A5014234586- Supramolecular Self-Assembly in Materials
- Supramolecular Chemistry and Complexes
- Fluid Dynamics and Heat Transfer
- Aerosol Filtration and Electrostatic Precipitation
- Radiation Detection and Scintillator Technologies
- Advancements in Solid Oxide Fuel Cells
- Metal-Organic Frameworks: Synthesis and Applications
- Luminescence and Fluorescent Materials
- Nuclear Physics and Applications
- Boron and Carbon Nanomaterials Research
- MXene and MAX Phase Materials
- Surface Modification and Superhydrophobicity
- Electric Vehicles and Infrastructure
- Nuclear materials and radiation effects
- Smart Agriculture and AI
- Electronic and Structural Properties of Oxides
- Advanced Battery Technologies Research
- Dendrimers and Hyperbranched Polymers
- Magnetic and transport properties of perovskites and related materials
- Advanced Chemical Sensor Technologies
- Molecular Sensors and Ion Detection
- Atomic and Subatomic Physics Research
- Advanced Sensor and Control Systems
- Advanced ceramic materials synthesis
- Robotic Path Planning Algorithms
Guilin University of Technology
2021-2025
Advanced Materials and Devices (United States)
2024
China Agricultural University
2023-2024
Northwestern Polytechnical University
2018-2024
Xijing University
2024
Shaanxi University of Chinese Medicine
2023-2024
General Research Institute for Nonferrous Metals (China)
2024
Northeast Agricultural University
2024
Chongqing Jiaotong University
2023-2024
China Three Gorges University
2023
Emotion recognition and monitoring based on commonly used wearable devices can play an important role in psychological health human-computer interaction. However, the existing methods cannot rely common smart bracelets or watches for emotion daily life. To address this issue, our study proposes a method emotional using heart rate data from bracelet. A ‘neutral + target’ pair stimulation experimental paradigm was presented, dataset of 25 subjects established, where neutral plus target...
Aluminum oxide (Al<sub>2</sub>O<sub>3</sub>) ceramics have been widely utilized as circuit substrates owing to their exceptional performance. In this study, boron nitride microribbon (BNMR)/Al<sub>2</sub>O<sub>3</sub> composite are prepared using spark plasma sintering (SPS). This study examines the effect of varying amount toughened phase BNMR on density, mechanical properties, dielectric constant, and thermal conductivity BNMR/Al<sub>2</sub>O<sub>3</sub> ceramics, while also exploring...
In recent years, aiming to reduce the metropolitan air pollution caused by fossil fuel-powered vehicles, electrification of transportation, such as electric vehicles (EVs) and buses (EBs), has attracted great attention from automobile industry, academia, public transportation. EBs, driven decarbonized electricity, can noise level. Besides, they also recover electricity regenerative braking. Recent years have witnessed continuous works on topics EB energy storage, power management, charging...
Hierarchical self-assembly of Pt(II) metallacycles for the construction functional materials has received considerable research interest, owing to their potential meet increasing complexity and functionality demands while being based on well-defined scaffolds. However, fabrication long-range-ordered metallacycle-based two-dimensional hierarchical self-assemblies (2D HSAs) remains a challenge, primarily because limitations conventional orthogonal noncovalent interaction (NCI) motifs intrinsic...
Despite the widespread clinical application of chemotherapeutic anticancer drugs, their adverse side effects and inefficient performances remain ongoing issues. A drug delivery system (DDS) designed for a specific cancer may therefore overcome drawbacks single drugs provide precise synergistical treatment by introducing exclusive stimulus responsiveness combined chemotherapy properties. Herein, we report design synthesis supramolecular assembly 1 constructed orthogonal self-assembly...
The phenomenon of polymorphism is ubiquitous in nature, the controlled manipulation which not only increases our ontological understanding nature but also facilitates conceptualization and realization novel functional materials. However, achieving targeted supramolecular assemblies (SAs) remains a formidable challenge, largely because constraints inherent controlling specific binding motifs noncovalent interactions. Herein, we propose self-adaptive aromatic cation-π to construct polymorphic...
The undoped K2ZnV2O7 material has a melilite-like structure, with the K+ ions distributed orderly on two distinguishable crystallographic sites, which is main difference case in typical A2B3O7 melilite where A site cations occupy only one position. Herein, we report that substitution of Ga for Zn would induce ions' order-to-disorder transition and transform from structure to phase, coupled significantly enhanced oxide ion conductivity, e.g. ∼1.01 × 10–1 S/cm at 600 °C K2Zn0.7Ga0.3V2O7.15...
The dianthracene-based rhomboidal organoplatinum(II) metallacycle 1 was successfully obtained via coordination-driven self-assembly involving the combination of diplatinum(II) acceptor 2 and dipyridyl donor 3. A dilute acetone solution prepared exhibited temperature-responsive fluorescence a gradual red-shifted fluorescent change from cyan to yellow over wide temperature range 77 297 K. Notably, linear correlation observed between emission maximum in low-temperature region 137 Additionally,...
Abstract Heat dissipation of electronic devices was an urgent problem to be addressed. In this paper, magnesium borate whiskers were used as the template for preparation boron nitride submicron tube (BNST). Then polymer‐free supported three‐dimensional skeleton prepared by sacrificing material ammonia bicarbonate. Finally, high thermal conductivity tube/epoxy resin (BNST/EP) composites infiltrating technique. The phase, chemical composition, microstructure, conductivity, and stability...
Series of Ca 2+ ion‐doped high‐entropy [(La 0.25 Nd Sm Eu ) 1− x ] 2 Zr O 7− δ ( = 0.025, 0.05, 0.075, 0.1, and 0.2) materials are prepared through a traditional solid‐state reaction method. The solubility is revealed to be which higher than that in the cases with single lanthanide on A‐site A 7 ‐based pyrochlore materials. study electrical properties discloses conductivities increased Ca‐doping level dominated by oxide ion conduction, without noticeable proton conduction. Good chemical...
Abstract Fluorescent supramolecular polymers are an important kind of smart material. In this work, a new fluorescent hyperbranched polymer (FSHP) is constructed by orthogonal self‐assembly: pillararene‐based host–guest interaction and metal ion complexation interaction. The FSHP exhibits concentration‐controllable fluorescence emissions. photoluminescence spectra light‐emitting colors can be effectively tuned changing types or using mixed ions. quenching solutions FSHP‐based films would...
Supramolecular drug self-delivery systems (SDSDSs) involving active drugs as building blocks linked by supramolecular interactions have been well defined an advanced chemotherapy strategy. However, the lack of detecting release from SDSDSs at specific tumor sites inevitably leads to unsatisfactory therapeutic effects, owing information regarding administration these drugs. In this work, predesigned platinum-containing nanomicelles (SDSDNMs) were employed synchronously realize monitoring...
The La1–xBa1+xGaO4–0.5x (x ≤ 0.2) materials were previously reported to be proton conductors, but the relatively low conductivity, e.g., ∼4.0 × 10–4 S/cm at 600 °C, hindered their further practical applications. Herein, we show that lithium substitution for gallium could significantly improve ∼1.12 10–3–6.38 10–3 over 350–600 which was more than one order of magnitude higher and comparable state-of-the-art BaCeO3-based materials. Such improved conductivities attributed obviously oxygen...
Complex plasma widely exists in thin film deposition, material surface modification, and waste gas treatment industrial processes. During complex discharge, the configuration, distribution, size of particles, as well discharge glow, strongly depend on parameters. However, traditional manual diagnosis methods for recognizing parameters from images are complicated to operate with low accuracy, time-consuming high requirement instruments. To solve these problems, by combining two mechanisms...