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A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery
Material properties share an intrinsic relationship with their structural attributes, making inverse design approaches crucial for discovering new...
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Fe2+-rich layered material FeOCl for reducing thermal conductivity
The weak interlayer coupling and large-area surface of layered inorganic materials establish a fundamental framework for constructing inorganic solid...
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Construction of cobalt sulfide/molybdenum disulfide heterostructure as the anode material for sodium ion batteries
Molybdenum disulfide has been considered as an ideal candidate anode material for alkali-ion batteries because of its unique layered structure as...
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An autonomous design algorithm to experimentally realize three-dimensionally isotropic auxetic network structures without compromising density
Auxetic materials have a negative Poisson’s ratio and are of significant interest in applications that include impact mitigation, membrane...
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Cost and performance analysis as a valuable tool for battery material research
Cost and performance analysis is a powerful tool to support material research for battery energy storage, but it is rarely applied in the field and...
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Comparison of fatigue crack growth design curves on GMAW and EBW joints of high strength steels
There is a growing demand in the industrial sector for the use of high-strength structural steels (HSSSs), which can achieve a significant weight...
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Nanodiamond: a promising metal-free nanoscale material in photocatalysis and electrocatalysis
Benefiting from its surface-rich functional groups, eco-friendliness, impressive electrochemical properties, excellent light absorption, structural...
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A correlated ferromagnetic polar metal by design
Polar metals have recently garnered increasing interest because of their promising functionalities. Here we report the experimental realization of an...
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Machine learning-assisted efficient design of Cu-based shape memory alloy with specific phase transition temperature
The martensitic transformation temperature is the basis for the application of shape memory alloys (SMAs), and the ability to quickly and accurately...
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Beam filtration for object-tailored X-ray CT of multi-material cultural heritage objects
Computed tomography (CT) is a powerful non-invasive tool to analyze cultural heritage objects by allowing museum professionals to obtain 3D...
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Build Optimization for Selective Laser Melting of 316L Stainless Steel and Parameterization for Cross-Material Comparison and Process Design
Optimization of selective laser melting process parameters with respect to microstructure and mechanical properties is examined for 316L stainless...
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Autologous material-inspired drug delivery systems
Pursuing personalized medicine has spurred the development of drug delivery systems inspired by autologous materials, underscoring the transition...
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Artificial intelligence and machine learning in the design and additive manufacturing of responsive composites
In recent years, the development of artificial intelligence (AI) and machine learning (ML) techniques has revolutionized composite design....
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AlphaMat: a material informatics hub connecting data, features, models and applications
The development of modern civil industry, energy and information technology is inseparable from the rapid explorations of new materials. However,...
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Review of Material Modeling and Digitalization in Industry: Barriers and Perspectives
Materials modeling technologies are fundamental to explore, understand, and ultimately predict materials behavior. They are essential to solve...
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Iron Oxychloride as the Cathode Material for Sodium Ion Batteries
Iron oxychloride (FeOCl) with a layered structure may be a potential cathode material for rechargeable sodium ion batteries, due to its large...
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Hydrothermally synthesized CuNiS@CNTs composite electrode material for hybrid supercapacitors and non-enzymatic electrochemical glucose sensor
Advanced energy storage has driven significant research in the field of energy storage, which bridges the gap between traditional capacitors and...
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Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility
The attainment of both high strength and high ductility is always the goal for structure materials, because the two properties generally are mutually...
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Bimodal Coupling Haptic Perceptron for Accurate Contactless Gesture Perception and Material Identification
A bimodal coupled multifunctional tactile perceptron for contactless gesture recognition and material identification is proposed to address the...
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Simulated Mechanical Properties of NbC-Fe Composite Material under Tensile Load
With the continuous development of composite materials for various application fields, the demand for their performance has increased substantially....
