Review
Polymer Science
Gabrielle Foran, Nina Verdier, David Lepage, Cedric Malveau, Nicolas Dupre, Mickael Dolle
Summary: Solid-state NMR spectroscopy is an established experimental technique used to characterize the structural and dynamic properties of materials, including lithium and sodium-based solid electrolytes. This review discusses various solid-state NMR experiments commonly used in polymer and hybrid electrolyte systems, providing examples and discussing the strengths and weaknesses of each technique. It aims to assist in selecting appropriate solid-state NMR experiments for analyzing these systems.
Article
Chemistry, Multidisciplinary
Yun Su, Xiaohui Rong, Hong Li, Xuejie Huang, Liquan Chen, Binyuan Liu, Yong-Sheng Hu
Summary: The study introduces the concept of High-Entropy Microdomain Interlocking ASPEs (HEMI-ASPEs) by utilizing newly designed multifunctional polymer chains to create micro- and nanoscale dynamic interlocking networks with high topological structure entropy. The tailor-made HEMI-ASPEs exhibit excellent toughness, significant ionic conductivity, a considerable lithium transference number, and desirable thermal stability. These innovative materials show promising performance in all-solid-state lithium metal batteries with stable Li plating/stripping performance and high capacity retention.
ADVANCED MATERIALS
(2023)
Article
Multidisciplinary Sciences
Chunpeng Yang, Qisheng Wu, Weiqi Xie, Xin Zhang, Alexandra Brozena, Jin Zheng, Mounesha N. Garaga, Byung Hee Ko, Yimin Mao, Shuaiming He, Yue Gao, Pengbo Wang, Madhusudan Tyagi, Feng Jiao, Robert Briber, Paul Albertus, Chunsheng Wang, Steven Greenbaum, Yan-Yan Hu, Akira Isogai, Martin Winter, Kang Xu, Yue Qi, Liangbing Hu
Summary: By coordinating copper ions with cellulose nanofibrils, this study has developed a high-performance solid polymer ion conductor with molecular channels that enable rapid lithium ion transport, showing promise for safe, high-performance solid-state batteries. This molecular-channel engineering approach shows high lithium ion conductivity, high transference number, and wide electrochemical stability, with implications for applications beyond batteries.
Article
Chemistry, Multidisciplinary
Hoang Long Nguyen, Van Tung Luu, Manh Cuong Nguyen, Sung Hoon Kim, Quoc Hung Nguyen, Nungu Israel Nungu, Yun-Seok Jun, Wook Ahn
Summary: All-solid-state Li batteries (ASSLBs) are limited in their application due to their narrow operating temperature range, low ionic conductivity, poor stability, and complex production process. In this study, a simple method combining various battery candidates was employed to solve these limitations and a solid polymer electrolyte with high conductivity and excellent cycling stability was successfully prepared.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Review
Chemistry, Multidisciplinary
Yanfeng Dong, Pengchao Wen, Haodong Shi, Yan Yu, Zhong-Shuai Wu
Summary: This review systematically summarizes the recent developments in advanced sodium-based solid-state electrolytes (SSEs) for solid-state sodium metal batteries (SSMBs). The fundamental mechanisms and key parameters of SSEs are introduced, and various types of inorganic and polymer SSEs, as well as inorganic-polymer hybrid SSEs, are discussed in detail. The roles of structure optimization and interface engineering in boosting electrochemical performance in SSMBs are emphasized. The key challenges and promising prospects for advanced SSEs are briefly proposed, including interface optimization, molecular design of polymer SSEs, objective evaluation, and multiscale characterizations.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Yi-Hsuan Chen, Peter Lennartz, Kun Ling Liu, Yi-Chen Hsieh, Felix Scharf, Rayan Guerdelli, Annika Buchheit, Mariano Gruenebaum, Fabian Kempe, Martin Winter, Gunther Brunklaus
Summary: A hybrid polymer/oligomer cell design incorporating ester oligomer as an ionic conductor and a thin scaffold-supported polymer electrolyte for mechanical stability is proposed. The hybrid cells exhibit high discharge capacities and enable energy densities superior to other reported polymer-based cell designs. The environmentally benign and affordable hybrid polyester electrolytes are promising candidates for future solid-state lithium metal batteries.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Yueyue Cao, Guoqun Zhang, Jincheng Zou, Huichao Dai, Chengliang Wang
Summary: Solid-state batteries have gained significant attention in recent research due to their high safety and energy density enabled by solid-state electrolytes. Natural polysaccharide polymers, with their interaction with electrolyte salts and abundant ion transport sites, have shown potential for high ionic conductivity and sustainability in solid-state electrolytes. This review provides a summary of the recent progress in the application of natural polysaccharides and derivatives for polymer electrolytes and aims to stimulate further interest in their use in solid-state batteries.
Article
Chemistry, Multidisciplinary
Zhiyan Wang, Lin Shen, Shungui Deng, Ping Cui, Xiayin Yao
Summary: This study presents an ultrathin solid polymer electrolyte with high ionic conductance and excellent mechanical properties, showing promising stability in various battery systems, particularly in all-solid-state lithium-metal batteries.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Yilin Hu, Xiaoxin Xie, Wei Li, Qiu Huang, Hao Huang, Shu-Meng Hao, Li-Zhen Fan, Weidong Zhou
Summary: The critical challenges of lithium-ion batteries today are to improve energy densities and address safety concerns. Solid-state lithium metal batteries with solid polymer electrolytes (SPEs) have been proposed as a solution. This review summarizes and categorizes different SPEs with various electrochemical windows, discussing their compatibilities with both electrodes. The development of high-performance SPEs that can stabilize or form stable interfacial passivation layers with both cathodes and anodes is the desired candidate for future applications.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Chemistry, Physical
Shujing Wen, Chao Luo, Qingrong Wang, Zhenyao Wei, Yanxiang Zeng, Yidong Jiang, Guangzhao Zhang, Hongli Xu, Jun Wang, Chaoyang Wang, Jian Chang, Yonghong Deng
Summary: In this study, a novel ultrathin crosslinked solid polymer electrolyte (SPE) with high ion conductivities, mechanical strength, and fast interfacial charge transport was reported for flexible all-solid-state lithium batteries (ASSLBs). The SPE was synthesized by one-step in-situ crosslinked polymerization, forming a three-dimensional crosslinked polymer network that enhanced ionic conductivity and oxidation stability in the composite SPE.
ENERGY STORAGE MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Dmitri Colesnic, Pedro J. Hernando, Lise-Marie Chamoreau, Laurent Bouteiller, Mickael Menand, Matthieu Sollogoub
Summary: Regioselective di-functionalization of a cyclodextrin enables controlled orientation of hydrophobic domains, leading to a unique hierarchical assembly in the solid state. This assembly involves synergistic host-guest inclusions, directed hydrophobic effect, and hydrogen bonding, which together create a porous organic architecture.
CHEMISTRY-A EUROPEAN JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Ling Liu, Yinghui Cai, Zhikun Zhao, Chengwei Ma, Chunli Li, Daobin Mu
Summary: The study demonstrates that the fabrication of the hybrid solid electrolyte SSP allows for high ionic conductivity and good interfacial compatibility. The fast Li+ mobility and multiple Li+ transport channels in SSP contribute to its long cycling stability and excellent rate performance in batteries.
MATERIALS CHEMISTRY FRONTIERS
(2022)
Article
Multidisciplinary Sciences
Yuzhao Liu, Xiangyu Meng, Zhiyu Wang, Jieshan Qiu
Summary: The researchers propose a quasi-solid-state anode-free battery with lithium sulfide-based cathodes and non-flammable polymeric gel electrolytes, which exhibits a high energy density and improved safety features.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Xiangyu Meng, Yuzhao Liu, Yanfu Ma, Yash Boyjoo, Jian Liu, Jieshan Qiu, Zhiyu Wang
Summary: Solid-state polymer electrolytes (SPEs) have attracted great interest in the development of high-performance solid-state batteries. However, the failure mechanism of SPE and SPE-based solid-state batteries is still not well understood. This study identifies the accumulation and clogging of dead lithium polysulfides as a critical cause of failure in solid-state Li-S batteries. Electrochemistry is used to tailor the chemical environment and reduce Li-S redox failure. This work sheds new light on the failure mechanism of SPE and contributes to the improvement of solid-state Li-S batteries.
ADVANCED MATERIALS
(2023)
Review
Biochemistry & Molecular Biology
Vitaly Volkov, Alexander Chernyak, Nikita A. Slesarenko, Irina A. Avilova
Summary: This review focuses on the progress of solvation and mobility studies in solid electrolyte, particularly ion-exchange membranes and composite materials, using NMR techniques. The applications of various NMR techniques are discussed, and comparisons are made between diffusion coefficients and ionic conductivity data. The microscopic mechanism of ionic transfer is also explored.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shuyi Yang, Yida Wang, Yuxin Shi, Guang Yang, Qinqin Yan, Jie Shen, Qingle Wang, Haoling Zhang, Shan Yang, Fei Shan, Zhiyong Zhang
Summary: A radiomics nomogram was developed based on manual segmentation of different pulmonary nodules and measurement of signal intensity, nodule size, and other parameters, successfully distinguishing between malignant and benign nodules. The nomogram performed better in both the training and test sets compared to T2-based quantitative parameters.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Reproductive Biology
Tianping Wang, Haijie Wang, Yida Wang, Xuefen Liu, Lei Ling, Guofu Zhang, Guang Yang, He Zhang
Summary: This study aimed to construct and compare radiomics-clinical nomograms based on MR images for prognosis prediction in EOC. The T2WI radiomic-clinical nomogram showed a favorable prediction performance in EOC patients.
JOURNAL OF OVARIAN RESEARCH
(2022)
Article
Neurosciences
Weiwei Zhao, Yida Wang, Fangfang Zhou, Gaiying Li, Zhichao Wang, Haodong Zhong, Yang Song, Kelly M. Gillen, Yi Wang, Guang Yang, Jianqi Li
Summary: This study successfully segmented midbrain nuclei in high-resolution susceptibility maps using a convolutional neural network-based method. The automated segmentation results showed no significant differences compared to manual delineations, and the volume and magnetic susceptibility values extracted by the automated method were significantly correlated with manual tracing results.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jinbo Qi, Peipei Wang, Guohua Zhao, Eryuan Gao, Kai Zhao, Ankang Gao, Jie Bai, Huiting Zhang, Guang Yang, Yong Zhang, Xiaoyue Ma, Jingliang Cheng
Summary: This study explored the value of histogram analysis based on NODDI in differentiating between GBM and SBM, and compared the diagnostic performance of two ROI placements. The results showed that the multivariate logistic regression model based on NODDI histogram analysis had better performance than the optimal single parameter in distinguishing GBM from SBM, and the ROI placed on the whole tumor area exhibited better diagnostic performance.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ke-Wen Jiang, Yang Song, Ying Hou, Rui Zhi, Jing Zhang, Mei-Ling Bao, Hai Li, Xu Yan, Wei Xi, Cheng-Xiu Zhang, Ye-Feng Yao, Guang Yang, Yu-Dong Zhang
Summary: A study developed and tested an artificial intelligence (AI) system for diagnosing clinically significant prostate cancer (CsPC) using MRI. The AI system performed comparably or better than radiologists in both internal and external tests. Factors such as Gleason score, lesion location, PI-RADS score, and lesion size significantly impacted the accuracy of the AI system.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Ruiqi Yu, Ke-wen Jiang, Jie Bao, Ying Hou, Yinqiao Yi, Dongmei Wu, Yang Song, Chun-Hong Hu, Guang Yang, Yu-Dong Zhang
Summary: In this study, an artificial intelligence (AI)-aided Prostate Imaging Reporting and Data System (PI-RADS(AI)) was developed and validated for prostate cancer (PCa) diagnosis based on MRI. UNet-Seg and 3D-Resnet models were used to detect and segment prostate lesions, achieving an automatic AI-aided diagnosis for PCa. The results showed that PI-RADS(AI) outperformed or matched the performance of over 70% of general readers in the MRI assessment of PCa, providing diagnostic benefits to clinical practice.
BRITISH JOURNAL OF CANCER
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jia-Xiang Xin, Da-Xiu Wei, Yan Ren, Jun-Long Wang, Guang Yang, Huojun Zhang, Jianqi Li, Caixia Fu, Ye-Feng Yao
Summary: Selective probing of glutamate (Glu) and glutamine (Gln) signals in human brain in vivo is important for studying their metabolisms. Glu-/Gln- targeted pulse sequences were developed to selectively probe Glu and Gln signals. These sequences successfully separated Glu and Gln signals in healthy human brains, providing an effective method for distinguishing H-1-MR signals of Glu and Gln.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Multidisciplinary Sciences
Long Cui, Yang Song, Yida Wang, Rui Wang, Dongmei Wu, Haibin Xie, Jianqi Li, Guang Yang
Summary: This study proposes a new method to detect and remove motion artifacts in magnetic resonance images. A convolutional neural network (CNN) model is trained to filter motion-corrupted images, and the unaffected phase-encoding (PE) lines are used to reconstruct the final image using compressed sensing (CS). The results show that the proposed algorithm effectively alleviates motion artifacts.
Article
Oncology
Ziyu Le, Dongmei Wu, Xuming Chen, Lei Wang, Yi Xu, Guoqi Zhao, Chengxiu Zhang, Ying Chen, Ye Hu, Shengyu Yao, Tingfeng Chen, Jiangping Ren, Guang Yang, Yong Liu
Summary: The study aims to establish a predictive model for acute severe hematologic toxicity (HT) during radiotherapy in patients with cervical or endometrial cancer. It investigates the integration of clinical features and computed tomography (CT) radiomics features of the pelvic bone marrow (BM) to define a more precise model. The model combines clinical and radiomics features and achieves a higher area under the receiver operating characteristic curve (AUC) compared to models based on clinical or radiomics features alone. Further investigation is warranted to explore the value of pelvic BM radiomics in chemoradiotherapy-induced HT.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Neurosciences
Yida Wang, Naying He, Chunyan Zhang, Youmin Zhang, Chenglong Wang, Pei Huang, Zhijia Jin, Yan Li, Zenghui Cheng, Yu Liu, Xinhui Wang, Chen Chen, Jingliang Cheng, Fangtao Liu, Ewart Mark Haacke, Shengdi Chen, Guang Yang, Fuhua Yan
Summary: A DL-based pipeline for automatic PD diagnosis is proposed, which uses QSM and T1W images to segment deep gray matter nuclei and distinguish PD from HC. The model achieved high accuracy in segmenting brain nuclei and showed promising performance in PD diagnosis with high AUC values on both internal and external testing cohorts.
HUMAN BRAIN MAPPING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haijie Wang, Yida Wang, He Zhang, Xuan Yin, Chenglong Wang, Yuanyuan Lu, Yang Song, Hao Zhu, Guang Yang
Summary: The purpose of this study was to develop a deep learning tool for antenatal diagnosis of prenatal placenta accreta spectrum (PAS) using T2-weighted MR images. By extracting the utero-placental boundary region image, the DL model achieved an AUC of 0.860 and 0.897 in the internal test and external test cohorts, respectively, significantly outperforming three radiologists (internal test AUC, 0.737-0.770). This fully automatic DL pipeline can improve the accuracy of PAS diagnosis using MRI for radiologists.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jing Zhang, Chenao Zhan, Chenxiu Zhang, Yang Song, Xu Yan, Yihao Guo, Tao Ai, Guang Yang
Summary: The purpose of this study was to develop an automatic computer-aided diagnosis (CAD) pipeline based on multiparametric magnetic resonance imaging (mpMRI) and investigate the role of different imaging features in the classification of breast cancer. The study included 222 histopathology-confirmed breast lesions and trained a neural network-based lesion segmentation model to extract radiomics features from DWI, T2WI, and DCE parametric maps. Models based on sequence combinations achieved higher diagnostic accuracy compared to BI-RADS scores, and the joint model combining radiomics and BI-RADS scores achieved the highest accuracy.
Article
Chemistry, Inorganic & Nuclear
Mingxi Jiang, Yajuan Zhang, Zihao Yang, Haibo Li, Jinliang Li, Jiabao Li, Ting Lu, Chenglong Wang, Guang Yang, Likun Pan
Summary: Metal ion doping is an effective method to improve the electrochemical performance of metal oxide anode materials for lithium-ion batteries. Machine learning models were built to predict the charging and discharging performance of doped oxide anode materials before synthesis, saving time and resources. The study found a correlation between the electronegativity of the dopant element and the capacity performance of the material.
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingyu Zhong, Chengxiu Zhang, Yangfan Hu, Jing Zhang, Yun Liu, Liping Si, Yue Xing, Defang Ding, Jia Geng, Qiong Jiao, Huizhen Zhang, Guang Yang, Weiwu Yao
Summary: This study implemented a pipeline to automatically segment the ROI and used a nomogram integrating the MRI-based radiomics score and clinical variables to predict responses to neoadjuvant chemotherapy (NAC) in osteosarcoma patients. The results showed that this automated approach could aid radiologists in identifying pathological good responders to NAC.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ruiqi Yu, Wei Liu, Yang Song, Jing Zhang, Xiao-hang Liu, Liangping Zhou, Guang Yang
Summary: Radiomics models can be used to differentiate low and high ISUP grades of CCRCC by analyzing CT image features. The model using NCP and CMP features achieved the highest performance on the independent testing cohort.
CHINESE JOURNAL OF ACADEMIC RADIOLOGY
(2022)
Article
Polymer Science
Yuanzhang Jiang, Xuyi Wang, Yanting Han, Dakai Gong, Yingchun Gu, Lin Tan
Summary: In this study, FeCl3 and poly(acrylic acid) (PAA) were doped into waterborne polyurethanes (WPUs) to create multifunctional materials with self-healing and antimicrobial properties. WPU/Fe/PAA-5.5, containing 5.5 wt % PAA, exhibited excellent mechanical properties, strong self-healing capabilities, and an impressive antimicrobial rate of over 90%. These supramolecular films were also highly recyclable through hot-pressing.
Article
Polymer Science
Longyu Tian, Min Wang, Guangming Liao, Baoliang Liu, Sujuan Zhang, Yucheng Sun, Zhen Meng, Jintao Zhang, Zaijun Lu
Summary: Two kinds of benzoxazine monomers were synthesized and used to prepare polybenzoxazine anion exchange membranes (AEMs) with quaternary ammonium functionalization. The LQPBZ AEM exhibited better ion conductivity and alkaline stability.
Article
Polymer Science
Claire A. Lemarchand
Summary: This study investigates the shock behavior of three different polymers through molecular dynamics simulations. The results reveal specificities in the shock behavior of polymers, including deviations from the linear relation between shock velocity and particle velocity, as well as differences in shear stress relaxation behind the shock front. It is found that the deviation of the Hugoniot locus is related to the change in the relative contribution of bonding and non-bonding potential energies, while polymers with higher glass transition temperatures exhibit slower shear stress relaxation.
Article
Polymer Science
Zengquan Liu, Xiaochun Yin, He Zhang, Shuo Gao, Qinglin Kuang, Yanhong Feng
Summary: A powder solid-state extension (PSSE) technology was proposed to address the high melt viscosity issue of UHMWPE. By uniaxial extension and sintering in the solid state, a highly self-reinforced material was prepared. X-ray diffraction and scattering techniques were used to study the structural evolution during the PSSE process, and a solid-phase induced transformation model was established.
Article
Polymer Science
Zhike Li, Anyu Luo, Rui Zhou, Xin Li, Haiyan Li
Summary: A novel high temperature resistance IL@SiO2 nanocapsules were successfully prepared and their friction and wear properties in PA6 composites were studied. The addition of IL@SiO2 nanocapsules reduced the friction coefficient and wear rate without affecting the mechanical properties of PA6. The synergy between the IL core and SiO2 wall in the nanocapsules improved the self-lubricating performance of the PA6 composites.
Article
Polymer Science
Xin Liu, Xuhong Guo, Qi Liao
Summary: In this study, an algorithm for accurately estimating viscosity is developed using molecular dynamics simulations and the Green-Kubo formula. This algorithm can be applied to complex systems with long correlations, such as macromolecular and biological simulation systems.
Article
Polymer Science
Hao Pu, Yun-Lei Hou, Jing -Zhou Chen, Dong -Lin Zhao
Summary: The use of modified graphene improves the interfacial adherence of carbon fibers to epoxy resin, resulting in enhanced interfacial and bending properties of CF and matrix in CF/EP composites, as well as increased interlaminar shear strength and flexural strength.
Article
Polymer Science
Wei-Chung Ke, Jin-Wei Lin, Manohar Reddy Busireddy, Yueh-Hsing Lee, Jiun-Tai Chen, Chain-Shu Hsu
Summary: This study introduces a crosslinkable monomer, TAIC, to synthesize three crosslinked polyimide films, which exhibit improved thermal, mechanical, and dielectric properties. The introduction of TAIC enhances the tensile strength, reduces the dielectric constant and dielectric loss, and decreases the coefficient of thermal expansion of the polyimide films.
Article
Polymer Science
Alex Kwasi Kumi, Ruiling Fan, Ye Chen, Yumei Zhang
Summary: The difference in leaching of amylopectin from cellulose/amylopectin/1-butyl-3-methylimidazolium chloride ([Bmim][Cl]) blends during regeneration in water and aqueous ethanol has been studied. Molecular dynamics simulations showed that the dissolution and regeneration mechanisms of amylopectin in [Bmim][Cl] are similar to cellulose in ionic liquids. Water regeneration leads to weak electrostatic interactions, resulting in high leaching of amylopectin. In contrast, ethanol-water interactions enhance electrostatic interactions among amylopectin chains, limiting amylopectin leaching in aqueous ethanol.
Article
Polymer Science
Xi Zeng, Junwei Zhou, Junbiao Peng, Chunsheng Zhang, Danling Wang, Yihu Song, Qiang Zheng
Summary: This study utilizes an oligomer deep eutectic solvent (DES) based on polyethylene glycol to regulate the vulcanization kinetics of rubber. The results show that the DES can accelerate vulcanization at low temperatures without affecting the crosslinking density and Mullins effect.
Article
Polymer Science
Qianqian Yue, Yongfei Peng, Xingjian Liu, Aihua He, Huarong Nie
Summary: The addition of metal deactivators can effectively suppress the aging of TBIR, prolong its lifespan, and have no negative effects on its physical and processing properties. These research findings are of great importance for improving the stability and aging resistance of polymers.
Article
Polymer Science
J. Gomez-Caturla, J. Ivorra-Martinez, R. Tejada-Oliveros, V Moreno, D. Garcia-Garcia, R. Balart
Summary: This work focuses on the development of environmentally friendly PLA formulations by using different esters derived from geraniol as plasticizers. The results show that these esters have good compatibility with PLA, and they can effectively enhance the elongation and plasticity of PLA, reduce its glass transition temperature, and slightly improve its water absorption capabilities.
Article
Polymer Science
Dandan Li, Zhaohui Lu, Zhao Ke, Ke Xu, Fengna Dai, Youhai Yu, Guangtao Qian, Chunhai Chen
Summary: In this study, cross-linked PI aerogel membranes with low dielectric constant and high moisture resistance were prepared by co-polymerization and scraping coating technology. The incorporation of fluorinated blocks and benzimidazole ring structures resulted in novel PI aerogel membranes with fascinating dielectric properties and outstanding moisture resistance.
Article
Polymer Science
Zhaoyang Chu, Qing Zhang, Haihua Luo, Han Zhou, Fapei Zhang, Wei Chen, Wenhua Zhang
Summary: Multi-physical fields solution processing strategy is a universal and facile method for preparing various conjugated polymer films and high-performance devices. In this study, we employed a combined microfluidic flow and ultrasonication strategy (FU) for processing CP solutions, and found a pronounced synergetic effect in promoting the pre-ordering of chains in solution. The conformation order and anisotropy of the solution were revealed through various characterizations. A non-classical nucleation model for polymer crystallization in non-equilibrium solution processing was confirmed. The roles of microfluidic flow and ultrasonication in chain aggregation and crystallization were addressed through multi-physical simulations. Compared to pristine solutions, the FU strategy showed improved solution anisotropy and crystallization kinetics, resulting in higher crystallinity in films and increased mobilities in OFET devices. The FU processing strategy provides a universal approach for regulating chain conformation and aggregation in conjugated polymer solutions.
