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A Random Pore Model Approach Towards Hematite to Iron Reduction by Carbon Monoxide: A Computational and Experimental Study
AbstractIn this work, the random pore model (RPM) is utilized for the kinetic study of hematite reduction to Iron with CO. This can significantly...
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Sensor degradation in nuclear reactor pressure vessels: the overlooked factor in remaining useful life prediction
Sensor degradation poses a critical yet ‘often overlooked’ challenge in accurately predicting the remaining useful life (RUL) of nuclear reactor...
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Highly stable strain sensor using rGO decorated with multi-component alloy nanoparticles for human motion monitoring
Wearable, flexible devices have garnered widespread attention in the realm of human motion and life activity detection. Currently, the development of...
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Construction of iron oxyhydroxide/nickel sulfate hydroxide hybrid electrocatalyst for efficient oxygen evolution
Transition metal (TM) basic salts have been recognized as high-efficiency catalysts for electrocatalytic oxygen evolution reaction (OER), which is of...
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Twist angle-dependent transport properties of twisted bilayer graphene
Twisted bilayer graphene (tBLG) with small twist angles has attracted significant attention because of its unique electronic properties arising from...
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Comparative Analysis of Fixed-Grid Methods in Addressing a Benchmark Problem Coupled Natural Convection and Melting
For decades, the fixed-grid method (FGM) has undergone extensive development and widespread application in addressing phase change problems....
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Molecular modeling applied to corrosion inhibition: a critical review
In the last few years, organic corrosion inhibitors have been used as a green alternative to toxic inorganic compounds to prevent corrosion in...
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Design of a Three-Layer Impactor for Material Strength Measurements at Multi-Megabar Pressures
Off-Hugoniot loading methods for dynamic compression have been a topic of interest for many years as a means of accessing high pressures without...
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Carbon nanomaterials for aqueous zinc-ion capacitors: recent progress, challenges, and perspectives
Zinc-ion hybrid capacitors (ZHCs), integrating the high power density of supercapacitors and high energy density of batteries, are an emerging and...
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High reliable gas sensor based on crystal-facet regulated α-Fe2O3 nanocrystals for rapid detection of exhaled acetone
The exploitation of the highly reliable gas-sensing device for exhaled acetone detection possesses momentous and capacious development prospects in...
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Polyepitaxial grain matching to study the oxidation of uranium dioxide
Although the principal physical behaviour of a material is inherently connected to its fundamental crystal structure, the behaviours observed in the...
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Study on the Precipitation Strengthening Mechanism of Mg–10Zn–5Al–0.2Sc Alloy
The Mg–10Zn–5Al–0.2Sc (wt%) alloy was fabricated through gravity casting and subsequent heat treatment. The microstructure and precipitates of the...
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Comprehensive Study on the Microstructural Characterization and Strengthening Mechanism of (α + β) Based Ti-6Al-7Nb Alloy Processed Via Mechanical Alloying and Spark Plasma Sintering
This study investigates the severe plastic deformation of Ti–6Al–7Nb alloy synthesized through mechanical alloying (MA, 0–120 h) and subsequently...
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DATACORTECH: artificial intelligence platform for the virtual screen of aluminum corrosion inhibitors
The machine learning framework reported herein can greatly accelerate the development of more effective and sustainable corrosion inhibitors for...
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Constructing three-dimensional hydrogen-bonding network and porous film from chitosan enables high-performance silicon@carbon anode
Anodes based on silicon@carbon (Si@C) composites are expected to be used in the next generation of commercial lithium-ion batteries due to their high...
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Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder
The anode effect is a common failure in the aluminium electrolysis industry. If the anode effect cannot be accurately predicted, it will cause...
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Switchable p–n–p conduction and thermoelectric properties of selenium-doped tellurium crystal
Switchable conductivity in elementary semiconducting materials has a high potential for the design of diodes, transistors and energy conversion...
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Programming an efficient technique for designing smart C-doped MIC with dual self-protection for information and high-energy
Constructing self-protected metastable intermolecular composites (MICs) enables the regulation of microstructures towards boosting controllable...
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Aqueous Black Seed (Nigella sativa L.) Extract-Mediated Corrosion Inhibition in Mild Steel Exposed to 3.5% NaCl: Effect of Temperature, pH, Time, and In Situ Analysis Using Atomic Force Microscopy
Atomic force microscopy (AFM)-based analysis on the corrosion inhibition properties of aqueous black seed extract for mild steel exposed to 3.5% NaCl...