A5100599483- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Battery Technologies Research
- Power Transformer Diagnostics and Insulation
- Multimodal Machine Learning Applications
- Chemical Synthesis and Analysis
- Advanced Polymer Synthesis and Characterization
- Robotics and Sensor-Based Localization
- Conducting polymers and applications
- Synthetic Organic Chemistry Methods
- Speech Recognition and Synthesis
- Advanced battery technologies research
- PAPR reduction in OFDM
- Electromagnetic Simulation and Numerical Methods
- Power Line Inspection Robots
- Modular Robots and Swarm Intelligence
- Web Data Mining and Analysis
- Image Enhancement Techniques
- Speech and dialogue systems
- Advanced Nanomaterials in Catalysis
- Semantic Web and Ontologies
- Seismic Waves and Analysis
- Robotic Path Planning Algorithms
Chinese Academy of Sciences
2015-2024
Shenyang Institute of Automation
2017-2024
Beijing National Laboratory for Molecular Sciences
2018-2024
Jingdong (China)
2022
Peking University
2018
Institute of Chemistry
2015-2018
Shenyang University of Technology
2018
State Key Laboratory of Polymer Physics and Chemistry
2015-2016
Shanghai Jiao Tong University
2008-2013
Tsinghua University
2009
Micron-sized Si anode promises a much higher theoretical capacity than the traditional graphite and more attractive application prospect compared to its nanoscale counterpart. However, severe volume expansion during lithiation requires solid electrolyte interphase (SEI) with reinforced mechanical stability. Here, we propose solvent-induced selective dissolution strategy in situ regulate properties of SEI. By introducing high-donor-number solvent, gamma-butyrolactone, into conventional...
The carbon-coated silicon monoxide (SiOx@C) has been considered as one of the most promising high-capacity anodes for next-generation high-energy-density lithium-ion batteries (LIBs). However, relatively low initial Coulombic efficiency (ICE) and still existing huge volume expansion during repeated lithiation/delithiation cycling remain greatest challenges to its practical application. Here, we developed a lithium boron (Li/B) co-doping strategy efficiently enhance ICE alleviate or...
A unique ring-closure method was developed for the preparation of cyclic polymers based on combination atom transfer radical polymerization and UV-induced strain promoted azide–alkyne cycloaddition reaction.
Abstract Silicon oxide‐graphite (SiO x ‐G) composites are promising anode materials for building practical high‐energy Li‐ion batteries. To acquire long and safe operation of battery, extensive efforts made to maintain stable Li storage SiO ‐G against aging the accompanied performance fade. While previous studies mostly focus on cycling aging, calendar occurred during battery at a high state charge or temperature has not received sufficient attention. In this work, mechanism study chemistry...
The implementation of carbon-coated microsized SiOx (MSiOx@C) materials in high energy density lithium-ion batteries (LIBs) is challenged by their low initial Coulombic efficiency (ICE), large volume expansion, and limited cycle life. Even though prelithiation an effective strategy to enhance ICE, it will make the prelithiated MSiOx@C (Li-MSiOx@C) extremely sensitive moisture. For industrial applications, important develop chemically electrochemically stable Li-MSiOx@C with ICE good cycling...
An artificial "salt-in-polymer" SEI, composed of poly-(1,3-dioxolane) and high-modulus fluorinated products generated from the in situ decomposition Li salts, was constructed on surface Li-MSiOx particles. This LiF-rich SEI helps to maintain structural integrity particles improves storage reversibility anode.
A library of thermoresponsive polymers were developed with hydrophobic polynorbornene backbones and hydrophilic <italic>N</italic>-alkyl-amide/imide side groups, whose behaviour in water could be conveniently tuned a wide temperature range.
Contrastive learning (CL) has achieved astonishing progress in computer vision, speech, and natural language processing fields recently with self-supervised learning. However, CL approach to the supervised setting is not fully explored, especially for understanding classification task. Intuitively, class label itself intrinsic ability perform hard positive/negative mining, which crucial CL. Motivated by this, we propose a novel anchored contrastive (denoted as LaCon) understanding....
Abstract Self‐healing binder is a prospective and efficient strategy to alleviate volume expansion of silicon (Si) anodes. However, excellent mechanical strength healing ability tend be mutually exclusive, due enhanced tensile stress limit by twining polymer chains, while inhibiting diffusion rate inducing failure blocked chains. Herein, inspired the planning course boat paddles, novel self‐healing (PVA‐4FBA‐PEI) designed synthesized with mobile parallel structure twining‐blocked...
Contour detection is an important and fundamental problem in computer vision which finds numerous applications.Despite significant progress has been made the past decades, contour from natural images remains a challenging task due to difficulty of clearly distinguishing between edges objects surrounding backgrounds.To address this problem, we first capture multi-scale features pixel-level segmentlevel using local global information.These are mapped space where discriminative information...
A small ROV was designed and developed for its wide application low cost, ArduSub system used to construct control realize motion attitude control. Equipped with componets such as cameras, underwater lights, sonar manipulator, has the characteristics of flexible movement, strong anti-current ability, observation operation capabilities. Structure composition algorithm is introduced in paper. Through pool test, results showed that use build makes better performance maintain shorten development...
This paper provides a novel and tractable method for extracting exact textual answers from the returned documents that are retrieved by traditional IR system in large-scale collection of texts. In our approach, WordNet Web information employed to improve performance as external auxiliary resources, then some NLP technologies used constitute empirical answer ranking formula, such POS tagging, Named Entity recognition, parser etc. The involves automatically passages with System Similarity...
The design of tracking control based on membership function-dependent <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance for the systems, which are described by Takagi-Sugeno fuzzy models, is considered. In practice, most systems have such a characteristic that they work some local subsystems time and others less time. Taking advantage this feature, an index dependent...
For the problem of hefty workload and bring impurity in process artificial transformer internal fault detection, a WiFi control based robot is designed to detect oil-immersed power transformer. The outline structure detection for illustrated, communication module used build system robot. Electromagnetic transmission analyses mechanism electromagnetic signal passing through oil, test was carried. movement status liquid tested this paper as well. results indicate that able move flexibly inside...
Aiming at the demand for intelligent operation and maintenance of large-scale oil-immersed power transformers with high reliability tasks, research on risk-driven design methods transformer internal inspection robots was carried out. From perspective safety, we reduce risks robot put forward a system-wide redundancy method, which includes structure design, control strategy, backup other dimensions. The results article provide reliable theoretical support safe, transformers, in areas space...
Power transformer is one of the most important equipments for power distribution system, and it crucial significance to guard electricity safety. A small wireless controlled robot was developed internal detection oil-immersed transformer, which improves automation intelligent level fault maintenance. Conventional FastSLAM known degenerate over time in terms accuracy due particle depletion resampling phase. In order achieve a precise efficient SLAM mobile robots high similarity environments,...