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 Effect of Subsurface Microseismicity on the Motion of Surrounding Dispersed Droplets – Data (1)
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FullText Articles in Physical Sciences and Mathematics
Parameter Identification For Gompertz And Logistic Dynamic Equations, Elvan Akin, Neslihan Nesliye Pelen, Ismail Ugur Tiryaki, Fusun Yalcin
Parameter Identification For Gompertz And Logistic Dynamic Equations, Elvan Akin, Neslihan Nesliye Pelen, Ismail Ugur Tiryaki, Fusun Yalcin
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we generalize and compare Gompertz and Logistic dynamic equations in order to describe the growth patterns of bacteria and tumor. First of all, we introduce two types of Gompertz equations, where the first type 4paramater and 3parameter Gompertz curves do not include the logarithm of the number of individuals, and then we derive 4parameter and 3parameter Logistic equations. We notice that Logistic curves are better in modeling bacteria whereas the growth pattern of tumor is described better by Gompertz curves. Increasing the number of parameters of Logistic curves give favorable results for bacteria while decreasing the number ...
Binary Metrics, Samer Assaf, Tom Cuchta, Matt Insall
Binary Metrics, Samer Assaf, Tom Cuchta, Matt Insall
Mathematics and Statistics Faculty Research & Creative Works
We define a binary metric as a symmetric, distributive lattice ordered magmavalued function of two variables, satisfying a “triangle inequality". Using the notion of a Kuratowski topology, in which topologies are specified by closed sets rather than open sets, we prove that every topology is induced by a binary metric. We conclude with a discussion on the relation between binary metrics and some separation axioms.
The MicrobiotaGutBrain Axis Heart Shunt Part I: The French Paradox, Heart Disease And The Microbiota, M. Obrenovich, B. Siddiqui, B. Mccloskey, Prakash Reddy
The MicrobiotaGutBrain Axis Heart Shunt Part I: The French Paradox, Heart Disease And The Microbiota, M. Obrenovich, B. Siddiqui, B. Mccloskey, Prakash Reddy
Chemistry Faculty Research & Creative Works
It has been well established that a vegetarian and polyphenolrich diet, including fruits, vegetables, teas, juices, wine, indigestible fiber and whole grains, provide healthpromoting phytochemicals and phytonutrients that are beneficial for the heart and brain. What is not wellcharacterized is the affect these foods have when cometabolized within our dynamic gut and its colonizing flora. The concept of a heart shunt within the microbiotagutbrain axis underscores the close association between brain and heart health and the socalled "French paradox" offers clues for understanding neurodegenerative and cerebrovascular diseases. Moreover, oxidationredox reactions and redox properties of socalled brain and heartprotective foods are ...
FiberOptic MicroProbes For Measuring Acidity Level, Temperature, And Antigens, Yinfa Ma, Honglan Shi, Qingbo Yang, Hai Xiao
FiberOptic MicroProbes For Measuring Acidity Level, Temperature, And Antigens, Yinfa Ma, Honglan Shi, Qingbo Yang, Hai Xiao
Chemistry Faculty Research & Creative Works
A pH microprobe, a temperature microprobe, and an immunobased microprobe each include a shaft for transmuting an input light signal and a tip for inserting into a cell or other substance for measuring pH, temperature, and/or antigens. The pH microprobe and the temperature microprobe each include a luminescent material positioned on the tip of the microprobe. The light signal excites the luminescent material so that the luminescent material emits a luminescent light signal. The luminescent light signal has a property value dependent on the pH or temperature being measured and reflects back through the shaft for being measured by ...
Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets: Supporting Information, Chao Zeng, Wen Deng
Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets: Supporting Information, Chao Zeng, Wen Deng
Research Data
The humaninduced seismicity has called substantial attention in recent years. The effect of seismicity on the subsurface structure has been extensively studied. However, the effect of seismicity, especially those microseismicity, on surrounding immiscible fluids is rarely investigated. In porous media with two or more immiscible fluids, different amplitudes of vibration induced by seismicity have distinct effects on the dynamic behavior of fluids. Three types of porescale models are prevalent in the analysis of the motion of immiscible droplets. The underlying assumptions and accuracy of these models are compared in this study in both frequency domain and time domain. The frequency ...
Gehring Inequalities On Time Scales, Martin Bohner, S. H. Saker
Gehring Inequalities On Time Scales, Martin Bohner, S. H. Saker
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we first prove a new dynamic inequality based on an application of the time scales version of a Hardytype inequality. Second, by employing the obtained inequality, we prove several Gehringtype inequalities on time scales. As an application of our Gehringtype inequalities, we present some interpolation and higher integrability theorems on time scales. The results as special cases, when the time scale is equal to the set of all real numbers, contain some known results, and when the time scale is equal to the set of all integers, the results are essentially new.
Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets  Data, Chao Zeng, Wen Deng
Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets  Data, Chao Zeng, Wen Deng
Effect of Subsurface Microseismicity on the Motion of Surrounding Dispersed Droplets – Data
Spreadsheet  Data plotted in Figure 4 and Figure 5
Revealing The Hidden Hyperfine Interactions In ΕIron, Dimitrios Bessas, Ilya Sergueev, Konstantin Glazyrin, Cornelius Strohm, Ilya Kupenko, Daniel G. Merkel, Gary J. Long, Fernande Grandjean, Aleksandr I. Chumakov, Rudolf Ruffer
Revealing The Hidden Hyperfine Interactions In ΕIron, Dimitrios Bessas, Ilya Sergueev, Konstantin Glazyrin, Cornelius Strohm, Ilya Kupenko, Daniel G. Merkel, Gary J. Long, Fernande Grandjean, Aleksandr I. Chumakov, Rudolf Ruffer
Chemistry Faculty Research & Creative Works
Herein, evidence for the longsought finite hyperfine interaction in the highpressure hexagonal closepacked εiron is gained through synchrotron radiation perturbed angular correlation spectroscopy. This method yields an energy splitting of 3.5(5)neV between the m_{Ie}= ± 1/2 and m_{Ie} = ± 3/2 nuclear sublevels of the iron57 14.412keV nuclear excited state at 30(1)GPa and room temperature. This energy splitting is related to a nuclear quadrupole hyperfine interaction with an electric field gradient of eq=1.2(2) x 10^{16}V/cm^{2}. However, there is still a possibility that the splitting ...
A Minimal Congruence Lattice Representation For 𝕄ₚ₊₁, Roger Bunn, David E. Grow, Matt Insall, Philip Thiem
A Minimal Congruence Lattice Representation For 𝕄ₚ₊₁, Roger Bunn, David E. Grow, Matt Insall, Philip Thiem
Mathematics and Statistics Faculty Research & Creative Works
Let p be an odd prime. The unary algebra consisting of the dihedral group of order 2p, acting on itself by left translation, is a minimal congruence lattice representation of 𝕄ₚ₊₁.
Model Comparison From LigoVirgo Data On Gw170817'S Binary Components And Consequences For The Merger Remnant, B. P. Abbott, R. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Model Comparison From LigoVirgo Data On Gw170817'S Binary Components And Consequences For The Merger Remnant, B. P. Abbott, R. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagnetic counterparts, and offers an opportunity to directly probe the internal structure of neutron stars. We perform Bayesian model selection on a wide range of theoretical predictions for the neutron star equation of state. For the binary neutron star hypothesis, we find that we cannot rule out the majority of theoretical models considered. In addition, the gravitationalwave data alone does not rule out the possibility that one or both objects were lowmass black holes ...
Local Orbital Degeneracy Lifting As A Precursor To An OrbitalSelective Peierls Transition, E. S. Bozin, W. G. Yin, R. J. Koch, M. Abeykoon, Yew San Hor, H. Zheng, H. C. Lei, C. Petrovic, J. F. Mitchell, S. J. L. Billinge
Local Orbital Degeneracy Lifting As A Precursor To An OrbitalSelective Peierls Transition, E. S. Bozin, W. G. Yin, R. J. Koch, M. Abeykoon, Yew San Hor, H. Zheng, H. C. Lei, C. Petrovic, J. F. Mitchell, S. J. L. Billinge
Physics Faculty Research & Creative Works
Fundamental electronic principles underlying all transition metal compounds are the symmetry and filling of the delectron orbitals and the influence of this filling on structural configurations and responses. Here we use a sensitive local structural technique, xray atomic pair distribution function analysis, to reveal the presence of fluctuating localstructural distortions at high temperature in one such compound, CuIr_{2}S_{4}. We show that this hitherto overlooked fluctuating symmetrylowering is electronic in origin and will modify the energylevel spectrum and electronic and magnetic properties. The explanation is a local, fluctuating, orbitaldegeneracylifted state. The natural extension of our result would be ...
The Conundrum Of Relaxation Volumes In FirstPrinciples Calculations Of Charged Defects In Uo₂, Anuj Goyal, Kiran Mathew, Richard G. Hennig, Aleksandr V. Chernatynskiy
The Conundrum Of Relaxation Volumes In FirstPrinciples Calculations Of Charged Defects In Uo₂, Anuj Goyal, Kiran Mathew, Richard G. Hennig, Aleksandr V. Chernatynskiy
Physics Faculty Research & Creative Works
The defect relaxation volumes obtained from densityfunctional theory (DFT) calculations of charged vacancies and interstitials are much larger than their neutral counterparts, seemingly unphysically large. We focus on UO2 as our primary material of interest, but also consider Si and GaAs to reveal the generality of our results. In this work, we investigate the possible reasons for this and revisit the methods that address the calculation of charged defects in periodic DFT. We probe the dependence of the proposed energy corrections to charged defect formation energies on relaxation volumes and find that corrections such as potential alignment remain ambiguous with ...
Search For Gravitational Waves From Scorpius X1 In The Second Advanced Ligo Observing Run With An Improved Hidden Markov Model, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Search For Gravitational Waves From Scorpius X1 In The Second Advanced Ligo Observing Run With An Improved Hidden Markov Model, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
We present results from a semicoherent search for continuous gravitational waves from the lowmass xray binary Scorpius X1, using a hidden Markov model (HMM) to track spin wandering. This search improves on previous HMMbased searches of LIGO data by using an improved frequency domain matched filter, the Jstatistic, and by analyzing data from Advanced LIGO's second observing run. In the frequency range searched, from 60 to 650 Hz, we find no evidence of gravitational radiation. At 194.6 Hz, the most sensitive search frequency, we report an upper limit on gravitational wave strain (at 95% confidence) of h_{0 ...}
Lattice Thermal Conductivity Of Quartz At High Pressure And Temperature From The Boltzmann Transport Equation, Xue Xiong, Eugene J. Ragasa, Aleksandr V. Chernatynskiy, Dawei Tang, Simon R. Phillpot
Lattice Thermal Conductivity Of Quartz At High Pressure And Temperature From The Boltzmann Transport Equation, Xue Xiong, Eugene J. Ragasa, Aleksandr V. Chernatynskiy, Dawei Tang, Simon R. Phillpot
Physics Faculty Research & Creative Works
The thermal conductivities along the basal and hexagonal directions of αquartz silica, the lowtemperature form of crystalline SiO_{2}, are predicted from the solution of the Boltzmann transport equation combined with the van Beest, Kramer, and van Santen potential for the temperature up to 900 K and the pressure as high as 4 GPa. The thermal conductivities at atmospheric pressure, which show a negative and nonlinear dependence on temperature, are in reasonable agreement with the experimental data. The influence of pressure on thermal conductivity is positive and linear. The pressure (P) and temperature (T) dependences of the thermal conductivity (λ ...
Cuinse₂ Nanotube Arrays For Efficient Solar Energy Conversion, Wipula Priya Liyanage, Manashi Nath
Cuinse₂ Nanotube Arrays For Efficient Solar Energy Conversion, Wipula Priya Liyanage, Manashi Nath
Chemistry Faculty Research & Creative Works
Highly uniform and vertically aligned ptype CuInSe_{2} (CISe) nanotube arrays were fabricated through a unique protocol, incorporating confined electrodeposition on lithographically patterned nanoelectrodes. This protocol can be readily adapted to fabricate nanotube arrays of other photoabsorber and functional materials with precisely controllable design parameters. Ternary CISe nanotube arrays were electrodeposited congruently from a single electrolytic bath and the resulting nanotube arrays were studied through powder Xray diffraction as well as elemental analysis which revealed compositional purity. Detailed photoelectrochemical (PEC) characterizations in a liquid junction cell were also carried out to investigate the photoconversion efficiency. It was observed that the ...
A Granger Causality Analysis Of Groundwater Patterns Over A HalfCentury, Nitin K. Singh, David M. Borrok
A Granger Causality Analysis Of Groundwater Patterns Over A HalfCentury, Nitin K. Singh, David M. Borrok
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Groundwater depletion in many areas of the world has been broadly attributed to irrigation. However, more formal, datadriven, causal mechanisms of longterm groundwater patterns have not been assessed. Here, we conducted the first Granger causality analysis to identify the "causes" of groundwater patterns using the riceproducing parishes of Louisiana, USA, as an example. Trend analysis showed a decline of up to 6 m in groundwater level over 51 years. We found that no single cause explained groundwater patterns for all parishes. Causal linkages were noted between groundwater and area harvested, number of irrigation wells, summer precipitation totals, and drought. Bidirectional ...
Facile OnePot Synthesis Of Nico₂Se₄Rgo On Ni Foam For High Performance Hybrid Supercapacitors, Bahareh Golrokh Amin, Jahangir Masud, Manashi Nath
Facile OnePot Synthesis Of Nico₂Se₄Rgo On Ni Foam For High Performance Hybrid Supercapacitors, Bahareh Golrokh Amin, Jahangir Masud, Manashi Nath
Chemistry Faculty Research & Creative Works
A facile, innovative synthesis for the fabrication of NiCo_{2}Se_{4}rGO on a Ni foam nanocomposite via a simple hydrothermal reaction is proposed. The asprepared NiCo_{2}Se_{4}rGO@Ni foam electrode was tested through pxrd, TEM, SEM, and EDS to characterize the morphology and the purity of the material. The bimetallic electrode exhibited outstanding electrochemical performance with a high specific capacitance of 2038.55 F g^{1} at 1 A g^{1}. NiCo_{2}Se_{4}rGO@Ni foam exhibits an extensive cycling stability after 1000 cycles by retaining 90% of its initial capacity. A superior ...
Angular Memory Effect Of Transmission Eigenchannels, Hasan Yllmaz, Chia Wei Hsu, Arthur Goetschy, Stefan Bittner, Stefan Rotter, Alexey Yamilov, Hui Cao
Angular Memory Effect Of Transmission Eigenchannels, Hasan Yllmaz, Chia Wei Hsu, Arthur Goetschy, Stefan Bittner, Stefan Rotter, Alexey Yamilov, Hui Cao
Physics Faculty Research & Creative Works
The optical memory effect has emerged as a powerful tool for imaging through multiplescattering media; however, the finite angular range of the memory effect limits the field of view. Here, we demonstrate experimentally that selective coupling of incident light into a hightransmission channel increases the angular memoryeffect range. This enhancement is attributed to the robustness of the hightransmission channels against perturbations such as sample tilt or wave front tilt. Our work shows that the hightransmission channels provide an enhanced field of view for memoryeffectbased imaging through diffusive media.
Tests Of General Relativity With The Binary Black Hole Signals From The LigoVirgo Catalog Gwtc1, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Tests Of General Relativity With The Binary Black Hole Signals From The LigoVirgo Catalog Gwtc1, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
The detection of gravitational waves by Advanced LIGO and Advanced Virgo provides an opportunity to test general relativity in a regime that is inaccessible to traditional astronomical observations and laboratory tests. We present four tests of the consistency of the data with binary black hole gravitational waveforms predicted by general relativity. One test subtracts the bestfit waveform from the data and checks the consistency of the residual with detector noise. The second test checks the consistency of the low and highfrequency parts of the observed signals. The third test checks that phenomenological deviations introduced in the waveform model (including in ...
A MultiStep Approach To Modeling The 24Hour Daily Profiles Of Electricity Load Using Daily Splines, Abdelmonaem Jornaz, V. A. Samaranayake
A MultiStep Approach To Modeling The 24Hour Daily Profiles Of Electricity Load Using Daily Splines, Abdelmonaem Jornaz, V. A. Samaranayake
Mathematics and Statistics Faculty Research & Creative Works
Forecasting of realtime electricity load has been an important research topic over many years. Electricity load is driven by many factors, including economic conditions and weather. Furthermore, the demand for electricity varies with time, with different hours of the day and different days of the week having an effect on the load. This paper proposes a hybrid loadforecasting method that combines classical time series formulations with cubic splines to model electricity load. It is shown that this approach produces a model capable of making shortterm forecasts with reasonable accuracy. In contrast to forecasting models that utilize a multitude of regressor ...
Extraction And Visualization Of Orientation Data From Virtual Geologic Surfaces With Matlab®, Avery J. Welker, John Patrick Hogan, Andreas Eckert
Extraction And Visualization Of Orientation Data From Virtual Geologic Surfaces With Matlab®, Avery J. Welker, John Patrick Hogan, Andreas Eckert
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Highresolution visualization of surfaces of geologic interest, at a multitude of scales, using 3D point cloud technologies provides an opportunity to analyze spatial relationships of surfaces using orientation data. We present a MATLAB® script that produces planar geologic attitude data (e.g., strike, dip, and dipdirection data) from 3D datasets (e.g., point clouds, 3D scanning). The method utilizes Cartesian coordinates of triangular planar surfaces and converts them into matrices of conventional geologic attitude data. Spatial relationships among data points can be investigated, using polar tangent diagrams, stereographic analysis, or geologic curvature analysis. We utilize this script to create "synthetic ...
Collective Representation Learning On Spatiotemporal Heterogeneous Information Networks, Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold, Yanjie Fu
Collective Representation Learning On Spatiotemporal Heterogeneous Information Networks, Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold, Yanjie Fu
Computer Science Faculty Research & Creative Works
Representation learning is a technique that is used to capture the underlying latent features of complex data. Representation learning on networks has been widely implemented for learning network structure and embedding it in a low dimensional vector space. In recent years, network embedding using representation learning has attracted increasing attention, and many deep architectures have been widely proposed. However, existing network embedding techniques ignore the multiclass spatial and temporal relationships that crucially reflect the complex nature among vertices and links in spatiotemporal heterogeneous information networks(SHINs).
To address this problem, in this paper, we present two types of collective representation ...
Enhanced Piezoresponse And Nonlinear Optical Properties Of Fluorinated SelfAssembled Peptide Nanotubes, Soma Khanra, Sandra V. Vassiliades, Wendel A. Alves, Kaidi Yang, Rainer Glaser, Kartik Ghosh, Payal Bhattacharya, Ping Yu, Suchismita Guha
Enhanced Piezoresponse And Nonlinear Optical Properties Of Fluorinated SelfAssembled Peptide Nanotubes, Soma Khanra, Sandra V. Vassiliades, Wendel A. Alves, Kaidi Yang, Rainer Glaser, Kartik Ghosh, Payal Bhattacharya, Ping Yu, Suchismita Guha
Chemistry Faculty Research & Creative Works
Selfassembled L,Ldiphenylalanine (FF) nanostructures offer an attractive platform for photonics and nonlinear optics. The nonlinear optical (NLO) coefficients of FF nanotubes depend on the diameter of the tube [S. Khanra et al. Phys. Chem. Chem. Phys. 19(4), 30843093 (2017)]. To further enhance the NLO properties of FF, we search for structural modifications. Here, we report on the synthesis of fluorinated FF dipeptides by replacing one orthohydrogen atom in each of the phenyl groups of FF by a fluorine atom. Densityfunctional theoretical calculations yield insights into minimum energy conformers of fluorinated FF (FlFF). FlFF selfassembles akin to FF into ...
A Deep Learning Approach For Tweet Classification And Rescue Scheduling For Effective Disaster Management, Md. Yasin Kabir, Sanjay Kumar Madria
A Deep Learning Approach For Tweet Classification And Rescue Scheduling For Effective Disaster Management, Md. Yasin Kabir, Sanjay Kumar Madria
Computer Science Faculty Research & Creative Works
Every activity in disaster management demands accurate and uptodate information to allow a quick, easy, and costefective response to reduce the possible loss of lives and properties. It is a challenging and complex task to acquire information from diferent regions of a disasterafected area in a timely fashion. The extensive spread and reach of social media and networks such as Twitter allow people to share information in realtime. However, gathering of valuable information requires a series of operations such as (1) processing each tweet for the text classiication, (2) possible location determination of people needing help based on tweets, and ...
Blended Root Finding Algorithm Outperforms Bisection And Regula Falsi Algorithms, Chaman Sabharwal
Blended Root Finding Algorithm Outperforms Bisection And Regula Falsi Algorithms, Chaman Sabharwal
Computer Science Faculty Research & Creative Works
Finding the roots of an equation is a fundamental problem in various fields, including numerical computing, social and physical sciences. Numerical techniques are used when an analytic solution is not available. There is not a single algorithm that works best for every function. We designed and implemented a new algorithm that is a dynamic blend of the bisection and regula falsi algorithms. The implementation results validate that the new algorithm outperforms both bisection and regula falsi algorithms. It is also observed that the new algorithm outperforms the secant algorithm and the NewtonRaphson algorithm because the new algorithm requires fewer computational ...
Novel Highly Porous Ceramic And Metal Aerogels From Xerogel Powder Precursors, And Methods For Their Production And Use, Nicholas Leventis, Lia SotiriouLeventis, Malik Adnan Saeed, Parwani Rewatkar, Tahereh Taghvaee
Novel Highly Porous Ceramic And Metal Aerogels From Xerogel Powder Precursors, And Methods For Their Production And Use, Nicholas Leventis, Lia SotiriouLeventis, Malik Adnan Saeed, Parwani Rewatkar, Tahereh Taghvaee
Chemistry Faculty Research & Creative Works
The present invention discloses novel methods for producing highly porous ceramic and/or metal aerogel monolithic objects that are hard, sturdy, and resistant to high temperatures. These methods comprise preparing nanoparticulate oxides of metals and/or metalloids via a step of vigorous stirring to prevent gelation, preparing polymermodified xerogel powder compositions by reacting said nanoparticulate oxides with one or more polyfunctional monomers, compressing said polymermodified xerogel powder compositions into shaped compacts, and carbothermal conversion of the shaped xerogel compacts via pyrolysis to provide the highly porous ceramic and/or metal aerogel monolithic objects that have the same shapes as to ...
An Optimal Edg Method For Distributed Control Of Convection Diffusion Pdes, X. Zhang, Y. Zhang, John R. Singler
An Optimal Edg Method For Distributed Control Of Convection Diffusion Pdes, X. Zhang, Y. Zhang, John R. Singler
Mathematics and Statistics Faculty Research & Creative Works
We propose an embedded discontinuous Galerkin (EDG) method to approximate the solution of a distributed control problem governed by convection diffusion PDEs, and obtain optimal a priori error estimates for the state, dual state, their uxes, and the control. Moreover, we prove the optimizethendiscretize (OD) and discrtizethenoptimize (DO) approaches coincide. Numerical results confirm our theoretical results.
Electrochemistry Of Illusive Barbosalite, Fe²⁺Fe³⁺ 2(Po₄)₂(Oh)₂: An Iron Phosphate Related To Lipscombite Structure, Prashanth Sandineni, Kartik Ghosh, Amitava Choudhury
Electrochemistry Of Illusive Barbosalite, Fe²⁺Fe³⁺ 2(Po₄)₂(Oh)₂: An Iron Phosphate Related To Lipscombite Structure, Prashanth Sandineni, Kartik Ghosh, Amitava Choudhury
Chemistry Faculty Research & Creative Works
Barbosalite, an iron hydroxyphosphate belonging to the family of Lazulite has been synthesized using hydrothermal route and its electrochemical property is investigated for the first time with respect to Liion batteries. The structure, as determined from singlecrystal Xray diffraction data, built up of undulating layers of FeO_{6} octahedra, consisting of trimers and PO_{4} tetrahedral units. Magnetic susceptibility measurements show predominant overall antiferromagnetic interactions and room temperature 57Fe Mössbauer spectroscopic studies confirm the mixed 3+ and 2+ oxidation states of Fe in the compound. The compound is stable up to 400°C and undergo facile electrochemical lithium insertion. Galvanostatic ...
Search For Eccentric Binary Black Hole Mergers With Advanced Ligo And Advanced Virgo During Their First And Second Observing Runs, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Search For Eccentric Binary Black Hole Mergers With Advanced Ligo And Advanced Virgo During Their First And Second Observing Runs, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
When formed through dynamical interactions, stellarmass binary black holes (BBHs) may retain eccentric orbits (e > 0.1 at 10 Hz) detectable by groundbased gravitationalwave detectors. Eccentricity can therefore be used to differentiate dynamically formed binaries from isolated BBH mergers. Current templatebased gravitationalwave searches do not use waveform models associated with eccentric orbits, rendering the search less efficient for eccentric binary systems. Here we present the results of a search for BBH mergers that inspiral in eccentric orbits using data from the first and second observing runs (O1 and O2) of Advanced LIGO and Advanced Virgo. We carried out the search ...
Tracking The 6Dof Flight Trajectory Of Windborne Debris Using Stereophotogrammetry, Chaman Sabharwal, Yanlin Guo
Tracking The 6Dof Flight Trajectory Of Windborne Debris Using Stereophotogrammetry, Chaman Sabharwal, Yanlin Guo
Computer Science Faculty Research & Creative Works
Numerous postwindstorm investigations have reported that windborne debris can cause costly damage to the envelope of buildings in urban areas under strong winds (e.g., during hurricanes or tornados). Thus, understanding the physics of debris flight is of critical importance. Previously developed numerical models describing debris flight physics have not been validated for the complex urban flow environment; such a validation requires experimentally measuring the debris flight trajectory in wind tunnel tests. In this context, this paper proposes a debris measurement algorithm using stereophotogrammetry. This algorithm aims to determine the sixdegreeoffreedom (6DOF) trajectory and velocity of flying debris, addressing the ...