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Classification Of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach, Yanwei Zhang, Stephen S. Gao Jun 2022

Classification Of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach, Yanwei Zhang, Stephen S. Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Shear wave splitting (SWS) analysis is widely used to provide critical constraints on crustal and mantle structure and dynamic models. In order to obtain reliable splitting measurements, an essential step is to visually verify all the measurements to reject problematic measurements, a task that is increasingly time consuming due to the exponential increase in the amount of data. In this study, we utilized a convolutional neural network (CNN) based method to automatically select reliable SWS measurements. The CNN was trained by human-verified teleseismic SWS measurements and tested using synthetic SWS measurements. Application of the trained CNN to broadband seismic data …

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Ultrasmall Nanodiamonds: Perspectives And Questions, Shery L.Y. Chang, Philipp Reineck, Anke Krueger, Vadym Mochalin Jun 2022

Ultrasmall Nanodiamonds: Perspectives And Questions, Shery L.Y. Chang, Philipp Reineck, Anke Krueger, Vadym Mochalin

Chemistry Faculty Research & Creative Works

Nanodiamonds are at the heart of a plethora of emerging applications in areas ranging from nanocomposites and tribology to nanomedicine and quantum sensing. The development of alternative synthesis methods, a better understanding, and the availability of ultrasmall nanodiamonds of less than 3 nm size with a precisely engineered composition, including the particle surface and atomic defects in the diamond crystal lattice, would mark a leap forward for many existing and future applications. Yet today, we are unable to accurately control nanodiamond composition at the atomic scale, nor can we reliably create and isolate particles in this size range. In this …

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Ultrafast Error-Bounded Lossy Compression For Scientific Datasets, Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello Jun 2022

Ultrafast Error-Bounded Lossy Compression For Scientific Datasets, Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

Computer Science Faculty Research & Creative Works

Today's scientific high-performance computing applications and advanced instruments are producing vast volumes of data across a wide range of domains, which impose a serious burden on data transfer and storage. Error-bounded lossy compression has been developed and widely used in the scientific community because it not only can significantly reduce the data volumes but also can strictly control the data distortion based on the user-specified error bound. Existing lossy compressors, however, cannot offer ultrafast compression speed, which is highly demanded by numerous applications or use cases (such as in-memory compression and online instrument data compression). In this paper, we propose …

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Carbon Nanotube Encapsulated Metal Selenide Nanostructures For Efficient Electrocatalytic Oxygen Evolution Reaction, Harish Singh, Wipula P.R. Liyanage, Manashi Nath Jun 2022

Carbon Nanotube Encapsulated Metal Selenide Nanostructures For Efficient Electrocatalytic Oxygen Evolution Reaction, Harish Singh, Wipula P.R. Liyanage, Manashi Nath

Chemistry Faculty Research & Creative Works

Nickel selenide nanowires were grown inside carbon nanotubes through in situ encapsulation via one-step chemical vapor deposition. These NiSe2@CNT nanohybrids showed excellent electrocatalytic activity for water splitting with a low overpotential of 260 mV at 10 mA cm−2, high current density, and extended stability owing to the synergistic effect between NiSe2 and CNTs.

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Anisotropic Third-Harmonic Generation Of Exfoliated As2s3 Thin Flakes, Ravi P.N. Tripathi, Xiaodong Yang, Jie Gao Jun 2022

Anisotropic Third-Harmonic Generation Of Exfoliated As2s3 Thin Flakes, Ravi P.N. Tripathi, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Van der Waals (vdW) materials have recently attracted significant interest in the context of orientation-dependent linear and nonlinear optical properties. Recently, arsenic trisulfide (As2S3) or orpiment is identified as a new vdW layered material having anisotropic vibrational and optomechanical responses due to the reduced in-plane crystal symmetry, but its nonlinear optical response is still not well understood yet. Herein, the anisotropic third-harmonic generation (THG) response of mechanically exfoliated As2S3 thin flakes is reported. The polarization-dependent evolution of THG emission from butterfly-shaped pattern to four-lobe pattern is comprehensively explored. Moreover, the third-order nonlinear susceptibility of As2S3 crystal is extracted by analyzing …

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Predicting Compressive Strength Of Alkali-Activated Systems Based On The Network Topology And Phase Assemblages Using Tree-Structure Computing Algorithms, Rohan Bhat, Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar Jun 2022

Predicting Compressive Strength Of Alkali-Activated Systems Based On The Network Topology And Phase Assemblages Using Tree-Structure Computing Algorithms, Rohan Bhat, Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

Alkali-activated system is an environment-friendly, sustainable construction material utilized to replace ordinary Portland cement (OPC) that contributes to 9% of the global carbon footprint. Moreover, the alkali-activated system has exhibited superior strength at early ages and better corrosion resistance compared to OPC. The current state of analytical and machine learning models cannot produce highly reliable predictions of the compressive strength of alkali-activated systems made from different types of aluminosilicate-rich precursors owing to substantive variation in the chemical compositions and reactivity of these precursors. In this study, a random forest model with two constraints (i.e., topological network and thermodynamic constraints) is …

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Examining Metal Contents In Primary And Secondhand Aerosols Released By Electronic Cigarettes, Kashala Fabrice Kapiamba, Weixing Hao, Stephen Adom, Wenyan Liu, Yue-Wern Huang, Yang Wang Jun 2022

Examining Metal Contents In Primary And Secondhand Aerosols Released By Electronic Cigarettes, Kashala Fabrice Kapiamba, Weixing Hao, Stephen Adom, Wenyan Liu, Yue-Wern Huang, Yang Wang

Chemistry Faculty Research & Creative Works

The usage of electronic cigarettes (ECs) has surged since their invention two decades ago. However, to date, the health effects of EC aerosol exposure are still not well understood because of insufficient data on the chemical composition of EC aerosols and the corresponding evidence of health risks upon exposure. Herein, we quantified the metals in primary and secondhand aerosols generated by three brands of ECs. By combining aerosol filter sampling and inductively coupled plasma mass spectrometry (ICP-MS), we assessed the mass of metals as a function of EC flavoring, nicotine concentration, device power, puff duration, and aging of the devices. …

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Chiral Recognition Of Hydantoin Derivatives Enabled By Tetraaza Macrocyclic Chiral Solvating Agents Using 1H Nmr Spectroscopy, Jie Wen, Lei Feng, Hongmei Zhao, Li Zheng, Pericles Stavropoulos, Lin Ai, Jiaxin Zhang Jun 2022

Chiral Recognition Of Hydantoin Derivatives Enabled By Tetraaza Macrocyclic Chiral Solvating Agents Using 1H Nmr Spectroscopy, Jie Wen, Lei Feng, Hongmei Zhao, Li Zheng, Pericles Stavropoulos, Lin Ai, Jiaxin Zhang

Chemistry Faculty Research & Creative Works

Enantiomers of a series of hydantoin derivatives were prepared from d- and l-amino acids with p-tolyl isocyanate and 3,5-bis(trifluoromethyl)phenyl isocyanate as guests for chiral recognition by 1H NMR spectroscopy. Meanwhile, several tetraaza macrocyclic compounds were synthesized as chiral solvating agents from d-phenylalanine and (1S,2S)-(+)-1,2-diaminocyclohexane. An uncommon enantiomeric discrimination has been successfully established for hydantoin derivatives, representatives of five-membered N,N-heterocycles, in the presence of tetraaza macrocyclic chiral solvating agents (TAMCSAs) 1a-1c by means of 1H NMR spectroscopy. Several unprecedented nonequivalent chemical shifts (up to 1.309 ppm) were observed in the split 1H NMR spectra. To evaluate practical applications …

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Complex Rupture And Triggered Aseismic Creep During The 14 August 2021 Haiti Earthquake From Satellite Geodesy, Jeremy Maurer, R. Dutta, A. Vernon, S. Vajedian Jun 2022

Complex Rupture And Triggered Aseismic Creep During The 14 August 2021 Haiti Earthquake From Satellite Geodesy, Jeremy Maurer, R. Dutta, A. Vernon, S. Vajedian

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The 2021 August 14 MW 7.2 Nippes, Haiti earthquake occurred 75 km west of the epicenter of the 2010 Leogane earthquake (Haiti) on the transpressive Caribbean - North America plate boundary. We present an updated fault map for Hispaniola and model coseismic and early postseismic fault slip using Interferometric Synthetic Aperture Radar and pixel offsets. We find the earthquake ruptured multiple segments of the Enriquillo-Plantain Garden Fault Zone. Slip occurred in two main sub-events on either side of a restraining bend at Pic Macaya, with ∼2.7 m of peak reverse-slip east of the bend. To the west, slip jumps the …

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Characterization Of Competing Halogen- And Hydrogen-Bonding Motifs In Simple Mixed Dimers Of Hcn And Hx (X = F, Cl, Br, And I), Morgan A. Perkins, Gregory S. Tschumper Jun 2022

Characterization Of Competing Halogen- And Hydrogen-Bonding Motifs In Simple Mixed Dimers Of Hcn And Hx (X = F, Cl, Br, And I), Morgan A. Perkins, Gregory S. Tschumper

Chemistry Faculty Research & Creative Works

This work performs the first systematic comparison of hydrogen- and halogen-bonded configurations of the HCN/HX mixed dimer, where X = F, Cl, Br, and I. Eleven different minima have been characterized for these four heterogeneous dimers near the CCSD(T) complete basis set (CBS) limit. For each complex, two different hydrogen-bonded minima were identified: the global minimum where HX acts as the hydrogen bond donor and a local minimum where HX acts as the hydrogen bond acceptor. A halogen-bonded local minimum was also identified for all but the fluorine mixed dimer. To the best of our knowledge, three of the minima …

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Preparation Of Carbon Aerogels From Polymer-Cross-Linked Xerogel Powders Without Supercritical Fluid Drying And Their Application In Highly Selective Co2adsorption, Rushi U. Soni, Vaibhav A. Edlabadkar, Daniel Greenan, Parwani M. Rewatkar, Nicholas Leventis, Chariklia Sotiriou-Leventis Jun 2022

Preparation Of Carbon Aerogels From Polymer-Cross-Linked Xerogel Powders Without Supercritical Fluid Drying And Their Application In Highly Selective Co2adsorption, Rushi U. Soni, Vaibhav A. Edlabadkar, Daniel Greenan, Parwani M. Rewatkar, Nicholas Leventis, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

Carbon aerogels are well-known materials for their high porosity and high surface areas. They are typically made from pyrolysis of carbonizable polymeric aerogels. Here, we report an alternative route to monolithic carbon aerogels starting from xerogel powders. Use of powders speeds up solvent exchanges along sol-gel processing, and xerogelling bypasses the supercritical fluid drying step that is needed for making polymeric aerogels. Overall, this alternative route results in time, energy, and materials efficiency in the fabrication of carbon aerogels. Specifically, polymer-cross-linked silica xerogel powders were prepared via free-radical surface-initiated polymerization of acrylonitrile (AN) on a suspension of silica particles derived …

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Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu Jun 2022

Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious and irreversible onset. The recognition of the disease stage of AD and the administration of effective interventional treatment are important to slow down and control the progression of the disease. However, due to the unbalanced distribution of the acquired data volume, the problem that the features change inconspicuously in different disease stages of AD, and the scattered and narrow areas of the feature areas (hippocampal region, medial temporal lobe, etc.), the effective recognition of AD remains a critical unmet need. Therefore, we first employ class-balancing operation using data expansion and …

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Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu Jun 2022

Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious and irreversible onset. The recognition of the disease stage of AD and the administration of effective interventional treatment are important to slow down and control the progression of the disease. However, due to the unbalanced distribution of the acquired data volume, the problem that the features change inconspicuously in different disease stages of AD, and the scattered and narrow areas of the feature areas (hippocampal region, medial temporal lobe, etc.), the effective recognition of AD remains a critical unmet need. Therefore, we first employ class-balancing operation using data expansion and …

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Pattern Recognition For Steam Flooding Field Applications Based On Hierarchical Clustering And Principal Component Analysis, Na Zhang, Mingzhen Wei, Baojun Bai, Xiaopeng Wang, Jian Hao, Shun Jia Jun 2022

Pattern Recognition For Steam Flooding Field Applications Based On Hierarchical Clustering And Principal Component Analysis, Na Zhang, Mingzhen Wei, Baojun Bai, Xiaopeng Wang, Jian Hao, Shun Jia

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Steam flooding is a complex process that has been considered as an effective enhanced oil recovery technique in both heavy oil and light oil reservoirs. Many studies have been conducted on different sets of steam flooding projects using the conventional data analysis methods, while the implementation of machine learning algorithms to find the hidden patterns is rarely found. In this study, a hierarchical clustering algorithm (HCA) coupled with principal component analysis is used to analyze the steam flooding projects worldwide. The goal of this research is to group similar steam flooding projects into the same cluster so that valuable operational …

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Pattern Recognition For Steam Flooding Field Applications Based On Hierarchical Clustering And Principal Component Analysis, Na Zhang, Mingzhen Wei, Baojun Bai, Xiaopeng Wang, Jian Hao, Shun Jia Jun 2022

Pattern Recognition For Steam Flooding Field Applications Based On Hierarchical Clustering And Principal Component Analysis, Na Zhang, Mingzhen Wei, Baojun Bai, Xiaopeng Wang, Jian Hao, Shun Jia

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Steam flooding is a complex process that has been considered as an effective enhanced oil recovery technique in both heavy oil and light oil reservoirs. Many studies have been conducted on different sets of steam flooding projects using the conventional data analysis methods, while the implementation of machine learning algorithms to find the hidden patterns is rarely found. In this study, a hierarchical clustering algorithm (HCA) coupled with principal component analysis is used to analyze the steam flooding projects worldwide. The goal of this research is to group similar steam flooding projects into the same cluster so that valuable operational …

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Analysis Of Federated Scheduling For Integer-Valued Workloads, Marion Sudvarg, Chris Gill Jun 2022

Analysis Of Federated Scheduling For Integer-Valued Workloads, Marion Sudvarg, Chris Gill

Computer Science Faculty Research & Creative Works

In federated scheduling of parallel real-time tasks on multiprocessor systems, high-utilization tasks are allocated dedicated processors on which they execute exclusively. Several methods exist for allocating a sufficient number of processors to guarantee that each task meets its deadline. In this paper, we propose two new strategies for allocating unit-speed cores to tasks with integer workload and deadline values. The first method can be performed in constant time for each high-utilization task, given the task's total workload, critical-path length, and deadline. The second method exploits the DAG structure of high-utilization tasks, providing a potentially better schedule in pseudo-polynomial time. We …

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Synthesis, Physicochemical Characterization, And Catalytic Evaluation Of Fe3+-Containing Ssz-70 Zeolite, Christopher M. Lew, Cong Yan Chen, Gary J. Long, Fernande Grandjean, Andrew S. Ichimura, Dan Xie, Nicolás A. Grosso-Giordano, Khetpakorn Chakarawet, Howard S. Lacheen, Kurt O. Jensen, Abraham Martinez, Alexander Katz, Bi Zeng Zhan, Stacey I. Zones Jun 2022

Synthesis, Physicochemical Characterization, And Catalytic Evaluation Of Fe3+-Containing Ssz-70 Zeolite, Christopher M. Lew, Cong Yan Chen, Gary J. Long, Fernande Grandjean, Andrew S. Ichimura, Dan Xie, Nicolás A. Grosso-Giordano, Khetpakorn Chakarawet, Howard S. Lacheen, Kurt O. Jensen, Abraham Martinez, Alexander Katz, Bi Zeng Zhan, Stacey I. Zones

Chemistry Faculty Research & Creative Works

Whereas one-dimensional, 10-membered ring zeolites are typically used for hydroisomerization, Fe3+-containing SSZ-70 (Fe-SSZ-70) shows remarkable isomerization selectivity for a zeolite containing 12- and partially blocked 14-membered rings, in addition to 10-membered rings. Fe-SSZ-70 was compared to Al3+-containing SSZ-70 (Al-SSZ-70) in constraint index and n-decane hydrocracking tests. Fe-SSZ-70 exhibited a 74% total isomer yield (64% yield of monobranched isomers and 10% cracking yield) at 85% conversion compared to 49% total isomer yield (41% yield of monobranched isomers and 36% cracking yield) for Al-SSZ-70 at the same conversion. The selectivity to isomerization is attributed to the weaker acid …

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Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao Jun 2022

Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP), but also biodegradable to address current ecological challenges of electronic waste. Among different device technologies and materials, memristive synaptic devices based on natural organic materials have emerged as the favorable candidate to meet these demands. The metal-insulator-metal structure is analogous to biological synapse with low power consumption, fast switching speed and simulation of synaptic plasticity, while natural organic materials are water soluble, renewable and environmentally friendly. …

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Nonoscillatory Solutions Of Higher-Order Fractional Differential Equations, Martin Bohner, Said R. Grace, Irena Jadlovská, Nurten Kılıç Jun 2022

Nonoscillatory Solutions Of Higher-Order Fractional Differential Equations, Martin Bohner, Said R. Grace, Irena Jadlovská, Nurten Kılıç

Mathematics and Statistics Faculty Research & Creative Works

This paper deals with the asymptotic behavior of the nonoscillatory solutions of a certain forced fractional differential equations with positive and negative terms, involving the Caputo fractional derivative. The results obtained are new and generalize some known results appearing in the literature. Two examples are also provided to illustrate the results.

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Analysis Of Ibnr Liabilities With Interevent Times Depending On Claim Counts, Daniel J. Geiger, Akim Adekpedjou Jun 2022

Analysis Of Ibnr Liabilities With Interevent Times Depending On Claim Counts, Daniel J. Geiger, Akim Adekpedjou

Mathematics and Statistics Faculty Research & Creative Works

We extend a recently proposed stochastic loss reserving model for liabilities from incurred but not reported (IBNR) micro-level claims. We propose viewing the number of claims from an event as a measure of catastrophic severity. This view covers catastrophes with arbitrarily many classes of magnitude. Our Markovian model allows the time between disasters to depend on the previous event's level of severity. Simultaneously, we let the discount rate vary in the same manner. First, we find the moments of IBNR liabilities in our model. Then, we permit a later time horizon for IBNR claims when considered jointly with incurred and …

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Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu Jun 2022

Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rutting from studded tire wear is a typical pavement distress in cold climates such as that of Alaska and other northern states. Current state-of-the-art advancements in material technology and concrete pavement design have allowed for implementation of improved materials and concrete pavement sections that are more resistant to rutting. The addition of supplementary cementitious materials (SCMs) has been identified as one effective way to produce concrete pavements with better abrasion resistance. The objective of this study was to identify and develop concrete pavement mix designs containing SCMs that can provide excellent abrasion resistance and durability to address rutting from studded …

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Comparing Oranges Versus Grapes As A Metaphor Of The Nurse+Engineer, Daniel B. Oerther, Sarah Oerther Jun 2022

Comparing Oranges Versus Grapes As A Metaphor Of The Nurse+Engineer, Daniel B. Oerther, Sarah Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

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Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li Jun 2022

Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Viscosity of cement-based materials incorporating manufactured sand is affected by the content and physical properties of the microfines in the sand. However, some of the mechanisms affecting the viscosity remain unclear. This paper investigates the effect of microfine type and content on the apparent viscosity (ηapp) and residual viscosity in/near pseudo-Newtonian regime (ηrespse−New) of cement pastes. Limestone (LS), slate (ST), and tuff (TF) microfines with different specific surface areas were investigated. Test results showed that, by deducting the greater contribution of yield stress to ηapp when using finer microfines, the increase of ηrespse−New at a given PCE dosage was mainly …

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A Novel Numerical Model Of Gelant Inaccessible Pore Volume For In Situ Gel Treatment, Jianqiao Leng, Xindi Sun, Mingzhen Wei, Baojun Bai Jun 2022

A Novel Numerical Model Of Gelant Inaccessible Pore Volume For In Situ Gel Treatment, Jianqiao Leng, Xindi Sun, Mingzhen Wei, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Inaccessible pore volume (IAPV) can have an important impact on the placement of gelant during in situ gel treatment for conformance control. Previously, IAPV was considered to be a constant factor in simulators, yet it lacked dynamic characterization. This paper proposes a numerical simulation model of IAPV. The model was derived based on the theoretical hydrodynamic model of gelant molecules. The model considers both static features, such as gelant and formation properties, and dynamic features, such as gelant rheology and retention. To validate our model, we collected IAPV from 64 experiments and the results showed that our model fit moderately …

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Regularized Ridge Regression Models To Estimate Static Elastic Moduli From Wireline Measurements: Case Study From Southern Iraq, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman, Munir Aldin, Deepak Gokaraju, Andreina Guedez, Atheer M. Alattar Jun 2022

Regularized Ridge Regression Models To Estimate Static Elastic Moduli From Wireline Measurements: Case Study From Southern Iraq, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman, Munir Aldin, Deepak Gokaraju, Andreina Guedez, Atheer M. Alattar

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Elastic moduli such as Young's modulus (E), Poisson's ratio (v), and bulk modulus (K) are vital to creating geomechanical models for wellbore stability, hydraulic fracturing, sand production, etc. Due to the difficulty of obtaining core samples and performing rock testing, alternatively, wireline measurements can be used to estimate dynamic moduli. However, dynamic moduli are significantly different from elastic moduli due to many factors. In this paper, correlations for three zones (Nahr Umr shale, Zubair shale, and Zubair sandstone) located in southern Iraq were created to estimate static E, K, and ν from dynamic data. Core plugs from the aforementioned three …

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Stagnation And Tearing Of The Subducting Northwest Pacific Slab, Muchen Sun, Youqiang Yu, Stephen S. Gao, Kelly H. Liu Jun 2022

Stagnation And Tearing Of The Subducting Northwest Pacific Slab, Muchen Sun, Youqiang Yu, Stephen S. Gao, Kelly H. Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Despite numerous observational and geodynamic modeling studies, the presence of the northwest Pacific slab tear and its influence on mantle dynamics remain controversial. By imaging the mantle transition zone (MTZ) discontinuities beneath the Japan Sea and adjacent areas, we demonstrate an ESE-WNW elongated zone with significant MTZ thinning extending from central Honshu, Japan, to the Korean Peninsula, which provides additional supporting evidence for the existence and distribution of a large-scale slab tear. Our results, when combined with other geophysical and geochemical evidence, indicate that the hot mantle material oceanward of the slab may flow through the slab tear and contribute …

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Robust And Accurate Estimation Of Cellular Fraction From Tissue Omics Data Via Ensemble Deconvolution, Manqi Cai, Molin Yue, Tianmeng Chen, Jinling Liu, Erick Forno, Xinghua Lu, Timothy Billiar, Juan Celedón, Chris Mckennan, Wei Chen, Jiebiao Wang Jun 2022

Robust And Accurate Estimation Of Cellular Fraction From Tissue Omics Data Via Ensemble Deconvolution, Manqi Cai, Molin Yue, Tianmeng Chen, Jinling Liu, Erick Forno, Xinghua Lu, Timothy Billiar, Juan Celedón, Chris Mckennan, Wei Chen, Jiebiao Wang

Engineering Management and Systems Engineering Faculty Research & Creative Works

Motivation: Tissue-level omics data such as transcriptomics and epigenomics are an average across diverse cell types. To extract cell-type-specific (CTS) signals, dozens of cellular deconvolution methods have been proposed to infer cell-type fractions from tissue-level data. However, these methods produce vastly different results under various real data settings. Simulation-based benchmarking studies showed no universally best deconvolution approaches. There have been attempts of ensemble methods, but they only aggregate multiple single-cell references or reference-free deconvolution methods. Results: To achieve a robust estimation of cellular fractions, we proposed EnsDeconv (Ensemble Deconvolution), which adopts CTS robust regression to synthesize the results from 11 …

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Development And Application Of A 1d Compaction Model To Understand 65 Years Of Subsidence In The San Joaquin Valley, Matthew Lees, Rosemary Knight, Ryan G. Smith Jun 2022

Development And Application Of A 1d Compaction Model To Understand 65 Years Of Subsidence In The San Joaquin Valley, Matthew Lees, Rosemary Knight, Ryan G. Smith

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

High rates of land subsidence, caused by groundwater overdraft, are resulting in millions of dollars of infrastructure damage in California's San Joaquin Valley (SJV). In recent years, the use of interferometric synthetic aperture radar (InSAR) has enabled us to substantially improve our understanding of this subsidence. However, only very occasionally have the InSAR data been integrated with a physical model of subsurface compaction. Here, we have used InSAR and other data to parameterize and calibrate a 1D compaction model. We applied our model to a study area in the SJV where we had access to the necessary information on hydraulic …

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Parallel Higher Order Dgtd And Fetd For Transient Electromagnetic-Circuital-Thermal Co-Simulation, Huan Huan Zhang, Pan Pan Wang, Li (Lijun) Jun Jiang, Wei E.I. Sha, Mei Song Tong, Ying Liu, Wei Jun Wu, Guang Ming Shi Jun 2022

Parallel Higher Order Dgtd And Fetd For Transient Electromagnetic-Circuital-Thermal Co-Simulation, Huan Huan Zhang, Pan Pan Wang, Li (Lijun) Jun Jiang, Wei E.I. Sha, Mei Song Tong, Ying Liu, Wei Jun Wu, Guang Ming Shi

Electrical and Computer Engineering Faculty Research & Creative Works

A hybrid higher order discontinuous Galerkin time-domain (DGTD) method and finite-element time-domain (FETD) method with parallel technique is proposed for electromagnetic (EM)-circuital-thermal co-simulation in this article. For electromagnetic simulation, DGTD method with higher order hierarchical vector basis functions is used to solve Maxwell equation. Circuit simulation is carried out by modified nodal analysis method. For thermal simulation, FETD method with higher order interpolation scalar basis functions is adopted to solve heat conduction equation. To implement electromagnetic-circuital-thermal co-simulation, the electromagnetic and circuital equations are strongly coupled through voltages, currents, and electric fields at the lumped ports first. Then the electromagnetic and …

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Distributed Fiber Optic Sensing With Enhanced Sensitivity Based On Microwave-Photonic Vernier Effect, Chen Zhu, Muhammad Roman, Yiyang Zhuang, Jie Huang Jun 2022

Distributed Fiber Optic Sensing With Enhanced Sensitivity Based On Microwave-Photonic Vernier Effect, Chen Zhu, Muhammad Roman, Yiyang Zhuang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

The Vernier Effect Has Been Widely Used in the Field of Measurement and Instrumentation for Sensitivity Enhancement. Single-Point Optical Fiber Sensors based on the Vernier Effect Have Been Extensively Reported in Recent Years. in This Letter, for the First Time, a Distributed Optical Fiber Sensor based on Microwave Photonics with Improved Sensitivity Enabled by the Vernier Effect is Demonstrated. Distributed Sensing is Realized by Interrogating a Fabry–Perot Interferometer (FPI) Array Formed by Cascaded Reflectors Along an Optical Fiber using an Optical Carrier-Based Microwave Interferometry (OCMI) System. a Reference FPI is Also Included in the System. the Interferogram of Each of …

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