of understanding regarding the theory of live-fuel combustion, and a lack of understanding regarding the behavior of flames near slopes. In …


Voltammetric Analysis Of Mixtures Of Molten Eutectic Licl-Kcl Containing Lacl3 And Thcl4 For Concentration And Diffusion Coefficient Measurement, Zhong-Hang Wang, Devin Rappleye, Michael F. Simpson Jan 2016

Voltammetric Analysis Of Mixtures Of Molten Eutectic Licl-Kcl Containing Lacl3 And Thcl4 For Concentration And Diffusion Coefficient Measurement, Zhong-Hang Wang, Devin Rappleye, Michael F. Simpson

Faculty Publications

Several electrochemical techniques, including cyclic voltammetry (CV), chronopotentiometry-open circuit potential (CP-OCP), chronoamperometry (CA) and normal pulse voltammetry (NPV) were applied to the eutectic LiCl-KCl melt containing LaCl3 and ThCl4 at 773K. The dependence of diffusion coefficient of La(III) on concentration of LaCl3 was investigated by using CV, CP and CA. As the concentration of LaCl3 increases, the DLa(III) value obtained from CV gradually decreases, while the values derived from CA and CP exhibit a dome-shaped variation trend. In the LiCl-KCl-LaCl3-ThCl4 system, the diffusion coefficients of La(III) and Th(IV) are both approximately constant …


Global Sensitivity Analysis For A Comprehensive Char Conversion Model In Oxy-Fuel Conditions, Troy Michael Holland, Thomas H. Fletcher Jan 2016

Global Sensitivity Analysis For A Comprehensive Char Conversion Model In Oxy-Fuel Conditions, Troy Michael Holland, Thomas H. Fletcher

Faculty Publications

Oxy-fired coal combustion is a promising potential carbon capture technology. Predictive CFD simulations are valuable tools in evaluating and deploying oxy-fuel and other carbon capture technologies either as retrofit technologies or for new construction. However, accurate predictive simulations require physically realistic submodels with low computational requirements. In particular, comprehensive char oxidation and gasification models have been developed that describe multiple reaction and diffusion processes. This work focuses on the sensitivity of a recent comprehensive char conversion code named CCK, which treats surface oxidation and gasification reactions as well as the processes such as film diffusion, pore diffusion, ash encapsulation, and …


A Comparison Of Simple Global Kinetic Models For Coal Devolatilization With The Cpd Model, Andrew Richards, Thomas H. Fletcher Jan 2016

A Comparison Of Simple Global Kinetic Models For Coal Devolatilization With The Cpd Model, Andrew Richards, Thomas H. Fletcher

Faculty Publications

Simulations of coal combustors and gasifiers generally cannot incorporate the complexities of advanced pyrolysis models, and hence there is interest in evaluating simpler models over ranges of temperature and heating rate that are applicable to the furnace of interest. In this paper, six different simple model forms are compared to predictions made by the Chemical Percolation Devolatilization (CPD) model. The model forms included three modified one-step models, a simple two-step model, and two new modified two-step models. These simple model forms were compared over a wide range of heating rates (5000 to 106 K/s) at final temperatures up to …


Independent Effects Of Surface And Gas Temperature On Coal Fly Ash Deposition In Gas Turbines At Temperatures Up To 1400 C, Robert Laycock, Thomas H. Fletcher Jan 2016

Independent Effects Of Surface And Gas Temperature On Coal Fly Ash Deposition In Gas Turbines At Temperatures Up To 1400 C, Robert Laycock, Thomas H. Fletcher

Faculty Publications

Deposition of coal fly ash in gas turbines has been studied to support the concept of integrated gasification combined cycle (IGCC). Although particle filters are used in IGCC, small amounts of ash particles less than 5 microns in diameter enter the gas turbine. Previous deposition experiments in the literature have been conducted at temperatures up to about 1288 C. However, few tests have been conducted that reveal the independent effects of gas and surface temperature, and most have been conducted at gas temperatures lower than 1400 C. The independent effects of gas and surface temperature on particle deposition in a …


Stochastic Simulation Of Lagrangian Particle Transport In Turbulent Flows, Guangyuan Sun Dec 2015

Stochastic Simulation Of Lagrangian Particle Transport In Turbulent Flows, Guangyuan Sun

Theses and Dissertations

This dissertation presents the development and validation of the One Dimensional Turbulence (ODT) multiphase model in the Lagrangian reference frame. ODT is a stochastic model that captures the full range of length and time scales and provides statistical information on fine-scale turbulent-particle mixing and transport at low computational cost. The flow evolution is governed by a deterministic solution of the viscous processes and a stochastic representation of advection through stochastic domain mapping processes. The three algorithms for Lagrangian particle transport are presented within the context of the ODT approach. The Type-I and -C models consider the particle-eddy interaction as instantaneous …


Galvanic Corrosion Of Magnesium Coupled To Steel At High Cathode-To-Anode Area Ratios, Dila Ram Banjade Dec 2015

Galvanic Corrosion Of Magnesium Coupled To Steel At High Cathode-To-Anode Area Ratios, Dila Ram Banjade

Theses and Dissertations

In this study, the impact of galvanic coupling of magnesium to steel on the corrosion rate, surface morphology, and surface film formation was investigated. In particular, the role of self-corrosion was quantified as previous studies showed discrepancies between model predictions and experimental results that were likely due to significant self-corrosion. This experimental study examined the corrosion of Mg coupled to steel in 5 wt% NaCl at cathode-to-anode area ratios that ranged from 5 to 27. Results showed that self-corrosion was significant and accounted for, on average, one-third of total corrosion. Moreover, self-corrosion varied with time and cathode size, and was …


Overview Of Estimation Methods For Industrial Dynamic Systems, John Hedengren, Ammon Eaton Nov 2015

Overview Of Estimation Methods For Industrial Dynamic Systems, John Hedengren, Ammon Eaton

Faculty Publications

Measurement technology is advancing in the oil and gas industry. Factors such as wireless transmitters, reduced cost of measurement technology, and increased regulations that require active monitoring tend to increase the number of available measurements. There is a clear opportunity to distill the recent flood of measurements into relevant and actionable information. Common methods to do this include a filtered bias update, implicit dynamic feedback, Kalman filtering, and moving horizon estimation. The purpose of these techniques is to validate measurements and align imperfect mathematical models to the actual process. Additionally, they can determine a best-estimate of the current state of …


Prediction And Validation Of External Cooling Loop Cryogenic Carbon Capture (Ccc-Ecl) For Full-Scale Coal-Fired Power Plant Retrofit, Mark J. Jensen, Christopher S. Russell, David Bergerson, Christopher D. Hoeger, David J. Frankman, Christopher S. Bence, Larry Lin Baxter Nov 2015

Prediction And Validation Of External Cooling Loop Cryogenic Carbon Capture (Ccc-Ecl) For Full-Scale Coal-Fired Power Plant Retrofit, Mark J. Jensen, Christopher S. Russell, David Bergerson, Christopher D. Hoeger, David J. Frankman, Christopher S. Bence, Larry Lin Baxter

Faculty Publications

Bench-scale experiments and Aspen Plus (TM) simulations document full-scale, steady-state performance of the external cooling loop cryogenic carbon capture (CCC-ECL) process for a 550 MWe coal-fired power plant. The baseline CCC-ECL process achieves 90% CO2 capture, and has the potential to capture 99+ % of CO2, SO2, PM, NO2, Hg, and most other noxious species. The CCC-ECL process cools power plant flue gas to 175 K, at which point solid CO2 particles desublimate as the flue gas further cools to 154K. Desublimating flue gas cools in a staged column in direct contact with a cryogenic liquid and produces a CO2-lean …


Ash Formation And Deposition During Oxy-Coal Combustion In A 100 Kw Laboratory Combustor With Various Flue Gas Recycle Options, Zhonghua Zhan, Andrew R. Fry, Danxi Yu, Minghou Xu, Jost O.L. Wendt Oct 2015

Ash Formation And Deposition During Oxy-Coal Combustion In A 100 Kw Laboratory Combustor With Various Flue Gas Recycle Options, Zhonghua Zhan, Andrew R. Fry, Danxi Yu, Minghou Xu, Jost O.L. Wendt

Faculty Publications

Fouling and slagging processes are important in oxy-coal combustion processes because they greatly influence heat transfer and boiler performance. Ash partitioning processes are precursors to deposition processes and so in order to predict the latter one must have a good understanding of the former. This work involves a 100 kW rated down-fired oxy-fuel combustor outfitted with sophisticated ash aerosol and ash deposit sampling equipment. The work differs from that previously published, in that here we focus on the effects of changes in the composition and amounts of actual recycled flue gas (RFG) streams used in oxy-coal combustion, not using once …


Hybrid Dynamic Optimization Methods For Systems Biology With Efficient Sensitivities, Nicholas Lewis, John Hedengren, Eric Haseltine Sep 2015

Hybrid Dynamic Optimization Methods For Systems Biology With Efficient Sensitivities, Nicholas Lewis, John Hedengren, Eric Haseltine

Faculty Publications

In recent years, model optimization in the field of computational biology has become a prominent area for development of pharmaceutical drugs. The increased amount of experimental data leads to the increase in complexity of proposed models. With increased complexity comes a necessity for computational algorithms that are able to handle the large datasets that are used to fit model parameters. In this study the ability of simultaneous, hybrid simultaneous, and sequential algorithms are tested on two models representative of computational systems biology. The first case models the cells affected by a virus in a population and serves as a benchmark …


Morphology Of Nanoporous Carbon-Binder Domains In Li-Ion Batteries—A Fib-Sem Study, Severin Vierrath, Lukas Zielke, Riko Moroni, Andrew Mordon, Dean R. Wheeler, Roland Zengerle, Simon Thiele Sep 2015

Morphology Of Nanoporous Carbon-Binder Domains In Li-Ion Batteries—A Fib-Sem Study, Severin Vierrath, Lukas Zielke, Riko Moroni, Andrew Mordon, Dean R. Wheeler, Roland Zengerle, Simon Thiele

Faculty Publications

FIB-SEM tomography is used to reconstruct the carbon-binder domain (CBD) of a LiCoO2 battery cathode (3.9 × 5 × 2.3 μm3) with contrast enhancement by ZnO infiltration via atomic layer deposition. We calculate the porosity inside the CBD (57.6%), the cluster-size distribution with a peak at 54 nm, and the pore-size distribution with a peak at 64 nm. The tortuosities of the pore space (1.6–2.0) and the CBD (2.3–3.5) show a mild anisotropy, which is attributed to the fabrication process. A comparison to a modeled homogenous CBD reveals that clustering in the CBD decreases its electronic conductivity while increasing …


An Improved Statistical Analysis For Predicting The Critical Temperature And Critical Density With Gibbs Ensemble Monte Carlo Simulation, Richard A. Messerly, Richard L. Rowley, Thomas A. Knotts Iv, W Vincent Wilding Sep 2015

An Improved Statistical Analysis For Predicting The Critical Temperature And Critical Density With Gibbs Ensemble Monte Carlo Simulation, Richard A. Messerly, Richard L. Rowley, Thomas A. Knotts Iv, W Vincent Wilding

Faculty Publications

A rigorous statistical analysis is presented for Gibbs ensemble Monte Carlo simulations. This analysis reduces the uncertainty in the critical point estimate when compared with traditional methods found in the literature. Two different improvements are recommended due to the following results. First, the traditional propagation of error approach for estimating the standard deviations used in regression improperly weighs the terms in the objective function due to the inherent interdependence of the vapor and liquid densities. For this reason, an error model is developed to predict the standard deviations. Second, and most importantly, a rigorous algorithm for nonlinear regression is compared …