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Articles 1 - 13 of 13
Full-Text Articles in Engineering
Intrinsically Stretchable Three Primary Light-Emitting Films Enabled By Elastomer Blend For Polymer Light-Emitting Diodes, Min Woo Jeong, Jin Hyun Ma, Jae Sung Shin, Jun Su Kim, Guorong Ma, Tae Uk Nam, Xiaodan Gu, Seong Jun Kang, Jin Young Oh
Intrinsically Stretchable Three Primary Light-Emitting Films Enabled By Elastomer Blend For Polymer Light-Emitting Diodes, Min Woo Jeong, Jin Hyun Ma, Jae Sung Shin, Jun Su Kim, Guorong Ma, Tae Uk Nam, Xiaodan Gu, Seong Jun Kang, Jin Young Oh
Faculty Publications
Intrinsically stretchable light-emitting materials are crucial for skin-like wearable displays; however, their color range has been limited to green-like yellow lights owing to the restricted stretchable light-emitting materials (super yellow series materials). To develop skin-like full-color displays, three intrinsically stretchable primary light-emitting materials [red, green, and blue (RGB)] are essential. In this study, we report three highly stretchable primary light-emitting films made from a polymer blend of conventional RGB light-emitting polymers and a nonpolar elastomer. The blend films consist of multidimensional nanodomains of light-emitting polymers that are interconnected in an elastomer matrix for efficient light-emitting under strain. The RGB blend …
Machine Learning Prediction Of Glass Transition Temperature Of Conjugated Polymers From Chemical Structure, Amirhadi Alesadi, Zhiqiang Cao, Zhaofan Li, Song Zhang, Haoyu Zhao, Xiaodan Gu, Wenjie Xia
Machine Learning Prediction Of Glass Transition Temperature Of Conjugated Polymers From Chemical Structure, Amirhadi Alesadi, Zhiqiang Cao, Zhaofan Li, Song Zhang, Haoyu Zhao, Xiaodan Gu, Wenjie Xia
Faculty Publications
Predicting the glass transition temperature (Tg) is of critical importance as it governs the thermomechanical performance of conjugated polymers (CPs). Here, we report a predictive modeling framework to predict Tg of CPs through the integration of machine learning (ML), molecular dynamics (MD) simulations, and experiments. With 154 Tg data collected, an ML model is developed by taking simplified “geometry” of six chemical building blocks as molecular features, where side-chain fraction, isolated rings, fused rings, and bridged rings features are identified as the dominant ones for Tg. MD simulations further unravel the fundamental roles …
Approaching Disorder-Tolerant Semiconducting Polymers, Xinwen Yan, Miao Xiong, Xin Yu Deng, Kai Kai Liu, Jia Tong Li, Xue Qing Wang, Song Zhang, Nathaniel Prine, Zhuoqiong Zhang, Wanying Huang, Yishan Wang, Jie Yu Wang, Xiaodan Gu, Shu Kong So, Jia Zhu, Ting Lei
Approaching Disorder-Tolerant Semiconducting Polymers, Xinwen Yan, Miao Xiong, Xin Yu Deng, Kai Kai Liu, Jia Tong Li, Xue Qing Wang, Song Zhang, Nathaniel Prine, Zhuoqiong Zhang, Wanying Huang, Yishan Wang, Jie Yu Wang, Xiaodan Gu, Shu Kong So, Jia Zhu, Ting Lei
Faculty Publications
Doping has been widely used to control the charge carrier concentration in organic semiconductors. However, in conjugated polymers, n-doping is often limited by the tradeoff between doping efficiency and charge carrier mobilities, since dopants often randomly distribute within polymers, leading to significant structural and energetic disorder. Here, we screen a large number of polymer building block combinations and explore the possibility of designing n-type conjugated polymers with good tolerance to dopant-induced disorder. We show that a carefully designed conjugated polymer with a single dominant planar backbone conformation, high torsional barrier at each dihedral angle, and zigzag backbone curvature is highly …
Improving Tolerance Control On Modular Construction Project With 3d Laser Scanning And Bim: A Case Study Of Removable Floodwall Project, Huimin Li, Chengyi Zhang, Siyuan Song, Sevilay Demirkesen, Ruidong Chang
Improving Tolerance Control On Modular Construction Project With 3d Laser Scanning And Bim: A Case Study Of Removable Floodwall Project, Huimin Li, Chengyi Zhang, Siyuan Song, Sevilay Demirkesen, Ruidong Chang
Faculty Publications
Quality control is essential to a successful modular construction project and should be enhanced throughout the project from design to construction and installation. The current methods for analyzing the assembly quality of a removable floodwall heavily rely on manual inspection and contact-type measurements, which are time-consuming and costly. This study presents a systematic and practical approach to improve quality control of the prefabricated modular construction projects by integrating building information modeling (BIM) with three-dimensional (3D) laser scanning technology. The study starts with a thorough literature review of current quality control methods in modular construction. Firstly, the critical quality control procedure …
Noise And Detectivity Limits In Organic Shortwave Infrared Photodiodes With Low Disorder, Zhenghui Wu, Ning Li, Naresh Eedugurala, Jason D. Azoulay, Dong Seok Leem, Tse Nga Ng
Noise And Detectivity Limits In Organic Shortwave Infrared Photodiodes With Low Disorder, Zhenghui Wu, Ning Li, Naresh Eedugurala, Jason D. Azoulay, Dong Seok Leem, Tse Nga Ng
Faculty Publications
© 2020, The Author(s). To achieve high detectivity in infrared detectors, it is critical to reduce the device noise. However, for non-crystalline semiconductors, an essential framework is missing to understand and predict the effects of disorder on the dark current. This report presents experimental and modeling studies on the noise current in exemplar organic bulk heterojunction photodiodes, with 10 donor–acceptor combinations spanning wavelength between 800 and 1600 nm. A significant reduction of the noise and higher detectivity were found in devices using non-fullerene acceptors (NFAs) in comparison to those using fullerene derivatives. The low noise in NFA blends was attributed …
Tacky Elastomers To Enable Tear-Resistant And Autonomous Self-Healing Semiconductor Composites, Song Zhang, Yu-Hsuan Cheng, Luke Galuska, Anirban Roy, Matthias Lorenz, Beibei Chen, Shaochuan Luo, Yen-Ting Li, Chih-Chien Hung, Zhiyuan Qian, Peter Blake Joseph St. Onge, Gage T. Mason, Lewis Cowen, Dongshan Zhou, Sergei I. Nazarenko, Robson F. Storey, Bob C. Schroeder, Simon Rondeau-Gagné, Yu-Cheng Chiu, Xiaodan Gu
Tacky Elastomers To Enable Tear-Resistant And Autonomous Self-Healing Semiconductor Composites, Song Zhang, Yu-Hsuan Cheng, Luke Galuska, Anirban Roy, Matthias Lorenz, Beibei Chen, Shaochuan Luo, Yen-Ting Li, Chih-Chien Hung, Zhiyuan Qian, Peter Blake Joseph St. Onge, Gage T. Mason, Lewis Cowen, Dongshan Zhou, Sergei I. Nazarenko, Robson F. Storey, Bob C. Schroeder, Simon Rondeau-Gagné, Yu-Cheng Chiu, Xiaodan Gu
Faculty Publications
Mechanical failure of π-conjugated polymer thin films is unavoidable under cyclic loading conditions, due to intrinsic defects and poor resistance to crack propagation. Here, the first tear-resistant and room-temperature self-healable semiconducting composite is presented, consisting of conjugated polymers and butyl rubber elastomers. This new composite displays both a record-low elastic modulus (
Improving Construction Work Zone Safety Using Technology: A Systematic Review Of Applicable Technologies, Chukwuma Nnaji, John Gambatese, Hyun Woo Lee, Fan Zhang
Improving Construction Work Zone Safety Using Technology: A Systematic Review Of Applicable Technologies, Chukwuma Nnaji, John Gambatese, Hyun Woo Lee, Fan Zhang
Faculty Publications
© 2019 The Authors Once considered conventional, the construction industry is gradually increasing its reliance on innovations such as the application of technologies in safety management. Given the growing literature on technology applications in safety management and the varying opinions on the utility of applied technologies, a systematic review that streamlines findings from past studies is indispensable to construction stakeholders. Although a number of review studies are available in the building construction sector, the level of fragmentation and uniqueness within the construction industry necessitates a review study specifically targeting the heavy civil sector. In response, the present study applies a …
Metrics For Assessing Overall Performance Of Inland Waterway Ports: A Bayesian Network Based Approach, Niamat Ullah Ibne Hossain, Farjana Nur, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, Stephen M. Puryear, Randy K. Buchanan
Metrics For Assessing Overall Performance Of Inland Waterway Ports: A Bayesian Network Based Approach, Niamat Ullah Ibne Hossain, Farjana Nur, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, Stephen M. Puryear, Randy K. Buchanan
Faculty Publications
Because ports are considered to be the heart of the maritime transportation system, thereby assessing port performance is necessary for a nation’s development and economic success. This study proposes a novel metric, namely, “port performance index (PPI)”, to determine the overall performance and utilization of inland waterway ports based on six criteria, port facility, port availability, port economics, port service, port connectivity, and port environment. Unlike existing literature, which mainly ranks ports based on quantitative factors, this study utilizes a Bayesian Network (BN) model that focuses on both quantitative and qualitative factors to rank a port. The …
Fuzzy Multicriteria Decision-Making Model For Time-Cost-Risk Trade-Off Optimization In Construction Projects, M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song
Fuzzy Multicriteria Decision-Making Model For Time-Cost-Risk Trade-Off Optimization In Construction Projects, M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song
Faculty Publications
As is often the case in project scheduling, when the project duration is shortened to decrease total cost, the total float is lost resulting in added critical or nearly critical activities. This, in turn, results in decreasing the probability of completing the project on time and increases the risk of schedule delays. To solve this problem, this research developed a fuzzy multicriteria decision-making (FMCDM) model. The objective of this model is to help project managers improve their decisions regarding time-cost-risk trade-offs (TCRTO) in construction projects. In this model, an optimization algorithm based on fuzzy logic and analytic hierarchy process (AHP) …
High Temperature Proton Exchange Membranes With Enhanced Proton Conductivities At Low Humidity And High Temperature Based On Polymer Blends And Block Copolymers Of Poly(1,3-Cyclohexadiene) And Poly(Ethylene Glycol), Shawn Deng, Mohammad K. Hassan, Amol Nalawade, Kelly A. Perry, Karren L. More, Kenneth A. Mauritz, Marshall T. Mcdonnell, David J. Keffer, Jimmy W. Mays
High Temperature Proton Exchange Membranes With Enhanced Proton Conductivities At Low Humidity And High Temperature Based On Polymer Blends And Block Copolymers Of Poly(1,3-Cyclohexadiene) And Poly(Ethylene Glycol), Shawn Deng, Mohammad K. Hassan, Amol Nalawade, Kelly A. Perry, Karren L. More, Kenneth A. Mauritz, Marshall T. Mcdonnell, David J. Keffer, Jimmy W. Mays
Faculty Publications
Hot (at 120 °C) and dry (20% relative humidity) operating conditions benefit fuel cell designs based on proton exchange membranes (PEMs) and hydrogen due to simplified system design and increasing tolerance to fuel impurities. Presented are preparation, partial characterization, and multi-scale modeling of such PEMs based on cross-linked, sulfonated poly(1,3-cyclohexadiene) (xsPCHD) blends and block copolymers with poly(ethylene glycol) (PEG). These low cost materials have proton conductivities 18 times that of current industry standard Nafion at hot, dry operating conditions. Among the membranes studied, the blend xsPCHD-PEG PEM displayed the highest proton conductivity, which exhibits a morphology with higher connectivity of …
Hydrocarbon-Based Fuel Cell Membranes: Sulfonated Crosslinked Poly(1,3-Cyclohexadiene) Membranes For High Temperature Polymer Electrolyte Fuel Cells, Suxiang Deng, Mohammad K. Hassan, Kenneth A. Mauritz, Jimmy W. Mays
Hydrocarbon-Based Fuel Cell Membranes: Sulfonated Crosslinked Poly(1,3-Cyclohexadiene) Membranes For High Temperature Polymer Electrolyte Fuel Cells, Suxiang Deng, Mohammad K. Hassan, Kenneth A. Mauritz, Jimmy W. Mays
Faculty Publications
High temperature fuel cell membranes based on poly(1,3-cyclohexadiene) were prepared by a Polymerization-Crosslinking-Sulfonation (PCS) approach, and a broad range of membrane compositions were achieved using various sulfonating reagents and reaction conditions. Membranes were characterized for their proton conductivity and thermal degradation behavior. Some of the membranes showed up to a 68% increase in proton conductivity as compared to Nafion under the same conditions (100% relative humidity and 120 °C). Thermogravimetric analysis revealed that these membranes are thermally stable up to 200 °C. High proton conductivity and thermal stability, combined with much lower cost as compared to Nafion®, make these materials …
Morphology And Magnetic Properties Of Sulfonated Poly[Styrene-(Ethylene/Butylene)-Styrene]/Iron Oxide Composites, Sateesh K. Peddini, Huy N. Pham, Leonard Spinu, James L. Weston, David E. Nikles, Kenneth A. Mauritz
Morphology And Magnetic Properties Of Sulfonated Poly[Styrene-(Ethylene/Butylene)-Styrene]/Iron Oxide Composites, Sateesh K. Peddini, Huy N. Pham, Leonard Spinu, James L. Weston, David E. Nikles, Kenneth A. Mauritz
Faculty Publications
α-Fe2O3 structures were initiated in the sulfonated polystyrene block domains of poly[styrene–(ethylene/butylene)–styrene] (SEBS) block copolymers via a domain-targeted in-situ chemical precipitation method. The crystal structure of these particles was determined using wide-angle X-ray diffraction and selected area electron diffraction using a transmission electron microscope (TEM). TEM revealed that for less sulfonated SEBS (10 mole%), nanoparticles were aggregated with aggregate size range of 100–150 nm whereas for high sulfonation (16 and 20 mole% sSEBS) there were needle-like structures with length and width of 200–250 nm and 50 nm, respectively. Dynamic mechanical analyses suggest that initial iron oxide nanoparticle …
Quaternary Ammonium Silane-Functionalized, Methacrylate Resin Composition With Antimicrobial Activities And Self-Repair Potential, Shi-Qiang Gong, Li-Na Niu, Lisa K. Kemp, Cynthia K.Y. Yiu, Heonjune Ryou, Yi-Pin Qi, John D. Blizzard, Sergey Nikonov, Martha G. Brackett, Regina L.W. Messer, Christine D. Wu, Jing Mao, L. Bryan Brister, Frederick A. Rueggeberg, Dwayne D. Arola, David H. Pashley, Franklin R. Tay
Quaternary Ammonium Silane-Functionalized, Methacrylate Resin Composition With Antimicrobial Activities And Self-Repair Potential, Shi-Qiang Gong, Li-Na Niu, Lisa K. Kemp, Cynthia K.Y. Yiu, Heonjune Ryou, Yi-Pin Qi, John D. Blizzard, Sergey Nikonov, Martha G. Brackett, Regina L.W. Messer, Christine D. Wu, Jing Mao, L. Bryan Brister, Frederick A. Rueggeberg, Dwayne D. Arola, David H. Pashley, Franklin R. Tay
Faculty Publications
The design of antimicrobial polymers to address healthcare issues and minimize environmental problems is an important endeavor with both fundamental and practical implications. Quaternary ammonium silane-functionalized methacrylate (QAMS) represents an example of antimicrobial macromonomers synthesized by a sol–gel chemical route; these compounds possess flexible Si–O–Si bonds. In present work, a partially hydrolyzed QAMS co-polymerized with 2,2-[4(2-hydroxy 3-methacryloxypropoxy)-phenyl]propane is introduced. This methacrylate resin was shown to possess desirable mechanical properties with both a high degree of conversion and minimal polymerization shrinkage. The kill-on-contact microbiocidal activities of this resin were demonstrated using single-species biofilms of Streptococcus mutans (ATCC 36558), Actinomyces naeslundii (ATCC …