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Reducing noble metal dependence: oxygen evolution reaction with a Ru-minimized BiRuO@MOF-801 composite.

Nanoscale

January 2025

Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India.

Developing efficient and noble metal-minimized electrocatalysts for the oxygen evolution reactions (OER) is critical for energy conversion reactions. Here we present Ru-minimized BiRuO@MOF-801 that synergistically combines the high catalytic activity of the bimetallic oxide with the unique structural and hydrophilic properties of the Zr-MOF. The composite achieves superior OER performance with a low overpotential of 307 mV at 50 mA cm and a Tafel slope of 99.

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Quantum walks on photonic platforms represent a physics-rich framework for quantum measurements, simulations and universal computing. Dynamic reconfigurability of photonic circuitry is key to controlling the walk and retrieving its full operation potential. Universal quantum processing schemes based on time-bin encoding in gated fibre loops have been proposed but not demonstrated yet, mainly due to gate inefficiencies.

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Solid electrolytes (SEs) are crucial for advancing next-generation rechargeable battery technologies, but their commercial viability is partially limited by expensive precursors, unscalable synthesis, or low ionic conductivity. Lithium tetrahaloaluminates offer an economical option but exhibit low Li conductivities with high activation energy barriers. This study reports the synthesis of lithium aluminum chalcohalide (LiAlClS) using inexpensive precursors one-step mechanochemical milling.

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Mn-containing sodium superionic conductor (NASICON) compounds have shown considerable potential as cathode for sodium-ion batteries (SIBs) owing to higher working voltage (V/V: 3.9 V), lower cost, and lower toxicity compared to full vanadium-based NASICON NaV(PO). Taking NaVMn(PO) (NVMP) as an example, its practical application is still restricted by poor electronic conductivity, sluggish intrinsic Na diffusion, and poor high-voltage stability.

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The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categorize plant diseases within an IoT network.

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