Modulating electronic structure to balance the requirement of both hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) is crucial for developing bifunctional catalysts. Herein, phase transformation engineering is utilized to separately regulate catalyst structure, and the designed NiFe@Ni/Fe-MnOOH schottky heterojunction exhibits remarkable bifunctional electrocatalytic activity with low overpotentials of 19 and 230 mV at 10 mA cm for HER and OER in 1M KOH, respectively. Meanwhile, an anion-exchange membrane water electrolyzer employing NiFe@Ni/Fe-MnOOH as electrodes shows low voltages of 1.487/1.953 V at 10/1000 mA cm, and operating over 200 h at 1000 mA cm. Combining theoretical calculations and experiments reveal that phase transformation engineering can differentially regulate the active phases of HER/OER. In the HER, Ni/Fe-MnOOH and metallic NiFe act as the *OH and *H acceptors respectively to accelerates the water dissociation and subsequent Heyrovsky/Tafel step. While in the OER, the significant Jahn-Teller effect of Mn induces the surface reconstruction from Ni/Fe-MnOOH to Ni/Fe-MnO. The formative high value Mn can modify the M-O hybridization and activate the lattice oxygen mechanism, which is pivotal for breaking the restriction of volcanic relationship and reducing OER overpotential. These findings provide valuable design guidelines for high-performance multi-functional electrocatalysts via phase transformation engineering.
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http://dx.doi.org/10.1002/smll.202410752 | DOI Listing |
Sensors (Basel)
December 2024
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230002, China.
LLC resonant converters have emerged as essential components in DC charging station modules, thanks to their outstanding performance attributes such as high power density, efficiency, and compact size. The stability of these converters is crucial for vehicle endurance and passenger experience, making reliability a top priority. However, malfunctions in the switching transistor or current sensor can hinder the converter's ability to maintain a resonant state and stable output voltage, leading to a notable reduction in system efficiency and output capability.
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December 2024
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbeats in a small number of classes. Most of these approaches use convolutional neural networks (CNNs), exploiting some bi-dimensional representation of the ECG signal, such as spectrograms, scalograms, or similar.
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December 2024
Institute of Mechatronics and Information Systems, Lodz University of Technology, 90-537 Lodz, Poland.
This paper is devoted to the development of a window-type inductive current transformer (iCT) with a rated primary current equal to 400 A and two secondary windings with rated currents of 5 A and 1 A. Its novelty concerns the presentation of this process in the case of an iCT with a 0.2S accuracy class ensured not only for a sinusoidal current of a frequency of 50 Hz but also for the transformation of distorted current in the harmonic frequency range from 50 Hz to 5 kHz.
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December 2024
College of Mechanical and Energy Engineering, Beijing University of Technology, Beijing 100124, China.
This paper proposes a registration approach rooted in point cloud clustering and segmentation, named Clustering and Segmentation Normal Distribution Transform (CSNDT), with the aim of improving the scope and efficiency of point cloud registration. Traditional Normal Distribution Transform (NDT) algorithms face challenges during their initialization phase, leading to the loss of local feature information and erroneous mapping. To address these limitations, this paper proposes a method of adaptive cell partitioning.
View Article and Find Full Text PDFPharmaceutics
December 2024
Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania.
Olmesartan medoxomil (OLM) is the prodrug of olmesartan, an angiotensin II type 1 receptor blocker that has antihypertensive and antioxidant activities and renal protective properties. It exhibits low water solubility, which leads to poor bioavailability and limits its clinical potential. To improve the solubility of OLM, a host-guest inclusion complex (IC) between heptakis(2,6-di-O-methyl)-β-cyclodextrin (DMβCD) and the drug substance was obtained.
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