Article
Chemistry, Physical
Lorenza Romagnoli, Andrea D'Annibale, Elena Blundo, Atanu Patra, Antonio Polimeni, Daniele Meggiolaro, Iryna Andrusenko, Danilo Marchetti, Mauro Gemmi, Alessandro Latini
Summary: A new one-dimensional hybrid iodoplumbate with excellent thermal stability and resistance to water and oxygen is reported for the first time. It exhibits strong visible fluorescence under UV irradiation and forms an efficient light-emitting material when combined with PbI2. Extensive characterization and theoretical calculations reveal its potential for applications in light-emitting and photovoltaic devices.
CHEMISTRY OF MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Xueting Zhao, Jinshan Sun, Xinhao Cheng, Qingqing Qiu, Guangming Ma, Chunyu Jiang, Jiefeng Pan
Summary: In this study, colloidal 2D-COFs with processable membrane formation ability were synthesized and COF NF membranes with tailored properties were fabricated using a layer-by-layer assembly strategy, achieving precise sieving of dye molecules.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Myeonggeun Choe, Jin Young Koo, Ina Park, Hiroyoshi Ohtsu, Ji Hoon Shim, Hee Cheul Choi, Sarah S. Park
Summary: In this study, a conductive two-dimensional metal-organic framework (MOF) thin film was successfully synthesized using single-step all-vapor-phase chemical vapor deposition (CVD). The synthesized Cu-3(C6O6)(2) thin film showed high crystallinity with edge-on orientation. Cu-3(C6O6)(2) thin film-based microdevices were fabricated and exhibited an electrical conductivity of 92.95 S/cm. The synthesis of conductive MOF thin films by all-vapor-phase CVD offers a platform for fundamental studies on their physical properties and potential practical applications.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Lorenza Romagnoli, Andrea D'Annibale, Elena Blundo, Antonio Polimeni, Alberto Cassetta, Giuseppe Chita, Riccardo Panetta, Andrea Ciccioli, Alessandro Latini
Summary: AEPyBiI, a novel perovskite material, was synthesized with good thermal stability and environmental stability. It exhibits superior photoluminescence properties compared to common InP materials, and its simple synthesis and non-toxic composition make it a promising environmentally friendly light-emitting material.
CRYSTAL GROWTH & DESIGN
(2022)
Article
Chemistry, Inorganic & Nuclear
Liting Du, Yinchun Miao, Baishu Zheng, Mengtao Ma, Jinchi Zhang
Summary: A new honeycomb-like 2D metal-organic polyhedral framework, NJFU-5, was synthesized and characterized with high CO2 adsorption capacity and selective adsorption properties, showing superior performance in the 2D MOF family.
JOURNAL OF SOLID STATE CHEMISTRY
(2021)
Article
Chemistry, Physical
Kasra Momeni, Yanzhou Ji, Nadire Nayir, Nurruzaman Sakib, Haoyue Zhu, Shiddartha Paul, Tanushree H. Choudhury, Sara Neshani, Adri C. T. van Duin, Joan M. Redwing, Long-Qing Chen
Summary: This study developed a multiscale computational framework called the CPM model for precise control over the growth of two-dimensional materials. Experimental verification confirmed the reliability of this computational approach. The results showed that the computational method can guide the synthesis of large-area uniform two-dimensional materials via Metal-Organic Chemical Vapor Deposition (MOCVD), providing critical capabilities for fabricating electronic, optoelectronic, and quantum computing devices.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Computer Science, Artificial Intelligence
Bing Yang, Ting Liang, Jian Xiong, Chong Zhong
Summary: This study proposes an end-to-end model called DRL-UTrans that combines deep reinforcement learning, transformer layers, and a U-Net architecture for learning a single stock trading strategy. The model captures volatility trends from historical stock prices and is effective in reducing investment risk and sensing market volatility.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Chemistry, Physical
Jun Li, Zhenduo Cui, Yufeng Zheng, Xiangmei Liu, Zhaoyang Li, Hui Jiang, Shengli Zhu, Yu Zhang, Paul K. Chu, Shuilin Wu
Summary: In this work, an atomic-layer Fe2O3-modified two-dimensional (2D) porphyrinic metal-organic framework (MOF) was prepared, which exhibited a unique interfacial electron-withdrawing effect via charge transfer pathways. The photocatalytic antibacterial efficacy of 2D MOF-Fe2O3 reached up to 99.9% after light irradiation for 20 min. The study provides insight into developing highly effective photocatalysts by optimizing charge transfer pathway using electron-withdrawing modulator.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2022)
Article
Chemistry, Inorganic & Nuclear
He-Juan Li, Xiang-Yu Zhang, Kun Huang, Da-Bin Qin
Summary: A novel zinc-organic framework showed efficient activity and high selectivity for the catalytic cycloaddition of CO2 with epoxides, with mild conditions and good recyclability.
Article
Optics
Jie Zong, Xingzhi Wu, Wenfa Zhou, Yinglin Song
Summary: An ultrathin multilayer film containing PCPDTPhSO3Na and PDDA was prepared using layer-by-layer assembly technique. The growth of the film was monitored by UV-Vis absorption spectroscopy. The film exhibited excellent self-focusing effect and reverse saturable absorption properties at 400 nm.
JOURNAL OF MODERN OPTICS
(2021)
Article
Chemistry, Physical
Vahid Amani, Esmail Owla, Darioush Sharafie
Summary: Metal-organic frameworks (MOFs) have drawn attention for their potential applications in various fields, with a new pillared-layer zinc-organic framework CFU-1 synthesized and characterized for its molecular recognition of nitroaromatics. The study highlights the framework's structural features, stability, and potential for sensing nitro-analytes such as nitrobenzene and 2,4,6-trinitrotoluene.
JOURNAL OF MOLECULAR STRUCTURE
(2021)
Article
Mathematics, Applied
Xiaolei Dong
Summary: In this paper, we prove the existence and uniqueness of solutions to the 2D magnetomicropolar boundary layer equations on the half-plane using the classical bootstrap argument in an analytic framework.
BOUNDARY VALUE PROBLEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Xian Zhang, Ziyuan Feng, Tianchi Zhong, Sicheng Shen, Ruolin Zhang, Lijie Zhou, Bo Zhang, Wendong Wang
Summary: Limited by dataset size, deep learning models for medical image analysis are often difficult to train well. This paper proposes an attention-based U-Net framework to improve organ segmentation accuracy for prostate region detection. Experimental results show significant improvement compared to other approaches.
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
(2021)
Proceedings Paper
Acoustics
Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
Summary: The paper introduces the use of adversarial learning methods to bridge the gap between synthetic and real data, along with a novel ensemble-discrimination method and explicit transformation layer that significantly improve the performance of the task of multiple sound source localization. These techniques allow the model to handle data from specific microphone array layouts during training and generalize well to unseen layouts during inference.
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
(2021)
Article
Biochemical Research Methods
Xinhua Liu, Liangliang Zhang, Chunxin Cao, Jianfeng Wang, Xiaoming Sun, Jianfeng Yuan
Summary: Onion vinegar production through two-stage fermentation and semi-continuous fermentation resulted in high-quality vinegar with increased antioxidant activities.
PREPARATIVE BIOCHEMISTRY & BIOTECHNOLOGY
(2023)
Article
Chemistry, Physical
Liangliang Zhang, Tingjun Fu, Kun Ren, Yating Han, Ran Wang, Guowu Zhan, Zhong Li
Summary: This study proposes a new strategy to control the alkylation depth by regulating the methanol concentration, leading to stable production of light aromatics. By using a dual bed system and introducing part of the methanol, the toluene selectivity is reduced while the xylene and BTX selectivity are improved.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2023)
Article
Chemistry, Physical
Ya-Jie Liu, He-Fei Kang, Liang-Liang Zhang, Cai-Long Xue, Li-Jing Yuan, Xiao-Ning Hou, Lei Zhang, Zhi-Xian Gao
Summary: The non-isothermal reduction kinetics of Cu-Al spinel solid solution by hydrogen was investigated using H2 temperature-programmed reduction at different heating rates. The study found that the reduction process of the spinel Cu2+ species consisted of four stages, with different reduction mechanisms and activation energies.
CATALYSIS COMMUNICATIONS
(2023)
Review
Chemistry, Multidisciplinary
Ji Li, Jin-Yi Huang, Yu-Xuan Meng, Luyan Li, Liang-Liang Zhang, Hai-Long Jiang
Summary: Recently, Zr- and Ti-based metal-organic frameworks (MOFs) have gained increasing attention due to their ordered porous structure, large surface area, high thermal and chemical stability, and various potential applications. They are especially versatile platforms for catalysis. However, the targeted synthesis of Zr- and Ti-based MOFs, especially Ti-based MOFs, still faces challenges. This Feature Article provides an overview of the synthesis and structures of Zr- and Ti-based MOFs, highlights their catalytic uses in the past 3-5 years, and proposes future perspectives. It offers valuable insights into the advances of Zr- and Ti-based MOFs and their catalytic applications.
CHEMICAL COMMUNICATIONS
(2023)
Article
Engineering, Chemical
Tingjun Fu, Chuntao Cao, Liangliang Zhang, Li Zhang, Qian Ma, Zhenjun Xu, Ran Wang, Han Li, Zhong Li
Summary: The development of stable and selective ZSM-5 catalysts for methanol aromatization is challenging. However, by preliminary steam treatment before Zn introduction, highly stable aromatization on ZSM-5 can be demonstrated. The steam treatment decreases acid density and increases Al-Lewis acid sites (Al-LAS) at the expense of Bronsted acid sites (BAS), resulting in increased aromatization activity and maintained lifetime.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Chemistry, Analytical
Qi Zou, Chao Li, Zhengjiang Ding, Zhongyi Bao, Tao Zhang, Qibin Zhang, Liangliang Zhang, Yunfeng Bi
Summary: In this study, an experimental system for lateral collection of spectra with sample temperature control was built to investigate the influence of matrix temperature on the LIBS signal of Au. The experimental results showed that increasing the matrix temperature significantly improved the LIBS signal intensity and signal repeatability. The theoretical calculations supported that the signal quality improvement was due to the increase in ablation and electron density through the increase in matrix temperature.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
(2023)
Article
Chemistry, Multidisciplinary
Liangliang Zhang, Yumeng Liu, Tao Wang, Zhilin Liu, Wei Li, Zhen-An Qiao
Summary: Two-dimensional mesoporous polymers, with the combination of organic polymers, porous materials, and 2D materials, have attracted great attention due to their potential applications in adsorption, catalysis, and energy storage. In this study, a facile multi-dimensional molecular self-assembly strategy was developed for the synthesis of 2D mesoporous polydiaminopyridines (MPDAPs) with tunable pore sizes and high N content. The resulting 2D MPDAPs exhibited excellent catalytic performance and could be transformed into N-doped mesoporous carbon with high CO2 uptake density.
Article
Materials Science, Paper & Wood
Jiamin Wang, Liangliang Zhang, Tiantian Yang, Jinzhen Cao
Summary: A ternary treatment system composed of disodium octaborate tetrahydrate (DOT), furfuryl alcohol (FA), and polyvinyl alcohol (PVA) is proposed in this study to improve the leaching resistance, decay resistance, termite resistance, and dimensional stability of wood.
WOOD MATERIAL SCIENCE & ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Yali Liu, Yuenan Zheng, Danyang Feng, Liangliang Zhang, Ling Zhang, Xiaowei Song, Zhen-An Qiao
Summary: The study found that mesoporous Co3O4 catalyst exhibited excellent catalytic activity for the selective oxidation of aromatic alkanes, particularly the conversion of ethylbenzene to acetophenone with a conversion rate of 42% and a selectivity of 90% at 120 degrees Celsius. Furthermore, it was discovered that mCo(3)O(4) followed a unique catalytic pathway of direct oxidation from aromatic alkanes to aromatic ketones, as opposed to the conventional stepwise oxidation to alcohols and then to ketones. This implied that mCo(3)O(4) had a higher kinetic favorability for the direct oxidation of ethylbenzene to acetophenone compared to non-selective oxidation on commercial Co3O4.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Multidisciplinary
Xuelian Xin, Yanjiao Jing, Panpan Li, Xian Zhang, Ji Li, Linsen Li, Liangliang Zhang
Summary: An imidazole-functionalized MOF, HBU-168, has been synthesized and has shown excellent optical sensing properties for nitroaromatic compounds and metal ions. It exhibits a distinct red shift in the presence of picric acid, making it a promising fluorescent sensor.
CRYSTAL GROWTH & DESIGN
(2023)
Article
Agricultural Engineering
Chenhui Zhang, Liangliang Zhang, Fuyu Yang, Yong Xu
Summary: Acorn nut flour (ANF) is a viable non-food starchy feedstock for fermentation industries in China, but its tannin content inhibits the enzyme proteins involved in the hydrolysis of starch. Experiments showed a significant decline in enzymatic hydrolysis of ANF compared to corn and potato starch. This decline was resolved by removing tannin or increasing α-amylase loading. Bovine serum albumin and milk protein successfully substituted α-amylase and improved glucose yield.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Chemistry, Multidisciplinary
Hui-Hui He, Jiang-Pei Yuan, Pei-Yu Cai, Kun-Yu Wang, Liang Feng, Angelo Kirchon, Ji Li, Liang-Liang Zhang, Hong-Cai Zhou, Yu Fang
Summary: One of the challenges in multicomponent metal-organic frameworks (MOFs) is to achieve selective product formation by finely tuning their active centers. In this study, a technique called cluster labilization was used to create hierarchically porous MOF composites with hollow structures and adjustable active centers. By partially replacing zirconium with cerium in the hexanuclear clusters of UiO-66, unevenly distributed yolk-shell structures (YSS) were formed, which can be further transformed into single-shell hollow structures (SSHS) or double-shell hollow structures (DSHS) through acid treatment or annealing. These structures exhibit tunable catalytic activity, reversed selectivity, and high stability in tandem reactions and photoreactions.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Physical
Liangliang Zhang, Tingjun Fu, Yating Han, Ran Wang, Zhong Li
Summary: This study investigated the inter-catalytic behavior of mixed ZSM-5 with different acid configurations. Multiple reactions of hydrocarbon intermediates were observed between ZSM-5 grains. By adjusting the SiO2/Al2O3 ratio of ZSM-5, heavy aromatic de-alkylation could be significantly promoted while external coke deposition was inhibited. This work helps to clarify the catalytic behavior of acidic molecular sieve catalysts and provides an effective path to improve catalytic performance through configuration of different molecular sieve catalysts.
Article
Chemistry, Multidisciplinary
Qi Wang, Jiawei Liu, Xinmin Zhang, Youguang Tang, Yanwei Xiong, Liangliang Zhang, Tangxin Xiao, Quli Fan
Summary: A D-D'-A-D' type photoactive oligomer (O-BT) based nanoparticles (NPs) with high extinction coefficient, excellent hyperthermia generation ability, satisfactory NIR-II fluorescence emission, and good batch-to-batch reproducibility were prepared for high-efficiency phototheranostics in photothermal therapy and NIR-II fluorescence imaging.
CHEMICAL COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Hu Zhang, Liangliang Zhang
Summary: With the rapid development of intelligent computing technologies, the research attention on smart agricultural systems has been increasing. This paper introduces the idea of big data fusion and proposes a reliable data-driven control method for planting temperature in smart agricultural systems. The proposed framework shows promising results in controlling temperature for yam planting through data fusion.
