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392 results on '"Li, Shenghai"'

18. The impact of imidazolium with steric hindrance on the dissociation of phosphoric acid and the performance of high-temperature proton exchange membranes.

Author

Sun, Xi, Yu, Huiting, Guan, Jiayu, Zhang, Bin, Zheng, Jifu, Li, Shenghai, and Zhang, Suobo

Abstract

The low conductivity and poor stability of high-temperature proton exchange membranes (HT-PEMs) are still the main reasons limiting the practical application of high-temperature proton exchange membrane fuel cells (HT-PEMFCs). Herein, a strategy of blending polyimidazolium (P-Im) with strong steric effect in HT-PEMs is proposed to accelerate proton conduction and improve operating stability. For one thing, the steric hindrance facilitates the formation of stable ion-association complexes between imidazolium and dihydrogen phosphate, promoting the dissociation of phosphoric acid (PA). For another, it helps to enhance acid–base interaction and hydrogen bonding between P-Im and PA, thus inhibiting the leaching of PA. The proton conductivity of the blend membrane reaches 0.149 S cm−1 at 200 °C, which is 1.16 times higher than that of the poly[2,2′-(p-oxydiphenylene)-5,5′-benzimidazole] (OPBI) membrane with a 24.1% lower PA uptake under the same conditions. And the corresponding peak power density is 746 mW cm−2 without backpressure. This work presents a novel approach to enhance proton conduction efficiency in HT-PEMs from the perspective of accelerating PA dissociation by introducing additional ionic interactions and regulating the steric effect of functional groups in the polymer matrix. [ABSTRACT FROM AUTHOR]

Published
2024
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42. An optimal container update method for edge‐cloud collaboration.

Author

Zhang, Haotong, Lin, Weiwei, Xie, Rong, Li, Shenghai, Dai, Zhiyan, and Wang, James Z.

Subjects
IMAGE reconstruction, IMAGE transmission, DATA transmission systems, EDGE computing, CONTAINERS, MULTICASTING (Computer networks)
Abstract

Emerging computing paradigms provide field‐level service responses for users, for example, edge computing, fog computing, and MEC. Edge virtualization technologies represented by Docker can provide a platform‐independent, low‐resource‐consumption operating environment for edge service. The image‐pulling time of Docker is a crucial factor affecting the start‐up speed of edge services. The layer reuse mechanism of native Docker cannot fully utilize the duplicate data of node local images. In this paper, we propose a chunk reuse mechanism (CRM), which effectively targets node‐local duplicate data during container updates and reduces the volume of data transmission required for image building. We orchestrate the CRM process for cloud and remote‐cloud nodes to ensure that the resource overhead from container update data preparation and image reconstruction is within an acceptable range. The experimental results show that the CRM proposed in this paper can effectively utilize the node local duplicate data in the synchronous update of containers in multiple nodes, reduce the volume of data transmission, and significantly improve container update efficiency. [ABSTRACT FROM AUTHOR]

Published
2024
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