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Institution

University of Science and Technology Beijing

EducationBeijing, China
About: University of Science and Technology Beijing is a education organization based out in Beijing, China. It is known for research contribution in the topics: Microstructure & Alloy. The organization has 41558 authors who have published 44473 publications receiving 623229 citations. The organization is also known as: Beijing Steel and Iron Institute.


Papers
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Journal ArticleDOI
TL;DR: A systematic overview of recent carbon‐based composite PCMs for thermal storage, transfer, conversion, and advanced multifunctional applications, including novel metal organic framework (MOF)‐derived carbon materials are provided.
Abstract: Phase change materials (PCMs) can alleviate concerns over energy to some extent by reversibly storing a tremendous amount of renewable and sustainable thermal energy. However, the low thermal conductivity, low electrical conductivity, and weak photoabsorption of pure PCMs hinder their wider applicability and development. To overcome these deficiencies and improve the utilization efficiency of thermal energy, versatile carbon materials have been increasingly considered as supporting materials to construct shape-stabilized composite PCMs. Despite some carbon-based composite PCMs reviews regarding thermal conductivity enhancement, a comprehensive review of carbon-based composite PCMs does not exist. Herein, a systematic overview of recent carbon-based composite PCMs for thermal storage, transfer, conversion (solar-to-thermal, electro-to-thermal and magnetic-to-thermal), and advanced multifunctional applications, including novel metal organic framework (MOF)-derived carbon materials are provided. The current challenges and future opportunities are also highlighted. The authors hope this review can provide in-depth insights and serve as a useful guide for the targeted design of high-performance carbon-based composite PCMs.

136 citations

Journal ArticleDOI
TL;DR: The molecular mechanisms of important SLC transporter-mediated physiological processes and their potentials as drug targets are understood in regulating physiology, nutrient sensing and uptake, and risk of diseases.
Abstract: The prevalence of metabolic diseases is growing worldwide. Accumulating evidence suggests that solute carrier (SLC) transporters contribute to the etiology of various metabolic diseases. Consistent with metabolic characteristics, the top five organs in which SLC transporters are highly expressed are the kidney, brain, liver, gut, and heart. We aim to understand the molecular mechanisms of important SLC transporter-mediated physiological processes and their potentials as drug targets. SLC transporters serve as 'metabolic gate' of cells and mediate the transport of a wide range of essential nutrients and metabolites such as glucose, amino acids, vitamins, neurotransmitters, and inorganic/metal ions. Gene-modified animal models have demonstrated that SLC transporters participate in many important physiological functions including nutrient supply, metabolic transformation, energy homeostasis, tissue development, oxidative stress, host defense, and neurological regulation. Furthermore, the human genomic studies have identified that SLC transporters are susceptible or causative genes in various diseases like cancer, metabolic disease, cardiovascular disease, immunological disorders, and neurological dysfunction. Importantly, a number of SLC transporters have been successfully targeted for drug developments. This review will focus on the current understanding of SLCs in regulating physiology, nutrient sensing and uptake, and risk of diseases.

136 citations

Journal ArticleDOI
TL;DR: The model-free optimal control problem of general discrete-time nonlinear systems is considered, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method.
Abstract: The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method. By using offline and online data rather than the mathematical system model, the PGADP algorithm improves control policy with a gradient descent scheme. The convergence of the PGADP algorithm is proved by demonstrating that the constructed ${Q}$ -function sequence converges to the optimal ${Q}$ -function. Based on the PGADP algorithm, the adaptive control method is developed with an actor-critic structure and the method of weighted residuals. Its convergence properties are analyzed, where the approximate ${Q}$ -function converges to its optimum. Computer simulation results demonstrate the effectiveness of the PGADP-based adaptive control method.

136 citations

Journal ArticleDOI
TL;DR: Using in situ neutron diffraction, this work demonstrates the interaction of a rich variety of deformation mechanisms in high-entropy alloys at 15 K, which began with dislocation slip, followed by stacking faults and twinning, before transitioning to inhomogeneous deformation by serrations.
Abstract: High-entropy alloys exhibit exceptional mechanical properties at cryogenic temperatures, due to the activation of twinning in addition to dislocation slip. The coexistence of multiple deformation pathways raises an important question regarding how individual deformation mechanisms compete or synergize during plastic deformation. Using in situ neutron diffraction, we demonstrate the interaction of a rich variety of deformation mechanisms in high-entropy alloys at 15 K, which began with dislocation slip, followed by stacking faults and twinning, before transitioning to inhomogeneous deformation by serrations. Quantitative analysis showed that the cooperation of these different deformation mechanisms led to extreme work hardening. The low stacking fault energy plus the stable face-centered cubic structure at ultralow temperatures, enabled by the high-entropy alloying, played a pivotal role bridging dislocation slip and serration. Insights from the in situ experiments point to the role of entropy in the design of structural materials with superior properties.

136 citations

Journal ArticleDOI
TL;DR: In this article, a structural bionic design based on the microstructure of electric organs was proposed to improve the output current of systematic triboelectric generators, which not only benefits the practical use of systematic TGs for energy harvesting, but also offers a new approach to imitate more compositive and tunable electronic devices from biological structures.

136 citations


Authors

Showing all 41904 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Yang Yang1712644153049
Jun Chen136185677368
Jun Lu135152699767
Jie Liu131153168891
Shuai Liu129109580823
Jian Zhou128300791402
Chao Zhang127311984711
Shaobin Wang12687252463
Tao Zhang123277283866
Jian Liu117209073156
Xin Li114277871389
Jianhui Hou11042953265
Hong Wang110163351811
Baoshan Xing10982348944
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023161
2022807
20214,662
20204,369
20194,164
20183,586