Nanoelectronics Advances: Future Applications from Quantum Phenomena
Keywords:
Nanoelectronics, Quantum Phenomena, Nanomaterials, Communication Technologies, Energy Conversion and StorageAbstract
By utilising the special qualities of materials and quantum phenomena, nanoelectronics-the study and use of electrical devices at the nanoscalehas completely changed the area of electronics. This review article offers a thorough summary of current developments in nanoelectronics, addressing everything from basic quantum effects to state-of-the-art applications. Unprecedented improvements in computing, sensing, energy conversion, communication have been made possible by the combination of nanomaterials, innovative device architectures, quantum technologies.
The nanoscale introduces amazing behaviours, such as tunnelling, quantization, quantum confinement, in the area of quantum phenomena. This review examines their enormous effects on the functionality and behaviour of electronic devices, using quantum dots and single-electron transistors as examples. The superposition and entanglement principles, which underpin quantum computing and quantum communication, have the revolutionary potential to transform secure data transfer and information processing.
Additionally, the interaction of nanomaterials and nanoelectronic technology has produced revolutionary results. Two-dimensional materials, carbon nanotubes, graphene have displayed remarkable electrical, thermal, mechanical properties. The importance of their incorporation into transistors, memory systems, sensors is emphasised in this article, which also highlights the crucial impact that size, shape, composition play in adjusting material properties.
Novel device architectures show promise as conventional silicon-based technologies near their physical constraints. With an emphasis on their energy efficiency and performance improvements, FinFETs, nanowire transistors, memristors are examined as viable replacements. Parallel to this, the fusion of neuroscience and nanoelectronics has led to the development of neuromorphic computing, which allows machines to mimic complex neurological functions and has sparked revolutionary advances in artificial intelligence.
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