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| 1 | A smart safe rechargeable zinc ion battery based on sol-gel transition electrolytes显示文摘Thermal runaway has been a long-standing safety issue impeding the development of high-energydensity batteries. Physical safety designs such as employing circuit-breakers and fuses to batteries are limited by small operating voltage windows and no resumption of original working condition when it is cooled down. Here we report a smart thermoresponsive polymer electrolyte that can be incorporated inside batteries to prevent thermal runaway via a fast and reversible sol-gel transition, and successfully combine this smart electrolyte with a rechargeable Zn/a-MnO_2 battery system. At high temperature, battery operation is inhibited as a result of the increased internal resistance caused by the gelation of liquid electrolyte. After cooling down, the electrolyte is spontaneously reversed to sol state and the electrochemical performance of the battery is restored. More importantly, sol-gel transition enables the smart battery to experience different charge-discharge rates under various temperature levels, providing a smart and active strategy to achieve dynamic and reversible self-protection. | Funian Mo Hongfei Li Zengxia Pei Guojin Liang Longtao Ma Qi Yang Donghong Wang Yan Huang Chunyi Zhi | 2018 | Science Bulletin2018，63，16： | 13 |
| 2 | Big Earth Data science:an information framework for a sustainable planet显示文摘The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before.These changes will unlikely stop or even decelerate in the near future.There is an urgent need for a new scientific approach and an advanced form of evidence-based decisionmaking towards the benefit of society,the economy,and the environment.To understand the impacts and interrelationships between humans as a society and natural Earth system processes,we propose a new engineering discipline,Big Earth Data science.This science is called to provide the methodologies and tools to generate knowledge from diverse,numerous,and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet Earth.Big Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and evolves.The manuscript introduces the universe of discourse characterizing this new science,its foundational paradigms and methodologies,and a possible technological framework to be implemented by applying an ecosystem approach.CASEarth and GEOSS are presented as examples of international implementation attempts.Conclusions discuss important challenges and collaboration opportunities. | Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He Martino Pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni | 2020 | International Journal of Digital Earth2020，13，7： | 12 |
| 3 | Carbon-Based Flexible and All-Solid-State Micro-supercapacitors Fabricated by Inkjet Printing with Enhanced Performance显示文摘By means of inkjet printing technique, flexible and all-solid-state micro-supercapacitors(MSCs) were fabricated with carbon-based hybrid ink composed of graphene oxide(GO,98.0vol.%) ink and commercial pen ink(2.0vol.%). A small amount of commercial pen ink was added to effectively reduce the agglomeration of theGO sheets during solvent evaporation and the following reduction processes in which the presence of graphite carbon nanoparticles served as nano-spacer to separate GO sheets. The printed device fabricated using the hybrid ink,combined with the binder-free microelectrodes and interdigital microelectrode configuration, exhibits nearly 780%enhancement in areal capacitance compared with that of pure GO ink. It also shows excellent flexibility and cycling stability with nearly 100% retention of the areal capacitance after 10,000 cycles. The all-solid-state device can be optionally connected in series or in parallel to meet the voltage and capacity requirements for a given application.This work demonstrates a promising future of the carbonbased hybrid ink for directly large-scale inkjet printing MSCs for disposable energy storage devices. | Zhibin Pei Haibo Hu Guojin Liang Changhui Ye | 2017 | Nano-Micro Letters2017，9，2： | 7 |
| 4 | Building durable aqueous K-ion capacitors based on MXene family显示文摘Obtaining stable aqueous K-ion capacitors is still challenging due to the cathode materials tended to structurally collapse after long-term cycling during large-radius K-ion insertion/extraction.In this work,three different typical MXene electrodes,i.e.,Nb_(2)C,Ti_(2)C,and Ti_(3)C_(2) were individually investigated upon their electrochemical behaviors for potassium-ion(K-ion)storage.All these MXene materials exhibited pseudocapacitive-dominated behaviors,fast kinetics,and durable K-ion storage,delivering superior performance compared with other K-ion host materials.According to the experimental results,it could be ascribed to the intrinsically large interlayer distance for K-ion transport and the superb structural stability of MXene even subjected to long-term potassiation/depotassiation process. | Guojin Liang Xinliang Li Yanbo Wang Shuo Yang Zhaodong Huang Qi Yang Donghong Wang Binbin Dong Minshen Zhu Chunyi Zhi | 2022 | Nano Research Energy2022，1，1： | 2 |
| 5 | Reachable set modeling and engagement analysis of exoatmospheric interceptor显示文摘A novel reachable set(RS) model is developed within a framework of exoatmospheric interceptor engagement analysis. The boost phase steering scheme and trajectory distortion mechanism of the interceptor are firstly explored. A mathematical model of the distorted RS is then formulated through a dimension–reduction analysis. By treating the outer boundary of the RS on sphere surface as a spherical convex hull, two relevant theorems are proposed and the RS envelope is depicted by the computational geometry theory. Based on RS model, the algorithms of intercept window analysis and launch parameters determination are proposed, and numerical simulations are carried out for interceptors with different energy or launch points. Results show that the proposed method can avoid intensive on-line computation and provide an accurate and effective approach for interceptor engagement analysis. The suggested RS model also serves as a ready reference to other related problems such as interceptor effectiveness evaluation and platform disposition. | Chai Hua Liang Yangang Chen Lei Tang Guojin | 2014 | Chinese Journal of Aeronautics2014，27，6： | 1 |
| 6 | Self-healable electroluminescent devices显示文摘Electroluminescent(EL)devices have been extensively integrated into multi-functionalized electronic systems in the role of the vitally constituent light-emitting part.However,the lifetime and reliability of EL devices are often severely restricted by concomitant damage,especially when the strain exceeds the mechanical withstanding limit.We report a self-healable EL device by adopting a modified self-healable polyacrylic acid hydrogel as the electrode and a selfhealable polyurethane as a phosphor host to realize the first omni-layer-healable light-emitting device.The physicochemical properties of each functionalized layer can be efficiently restored after experiencing substantial catastrophic damage.As a result,the luminescent performance of the self-healable EL devices is well recovered with a high healing efficiency(83.2%for 10 healing cycles at unfixed spots,and 57.7%for 20 healing cycles at a fixed spot).In addition,inter-device healing has also been developed to realize a conceptual“LEGO”-like assembly process at the device level for light-emitting devices.The design and realization of the self-healable EL devices may revive their performance and expand their lifetime even after undergoing a deadly cut.Our self-healable EL devices may serve as model systems for electroluminescent applications of the recently developed ionically conductive healable hydrogels and dielectric polymers. | Guojin Liang Zhuoxin Liu Funian Mo Zijie Tang Hongfei Li Zifeng Wang Venkateshwarlu Sarangi Abhijit Pramanick Jun Fan Chunyi Zhi | 2018 | Light(Science & Applications)2018，7，1： | 0 |
| 7 | A Novel Deep Model with Meta-Learning for Rolling Bearing Few-Shot Fault Diagnosis显示文摘Machine learning,especially deep learning,has been highly successful in data-intensive applications;however,the performance of these models will drop significantly when the amount of the training data amount does not meet the requirement.This leads to the so-called few-shot learning(FSL)problem,which requires the model rapidly generalize to new tasks that containing only a few labeled samples.In this paper,we proposed a new deep model,called deep convolutional meta-learning networks,to address the low performance of generalization under limited data for bearing fault diagnosis.The essential of our approach is to learn a base model from the multiple learning tasks using a support dataset and finetune the learnt parameters using few-shot tasks before it can adapt to the new learning task based on limited training data.The proposed method was compared to several FSL methods,including methods with and without pre-training the embedding mapping,and methods with finetuning the classifier or the whole model by utilizing the few-shot data from the target domain.The comparisons are carried out on 1-shot and 10-shot tasks using the Case Western Reserve University bearing dataset and a cylindrical roller bearing dataset.The experimental result illustrates that our method has good performance on the bearing fault diagnosis across various few-shot conditions.In addition,we found that the pretraining process does not always improve the prediction accuracy. | Xiaoxia Liang Ming Zhang Guojin Feng Yuchun Xu Dong Zhen Fengshou Gu | 2023 | Journal of Dynamics, Monitoring and Diagnostics2023，2，2： | 0 |
| 8 | Recent Advances in Aqueous Zn||MnO_(2)Batteries显示文摘Recently,rechargeable aqueous zinc-based batteries using manganese oxide as the cathode(e.g.,MnO_(2))have gained attention due to their inherent safety,environmental friendliness,and low cost.Despite their potential,achieving high energy density in Zn||MnO_(2)batteries remains challenging,highlighting the need to understand the electrochemical reaction mechanisms underlying these batteries more deeply and optimize battery components,including electrodes and electrolytes.This review comprehensively summarizes the latest advancements for understanding the electrochemistry reaction mechanisms and designing electrodes and electrolytes for Zn||MnO_(2)batteries in mildly and strongly acidic environments.Furthermore,we highlight the key challenges hindering the extensive application of Zn||MnO_(2)batteries,including high-voltage requirements and areal capacity,and propose innovative solutions to overcome these challenges.We suggest that MnO_(2)/Mn^(2+)conversion in neutral electrolytes is a crucial aspect that needs to be addressed to achieve high-performance Zn||MnO_(2)batteries.These approaches could lead to breakthroughs in the future development of Zn||MnO_(2)batteries,off ering a more sustainable,costeff ective,and high-performance alternative to traditional batteries. | Chuan Li Rong Zhang Huilin Cui Yanbo Wang Guojin Liang Chunyi Zhi | 2024 | Transactions of Tianjin University2024，30，1： | 0 |
| 9 | Adhesive and cohesive force matters in deformable batteries显示文摘Mechanical stability of flexible batteries is the guarantee for delivering stable performance.The interacting external and inner forces determine it. | Guojin Liang Jiaxiong Zhu Ao Chen Qi Yang Chunyi Zhi | 2021 | npj Flexible Electronics2021，5，1： | 0 |
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