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76 Matching Results
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Carrier photodynamics in 2D perovskites with solution-processed silver and graphene contacts for bendable optoelectronics
Article reporting on the inkjet printed, direct contact study of solution-processed, 2D perovskite-based photodetectors (PDs) formed on flexible PI substrates. Silver (Ag) and graphene (Gr) inks have been engineered to serve as efficient electrical contacts for solution-processed two-dimensional (2D) organo-halide (CH3(CH2)3NH3)2(CH3NH3)n−1PbnI3n+1 (n = 4) layered perovskites, where all inkjet-printed heterostructure PDs were fabricated on polyimide (PI) substrates.
Date:
March 25, 2021
Creator:
Hossain, Ridwan F.; Min, Misook; Ma, Liang-Chieh; Sakri, Shambhavi R. & Kaul, Anupama
System:
The UNT Digital Library
Black Phosphorus-Molybdenum Disulfide Hetero-Junctions Formed with Ink-Jet Printing for Potential Solar Cell Applications with Indium-Tin-Oxide
Article on the implementation of liquid exfoliation to inkjet-print two-dimensional (2D) black phosphorous (BP) and molybdenum disulfide (MoS₂) p–n heterojunctions on a standard indium tin oxide (ITO) glass substrate in a vertical architecture. The authors also compared the optical and electrical properties of the inkjet-printed BP layer with that of the MoS₂ and the electrical properties of the mechanically exfoliated MoS₂ with that of the inkjet-printed MoS₂.
Date:
May 18, 2021
Creator:
Mehta, Ravindra & Kaul, Anupama
System:
The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets
This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date:
July 8, 2021
Creator:
Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System:
The UNT Digital Library
A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.
Date:
August 10, 2021
Creator:
Harari, Yaar; Shawen, Nicholas; Mummidisetty, Chaithanya K.; Albert, Mark & Kording, Konrad P.
System:
The UNT Digital Library
Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models
This article combines machine learning (ML), finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. It also provides a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.
Date:
July 12, 2021
Creator:
Ferdousi, Sanjida; Chen, Qiyi; Soltani, Mehrzad; Zhu, Jiadeng; Cao, Pengfei; Choi, Wonbong et al.
System:
The UNT Digital Library
Co-introduction of precipitate hardening and TRIP in a TWIP high-entropy alloy using friction stir alloying
Article exploring friction stir alloying (FSA) to tune the microstructure and a composition of a TWIP high-entropy alloy by adding Ti, and thus activating site-specific deformation mechanisms that occur concomitantly in a single alloy. This approach presents a novel microstructural architecture to design alloys, an approach that combines and optimizes local compositions such that multiple deformation mechanisms can be activated to enhance engineering properties.
Date:
January 15, 2021
Creator:
Wang, Tianhao; Shukla, Shivakant; Gwalani, Bharat; Sinha, S.; Thapliyal, Saket; Frank, Michael et al.
System:
The UNT Digital Library
Electrode and electrolyte configurations for low frequency motion energy harvesting based on reverse electrowetting
This article explores various combinations of electrolyte concentrations, dielectrics, and dielectric thicknesses to generate maximum output power employing REWOD energy harvester with the objective of implementing a fully self-powered wearable sensor.
Date:
March 3, 2021
Creator:
Adhikari, Pashupati R.; Tasneem, Nishat Tarannum; Reid, Russell C. & Mahbub, Ifana
System:
The UNT Digital Library
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels
This article proposes a software framework for identifying the percentage and sources of communication non-determinism.
Date:
May 18, 2021
Creator:
Chapp, Dylan; Tan, Nigel; Bhowmick, Sanjukta & Taufer, Michela
System:
The UNT Digital Library
Influence of high heating rates on evolution of oxides on directed laser energy additively fabricated IN718
Article studying material response under dynamic short duration-high temperature oxidation.
Date:
September 1, 2021
Creator:
Mazumder, Sangram
System:
The UNT Digital Library
Macroscale Superlubricity Accomplished by Sb2O3-MSH/C Under High Temperature
Article reporting the high-temperature superlubricity phenomenon accomplished in coatings produced by burnishing powders of antimony trioxide (Sb₂O₃) and magnesium silicate hydroxide coated with carbon (MSH/C) onto the nickel superalloy substrate.
Date:
April 15, 2021
Creator:
Gao, Kai
System:
The UNT Digital Library
Protein functional module identification method combining topological features and gene expression data
Article conducting an intensive study on the problems of low recognition efficiency and noise in the overlapping structure of protein functional modules, based on topological characteristics of PPI network. Developing a protein function module recognition method ECTG based on Topological Features and Gene expression data for Protein Complex Identification. The experimental results show that the ECTG algorithm can detect protein functional modules better.
Date:
June 8, 2021
Creator:
Zhao, Zihao; Xu, Wenjun; Chen, Aiwen; Han, Yueyue; Xia, Shengrong; Xiang, ChuLei et al.
System:
The UNT Digital Library
Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial
Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
Date:
May 25, 2021
Creator:
Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri et al.
System:
The UNT Digital Library
Ion-exchange mechanisms and interfacial reaction kinetics during aqueous corrosion of sodium silicate glasses
Article on the ion-exchange and associated interfacial reaction mechanisms of silicate glasses. This work reports findings that shed light on the complex ion-exchange mechanisms during glass hydration and enables more detailed understanding of the corrosion and glass-water interactions of silicate glasses which has the potential to impact both science and technology.
Date:
April 8, 2021
Creator:
Deng, Lu; Miyatani, Katsuaki; Suehara, Michinori; Amma, Shin-ichi; Ono, Madoka; Urata, Shingo et al.
System:
The UNT Digital Library
Tribo-corrosion response of additively manufactured high-entropy alloy
Article highlighting the potential of utilizing additive manufacturing of HEAs for use in extreme environments that require a combination of tribo-corrosion resistance, mechanical durability, extended service life, and net shaping with low dimensional tolerance.
Date:
June 11, 2021
Creator:
Shittu, Jibril; Sadeghilaridjani, Maryam; Pole, M.; Muskeri, Saideep; Ren, Jie; Liu, Yanfang et al.
System:
The UNT Digital Library
First principles computation of composition dependent elastic constants of omega in titanium alloys: implications on mechanical behavior
Article on the poor mechanical properties of Ti alloys. The study shows that the elastic properties of the ω-phase can be systematically varied as a function of its composition to enhance both the ductility and strength of the Ti-alloy. Furthermore, that ω precipitates are not intrinsically embrittling and detrimental and that Ti-alloys can be created with both good ductility and strength by tailoring ω precipitates' composition instead of completely eliminating them.
Date:
June 7, 2021
Creator:
Salloom, Riyadh; Mantri, Srinivas Aditya; Banerjee, Rajarshi & Srinivasan, S. G.
System:
The UNT Digital Library
A modified random network model for P2O5–Na2O–Al2O3–SiO2 glass studied by molecular dynamics simulations
This article investigates the short- and medium-range structural features of sodium aluminosilicate glasses with various P₂O₅ (0–7 mol%) content and Al/Na ratios ranging from 0.667 to 2.000 by using molecular dynamics simulations. Based on the simulated structural information, a modified random network model for P₂O₅-bearing sodium aluminosilicate glass has been proposed, which could be useful to optimize the mobility of sodium ions and design novel functional glass compositions.
Date:
February 10, 2021
Creator:
Zhao, Yaxian; Du, Jincheng; Cao, Xin; Zhang, Chong; Xu, Gang; Qiao, Xvsheng et al.
System:
The UNT Digital Library
A simple design of mechanically robust, recyclable, and biodegradable composite films with high thermal stability and fluorescent properties
This article proposes a strategy for preparing advanced soy protein (SP)-based films by solution casting of SP and hydroxyl and primary amine-containing hyperbranched polysiloxane (HPSA). It offers a simple methodology for the design of mechanically robust, recyclable, and biodegradable composite films, which have potential applications in the fabrication of high-performance, high-transparency, and anti-counterfeiting packaging materials.
Date:
March 11, 2021
Creator:
Li, Jiongjiong; Jiang, Shuaicheng; Zhou, Ying; Li, Xiaona; Shi, Sheldon & Li, Jianzhang
System:
The UNT Digital Library
Action unit classification for facial expression recognition using active learning and SVM
Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date:
April 4, 2021
Creator:
Yao, Li; Wan, Yan & Xu, Bugao
System:
The UNT Digital Library
Bioresorbable stent to manage congenital heart defects in children
This article assembles large, pediatric-sized stents (Ø10 - Ø20 mm) from poly(L-lactide) fibers (DH-BDS) at two thicknesses, 250 µm and 300 µm. DH-BDS exhibiting hoop strength similar to metal stents and demonstrating minimal degradation and strength loss over the first year before completely disappearing within 3 to 4.5 years show promise as a pediatric interventional alternative to current strategies.
Date:
March 19, 2021
Creator:
Wright, Jamie; Nguyen, Annie; D'Souza, Nandika Anne, 1967-; Forbess, Joseph M.; Nugent, Alan; Reddy, Surenderanath R. Veeram et al.
System:
The UNT Digital Library
Branching of Titanium Nanorods
This article reports that Ti nanorod branching occurs at a low homologous temperature of 0.28 based on physical vapor deposition and characterizations using electron microscopy and X-ray diffraction. The insight into conditions for branching, together with the determination of the morphology and crystal orientation of the branches, lay the foundation for further studies of branching mechanisms and driving force.
Date:
April 22, 2021
Creator:
Yussuf, Nosirudeen Abayomi & Huang, Hanchen
System:
The UNT Digital Library
COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications
Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.
Date:
May 4, 2021
Creator:
Ding, Juncheng & Jin, Wei
System:
The UNT Digital Library
Carbon Capture Utilization for Biopolymer Foam Manufacture: Thermal, Mechanical and Acoustic Performance of PCL/PHBV CO2 Foams
This article uses PCL to blend into PBHV. Both unfoamed and foamed blends are examined. The results provide a pathway to multifunctional performance in foams of high performance biopolymers such as PBHV through harnessing the CO₂ miscibility of PCL.
Date:
July 31, 2021
Creator:
Oluwabunmi, Kayode E.; Zhao, Weihuan & D'Souza, Nandika Anne, 1967-
System:
The UNT Digital Library
Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data
This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
Date:
February 19, 2021
Creator:
Sun, Jingjing; Xu, Bugao; Lee, Jane & Freeland-Graves, Jeanne H.
System:
The UNT Digital Library
Corrosion Fatigue Characteristics of 316L Stainless Steel Fabricated by Laser Powder Bed Fusion
This article studies the corrosion and corrosion fatigue characteristics of LPBF 316L stainless steels (SS) in 3.5 wt.% NaCl solution using an electrochemical method, high cycle fatigue, and fatigue crack propagation testing.
Date:
June 29, 2021
Creator:
Gnanasekaran, Balachander; Song, Jie; Vasudevan, Vijay K. & Fu, Yao
System:
The UNT Digital Library