Polymers (Basel)
Institute of Material Science and Testing of Polymers, Montanuniversitaet Leoben, 8700 Leoben, Austria.
Published: July 2016
Materials used in high voltage applications have to meet a lot of regulations for their safety and functional usage during their lifetime. For high voltage applications the electrical properties are the most relevant designing criteria. However, the mechanical properties of such materials have rarely been considered for application dimensioning over the last decades. This article gives an overview of composite materials used in high voltage applications and some basic mechanical and thermo-mechanical characterization methods of such materials, including a discussion of influences on practically used epoxy based thermosets.
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http://dx.doi.org/10.3390/polym8070260 | DOI Listing |
J Am Chem Soc
January 2025
Research Center for Solar Energy Chemistry and Division of Chemical Engineering, Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Japan.
Photocatalytic transformation of nitrate (NO) in wastewater into ammonia (NH) is a challenge in the detoxification and recycling of limited nitrogen resources. In particular, previously reported photocatalysts cannot promote the reaction using water as an electron donor. Herein, we report that copper-doped titanium dioxide (Cu-TiO) powders, prepared via the sol-gel method and subsequent calcination, promote NO-to-NH reduction in water.
View Article and Find Full Text PDFSmall
January 2025
Key Laboratory of UV Light Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, China.
In this study an (AlGa)O barrier layer is inserted between β-GaO and GaN in a p-GaN/n-GaO diode photodetector, causing the dark current to decrease considerably, and device performance to improve significantly. The β-GaO/β-(AlGa)O/GaN n-type/Barrier/p-type photodetector achieves a photocurrent gain of 1246, responsivity of 237 A W, and specific detectivity of 5.23 × 10 cm Hz W under a bias of -20 V.
View Article and Find Full Text PDFNano Lett
January 2025
Center for Spintronics and Quantum Systems, State Key Laboratory for Mechanical Behavior of Materials, School of Materials Science and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
The ferroelectric tunnel junction (FTJ) is a competitive candidate for post-Moore nonvolatile memories due to its low power consumption and nonvolatility, with its performance being strongly dependent on the conditions for contact between the ferroelectric material and the metal electrode. The development of two-dimensional materials in recent years has offered new opportunities such as functional metal layers, which is challenging for traditional FTJ systems. Here, we introduce the newly discovered ferroelectric metal WTe as the electrode to construct WTe/α-InSe/Au ferroelectric semiconductor junctions.
View Article and Find Full Text PDFAdv Mater
January 2025
Center of Energy Storage Materials and Technology, College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, National Laboratory of Solid-State Microstructures and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, P. R. China.
The energy density of layered oxides of Li-ion batteries can be enhanced by inducing oxygen redox through replacing transition metal (TM) ions with Li ions in the TM layer. Undesirably, the cathodes always suffer from unfavorable structural degradation, which is closely associated with irreversible TM migration and slab gliding, resulting in continuous capacity and voltage decay. Herein, attention is paid to the Li ions in the TM layer (Li) and find their extra effects beyond inducing oxygen redox, which has been rarely mentioned.
View Article and Find Full Text PDFData Brief
February 2025
School of Engineering and Technology, University of New South Wales, Canberra, Australia.
This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF).
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