Article
Polymer Science
Xiaming Feng, Guoqiang Li
Summary: Novel photo-crosslinkable poly(1,4-butadiene) (PBD) based organogels with exceptional stability and high reversible elongation upon cooling (EUC) and contraction upon heating (CUH) have been developed, showing great potential in strain sensing applications.
Article
Anatomy & Morphology
Hao Zhang, Shanliang Zheng, Lina Zheng, Feng Liu, Yudian Song, Meng-Jiao Wang
Summary: This study focused on the improvement of performance of silica-filled SBR/BR blends using silane coupling agents, with experiments and SEM observations used to investigate microstructure changes during stretching.
MICROSCOPY RESEARCH AND TECHNIQUE
(2021)
Article
Chemistry, Physical
Lijia Liu, Feng Wang, Chunyu Zhang, Heng Liu, Guangfeng Wu, Xuequan Zhang
Summary: A series of high thermal stability alpha-diimine nickel and cobalt complexes were revealed in this study, suitable for high-temperature polymerization of 1,3-butadiene. Increasing temperature can enhance the yield but decrease the molecular weight and cis-1,4- content of the resultant polymers.
MOLECULAR CATALYSIS
(2022)
Article
Chemistry, Multidisciplinary
Rika Fukushima, Olivier Tardif, Shojiro Kaita, Yasuo Wakatsuki, Yukihiro Kojima, Nobuaki Koga
Summary: This paper reports a computational study on the specific 1,4-cis polymerization of butadiene catalyzed by cationic gadolinium metallocene. A novel mechanism involving the cationic Gd catalyst is proposed to explain the selective polymerization.
CHEMISTRY-AN ASIAN JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Jie Liu, Nan Zheng, Xin Min, Junhai Liu, Zhizhou Li, Xiaohui Ji
Summary: A novel two-step synthesis strategy based on a liquid neodymium phosphate ester catalyst was used to successfully synthesize diene-styrene di-block copolymers with high cis-1,4 unit content, overcoming the issue of traditional catalysts' insufficient activity. Characterization analysis confirmed that these materials exhibit good mechanical properties in harsh low temperature environments.
Article
Polymer Science
Beibei Wang, Heng Liu, Tao Tang, Xuequan Zhang
Summary: Highly cis-1,4 selective polymerization of 1,3-butadiene using specific cobalt complexes has been achieved with high thermal stability and yield. The molecular weight distribution of the resulting polymers is narrow and can be finely tuned by adjusting polymerization parameters. Additionally, the successful copolymerization with a polar monomer significantly improves the surface properties of the polymer.
Review
Construction & Building Technology
Lu Lu, Deying Zhao, Jizhou Fan, Guoqiang Li
Summary: Pavement is crucial in modern society and requires proper sealant to prevent water penetration and premature structural failure. This paper reviewed various types of sealants for cement concrete pavement and discussed new developments such as shape memory polymers used as sealants, concluding with future perspectives.
ROAD MATERIALS AND PAVEMENT DESIGN
(2022)
Article
Energy & Fuels
Abdelmjeed Mohamed, Saeed Salehi, Ramadan Ahmed, Guoqiang Li
Summary: This study investigated the rheology and annular flow of a smart lost circulation material (LCM) at 160 degrees C, by adding different concentrations of SMP particles to the base fluid. The SMP was found to be activated at high temperatures, increasing particle size for better sealing efficiency. The results show high shear-thinning behavior and excellent suspension at 1.0 wt% concentration, with potential applications for optimizing lost circulation treatment in various systems and geometries.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Siavash Sarrafan, Xiaming Feng, Guoqiang Li
Summary: Novel syntactic foams with shape memory effect were prepared by incorporating glass microbubbles into a crosslinked polymer matrix. These foams exhibited remarkable strain actuation and had superior actuation capability compared to pure polymers. With a low density and decent mechanical properties, they are potential candidates for various applications including artificial muscles and biomedical devices.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Rubaiyet Abedin, Xiaming Feng, John Pojman, Samuel Ibekwe, Patrick Mensah, Isiah Warner, Guoqiang Li
Summary: Here we report a thermoset shape memory polymer-based syntactic foam with flame retardancy, good mechanical properties, excellent shape memory effect, and 3D printability. The foam consists of a high-temperature shape memory polymer as the matrix and hollow glass microspheres as fillers. Compressive behavior, programming and recovery, stress recovery, and flame retardancy were studied. The foam shows high mechanical strength, recovery stress, and flame retardancy, and can be 3D printed.
ACS APPLIED POLYMER MATERIALS
(2022)
Article
Construction & Building Technology
Zhen Tang, Guoqiang Li, Shuang Lu, Jianpeng Wang, Lin Chi
Summary: To improve the anti-vibratory performance of building structures, materials with excellent damping properties are used. Inspired by the microstructure of shells, a bionic inorganic-organic laminated structure consisting of rice husk ash, thin layer polymer, and cement-hydrates matrix is built to enhance the damping properties of cement mortar. The test results show that the built structure effectively increases the loss tangent value of cement mortar, indicating enhanced damping properties.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Physics, Applied
Cheng Yan, Xiang Lin, Xiaming Feng, Hongyu Yang, Patrick Mensah, Guoqiang Li
Summary: Improving the fireproof performance of polymers is crucial, but the complexity of flame retardant mechanisms and customized material design pose challenges. To address this, we propose a machine learning framework based on substructure fingerprinting and self-enforcing deep neural networks (SDNN) to predict the fireproof performance of flame-retardant epoxy resins. Our model, with only 163 samples, shows accurate predictions with average errors less than 17% for limited oxygen index (LOI), peak of heat release rate (PHR), and total heat release (THR), outperforming previous models.
APPLIED PHYSICS LETTERS
(2023)
Article
Engineering, Mechanical
Adithya Challapalli, John Konlan, Guoqiang Li
Summary: This study develops an inverse design framework to design thin-walled cellular structures with desired properties using statistical tools and machine learning models. The printed thin-walled cellular structures exhibit excellent structural properties, with record high specific recovery stress.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Materials Science, Multidisciplinary
Farshid Darvishi, Omid Rahmani, Alireza Ostadrahimi, Eunsoo Choi, Guoqiang Li
Summary: The free transverse vibration behavior of coiled carbon nanotubes (CCNTs), which exhibit beating phenomenon due to longitudinal, transverse, and torsional coupled vibrations, is investigated in this paper using molecular dynamics simulations. The study finds that the frequency of CCNTs decreases with increasing length or number of pitches. The pitch angle has a more decisive role compared to other geometric parameters, and increasing it increases the frequency. The fundamental frequency range of CCNTs is obtained to be less than 331.9 GHz for lengths greater than 2 nm under different boundary conditions, indicating higher vibration sensitivity than straight carbon nanotubes.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Instruments & Instrumentation
John Konlan, Xiaming Feng, Guoqiang Li
Summary: Damage healing in fiber reinforced thermoset polymer composites can be achieved through intrinsic healing of the polymer itself or extrinsic healing by incorporating external healing agent. In this study, a hybrid extrinsic-intrinsic self-healing strategy was proposed to heal delamination in laminated thermoset polymer composites induced by low velocity impact. By using a novel vitrimer powder as the external healing agent, the laminate exhibited multifunctionalities including repeated delamination healing, excellent shape memory effect, improved toughness and impact tolerance, and decent fire-proof properties. The results showed high delamination healing efficiencies and recovery stress, indicating great potential in various engineering applications.
SMART MATERIALS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
Sakil Mahmud, John Konlan, Jenny Deicaza, Rachel Anna Schmidt, Guoqiang Li
Summary: Natural fibers have potential as renewable reinforcement, but their lower load-carrying capacity limits their application in composites. A hybrid fiber reinforcement with a gradient design was created, using carbon, glass, and natural jute fibers. The composites showed competitive mechanical properties and excellent self-healing and shape-recovery capabilities.
MATERIALS TODAY COMMUNICATIONS
(2023)
Editorial Material
Engineering, Mechanical
Chitaranjan Pany, Guoqiang Li
FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND
(2023)
Article
Agricultural Engineering
Sakil Mahmud, John Konlan, Jenny Deicaza, Guoqiang Li
Summary: Natural fibers have potential as renewable reinforcements for polymers, but their lower load-carrying capacity compared to synthetic fibers makes their use as reinforcements challenging. Hybrid composite laminates with strong synthetic glass fibers stacked over a weak natural coir fiber reinforcement have been designed, showing similar mechanical properties to samples with glass fiber reinforcement alone. These composites also possess self-healing and shape memory properties, opening new opportunities for the application of natural fibers in multifunctional load-bearing composites.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Materials Science, Composites
Obed Tetteh, Patrick Mensah, Guoqiang Li
Summary: Here, a new sandwich panel was developed using a carbon fiber grid-stiffened shape memory vitrimer (SMV) core. The panels were manufactured using dry-weaving technology and evaluated for their impact response using low-velocity impact testing. The main failure mode observed was transverse cracking of the SMV matrix in the core. The panels showed strong impact resistance and a good possibility for use in aerospace and automotive applications.
JOURNAL OF COMPOSITE MATERIALS
(2023)
Review
Automation & Control Systems
Cheng Yan, Guoqiang Li
Summary: With the rapid development of computing power and algorithms, machine learning has shown its great potential in new polymer discovery. This article provides a history of machine learning and summarizes the basic process of machine learning accelerated polymer discovery. It also reviews the four steps involved in this process, which include dataset selection, fingerprinting, machine learning framework, and new polymer generation. The challenges and future prospects in machine learning accelerated polymer discovery are discussed.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Nanoscience & Nanotechnology
Zedong Qiu, Limin Deng, Shuang Lu, Guoqiang Li, Zhen Tang
Summary: It has been recognized that incorporating Mg-Al-LDH into cement-based materials can improve their resistance to salt corrosion. The adsorption capacity of Mg-Al-LDH accelerates the setting and hardening of cement and the presence of gypsum in the cement affects its hydration degree.
REVIEWS ON ADVANCED MATERIALS SCIENCE
(2022)
