[ad_1] Introduction: Phase change materials (PCMs) play a crucial role in various industries, particularly in energy storage and thermal management applications. The ability of PCMs to store and release large amounts of energy during phase…
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[ad_1] Introduction Multifunctional materials have gained significant attention in various engineering fields due to their ability to perform multiple tasks simultaneously. In particular, self-sensing composites are a type of multifunctional material that can sense changes…
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[ad_1] Introduction Collaborative robots, also known as cobots, are becoming increasingly popular in industrial settings due to their ability to work alongside humans in a safe and efficient manner. However, to fully realize the potential…
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[ad_1] Machine vision is a rapidly evolving field that involves the use of computer vision technology to automate tasks that require visual processing. One of the key applications of machine vision is in 3D reconstruction,…
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[ad_1] Introduction Nanomaterials have gained significant attention in recent years for their potential applications in various fields, including photovoltaics. The unique properties of nanomaterials, such as their large surface area-to-volume ratio, tunable optical and electronic…
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[ad_1] Introduction: Binder jetting is a rapidly advancing additive manufacturing technique that involves selectively depositing a liquid binding agent onto a powder bed to form layers. This process allows for the creation of complex geometries…
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[ad_1] Introduction The demand for energy storage devices with high power density, fast charging, and long cycle life has been increasing rapidly in recent years. Supercapacitors, also known as ultracapacitors or electrochemical capacitors, are promising…
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[ad_1] Introduction In recent years, there has been a growing interest in the development of biomimetic materials for controlled drug release. These materials are designed to mimic the natural processes of the human body in…
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[ad_1] Introduction Machine learning has been increasingly applied in various scientific fields to improve the accuracy and efficiency of complex simulations. In the field of molecular dynamics simulations, machine learning techniques have shown great potential…
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[ad_1] Introduction Gas turbines are widely used for power generation due to their high efficiency and flexibility in operation. However, with increasing environmental concerns and regulations, there is a growing need to improve the combustion…
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