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The motivation behind the International Conference on Emerging Multifunctional Materials and Devices for Sustainable Technologies (IEMDST-2024) is to address and highlight the critical role of advanced materials and devices in the pursuit of sustainable technologies.
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This book presents various design theories and methodologies for silicon-based high-sensitivity broadband receivers, including millimeter-wave... Læs mere
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This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical... Læs mere
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Single crystal AlN growth includes bulk single crystal growth, single crystal thick film growth and single crystal thin film growth involving physical vapor deposition technology, hydride vapor phase epitaxy and metal-organic chemical vapor deposition technology.
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This book provides an insight into spin-triplet superconductivity, which rapidly becomes better understood in recent years, from the perspective of a microscopic measurement technique called nuclear magnetic resonance (NMR).
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This book elucidates fascinating electronic phenomena of unusual Bi2-square net in layered R2O2Bi (R: rare earth) compounds using two approaches: the fabrication of epitaxial thin films and the synthesis of bulk polycrystalline powders.
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It places particular emphasis on silicon solar cells, CIGS-based solar cells, organic solar cells, perovskite solar cells and hybrid solar cells.
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The book provides scientists with a detailed understanding of the nature of superconductivity and the most interesting superconducting materials.
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The book is divided into two volumes. Volume One in particular focuses on relevant activities in three... Læs mere
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This thesis showcases innovative new approaches aimed at advancing the next generation of long wave infrared (LWIR) light detectors and cameras. The pursuit of an affordable, high-performance LWIR camera capable of room temperature detection has spanned several decades.
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The book presents the author's development of two first-principles methods to calculate dielectric properties of materials based on anharmonic phonon and machine learning, and demonstrates an in-depth analysis of anharmonic crystals and molecular liquids.