Yinglin Xiao

Solution-processed Li2CO3:MnOx composite for feasible electron injection tailoring in inverted ultraviolet organic light-emitting diodes

Jia Yuan, Xiaocui Wang, Yinglin Xiao, Muci Li et autres

cn (code pays fourni par la source)

Water solubility and facile microwave synthesis of N,S-co-doped carbon dots for efficient photoluminescent and electroluminescent diodes

Bingyu Wang, Ganxie Wang, Deqiang Liu, Shengyong Ou et autres

cn (code pays fourni par la source)

Investigation on Bipolar Carrier Injection Materials of Ni-, Co-, Zn-Doped Urea and their Applications in Organic Light-Emitting Diodes

Li Huo, Muci Li, Sheng Du, Hao Sun et autres

cn (code pays fourni par la source)

Efficient organic light-emitting diodes enabled by facile solution-processed VOx and MoOx doped PEDOT:PSS as effective hole injection layers

Yinglin Xiao, Muci Li, Jia Yuan, Hao Sun et autres

Tetramethylammonium fluoroborate additive in flame-retardant electrolyte building stability cathode and anode interface for lithium-sulfur batteries

Yinglin Xiao, Chang Liu, Jiajun Li, Yonghong deng

Tuning properties of Co-free Ni-based cathode by dielectric BaTiO3 for Ni Zn batteries

Yunming Li, Guojun Zha, Yun Hu, Yinglin Xiao et autres

cn, us (code pays fourni par la source)

Feasibility Analysis of Enhanced Driving Behavior Recognition via IoV-based Deep Learning Framework

Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

With the rapid development of the Internet of Vehicles (IoV), the integration of vehicular networks and deep learning has become a promising approach for enhancing driving behavior recognition. This paper presents a preliminary analysis of an IoV-based deep learning framework designed to …

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Tuning Properties of Co-Free Ni-Based Cathode by Dielectric Batio3 for Ni–Zn Batteries

Yunming Li, Guojun Zha, Yun Hu, Yinglin Xiao et autres

State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction

Honguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

In recent years, the application of deep learning (DL) models to identify dangerous driving behaviors has emerged as a novel approach to enhance road safety and detect high-risk driving behaviors. However, these advanced algorithms still face several challenges. We analyze relevant literature …

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Altered functional connectivity after pilocarpine-induced seizures revealed by intrinsic optical signals imaging in awake mice

Lifen Gong, Xin Huang, Zhe Hu, Chen Chen et autres

Significance: Comorbidities such as mood and cognitive disorders are often found in individuals with epilepsy after seizures. Cortex processes sensory, motor, and cognitive information. Brain circuit changes can be studied by observing functional network changes in epileptic mice's cortex. Aim: . Approach: …

cn (code pays fourni par la source)

Cationic surfactant for lithium-sulfur batteries enables efficient use of sulfur and limits lithium dendrite formation

Yinglin Xiao, Zhongbo Liu, Jiachun Wu, Chang Liu et autres

Lithium-sulfur batteries (LSBs) are promising energy-storage systems due to their high theoretical energy density. However, LSBs’ practical energy density is limited by a large electrolyte-to-sulfur (E/S) ratio (>5 μL mg−1 S), and their reversible operation encounters challenges from electrode passivation and Li …

cn, hk (code pays fourni par la source)

Dual-Functional Electrolyte Additive for Lithium–Sulfur Batteries Limits Lithium Dendrite Formation and Increases Sulfur Utilization Rate

Chang Liu, Huiyuan Wu, Jiachun Wu, Yinglin Xiao et autres

Lithium–sulfur batteries (LSBs) have received great attention as promising candidates for next-generation energy-storage systems due to their high theoretical energy density. However, their practical energy density is limited by a large electrolyte-to-sulfur (E/S) ratio (>10 µL electrolyte/mg s), and their cycle performance …

cn (code pays fourni par la source)