[ad_1] Introduction Electronic skin, also known as E-skin, is a flexible, stretchable electronic device that mimics the functions of human skin. It is used in various applications such as prosthetics, robotics, wearable devices, and healthcare…
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[ad_1] Thesis Overview: Title: Multiphysics Modeling of Electroactive Polymers Introduction: Electroactive polymers are a class of materials that exhibit a change in size or shape in response to an applied voltage. These materials have gained…
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[ad_1] Introduction Magneto-rheological (MR) fluids are smart materials that exhibit a change in rheological properties when subjected to a magnetic field. These fluids have gained significant attention in various engineering applications due to their controllable…
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[ad_1] Introduction Biomimetic materials have gained significant attention in recent years due to their ability to mimic natural biological systems and structures. One area where biomimetic materials have shown great promise is in the development…
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[ad_1] Introduction Hypersonic vehicles, capable of flying at speeds greater than five times the speed of sound, present unique challenges for cooling systems due to the extreme heat generated during flight. Advanced cooling systems are…
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[ad_1] Introduction Piezoelectric sensors have gained significant attention in recent years due to their ability to convert mechanical energy into electrical signals. These sensors can be used in various applications, including tactile sensing, where they…
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[ad_1] Introduction The field of metamaterials has undergone significant advancements in recent years, with groundbreaking applications in various fields such as optics, acoustics, and electromagnetics. Metamaterials are engineered materials with unique properties not found in…
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[ad_1] Introduction Prosthetic hands play a critical role in the lives of individuals who have lost a limb, providing them with the ability to perform everyday tasks and improve their quality of life. Advanced control…
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[ad_1] Introduction Machine learning has emerged as a powerful tool in various domains, including engineering and optimization. In recent years, machine learning techniques have been increasingly applied in the field of topology optimization, which aims…
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[ad_1] Introduction Micro-electromechanical systems (MEMS) have emerged as a promising technology for chemical sensing applications due to their miniaturized size, high sensitivity, and low cost. MEMS-based chemical sensors have the potential to revolutionize various industries…
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