5 Result(s)
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Chapter
John C. Mauro
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Chapter
Machine Learning for Glass Modeling
With abundant composition-dependent glass properties data of good quality, machine learning-based models can enable the development of glass compositions with desired properties such as liquidus temperature, v...
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How Did Bioactive Glasses Revolutionize Medical Science? A Tribute to Larry Hench
Biomaterials influence human lives through their versatile medical applications and very promising future. A large number of pharmaceutical firms and manufacturing companies are investing in the production, de...
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Biomaterials for Cell Encapsulation: Progress Toward Clinical Applications
Cell microencapsulation is a technique to treat a wide range of diseases through the continuous and controlled delivery of therapeutic products. This technique can also treat multiple diseases in the absence o...
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Enthalpy landscapes and the glass transition
A fundamental understanding of the glass transition is essential for enabling future breakthroughs in glass science and technology. In this paper, we review recent advances in the modeling of glass transition ...
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Advanced modulation formats for fiber optic communication systems
Choice of modulation format plays a critical role in the design and performance of fiber optic communication systems. We discuss the basic physics of electro-optic phase and amplitude modulation and derive mod...
