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14 May 2019 Phase change photonics for brain-inspired computing (Conference Presentation)
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Phase change materials are increasingly becoming important functional materials for applications in emerging integrated optics. Since the demonstration of a photonic phase change memory device in 2015, several new applications i this area have emerged ranging from lossless routing to on-chip photonics synapses. More recently the use of these materials in unconventional computing has seen an emerging interest, especially in the areas of optical abacuses and other forms of brain-inspired computing. There have also been advances in non-von Neumann approaches to carry out large-scale matrix multiplications. In this talk, I shall cover these topics and present a future view of these materials, not only in computation, but also in displays and holographic projections.
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© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nathan Youngblood, Zengguang Cheng, Nikolaos Farmakidis, Xuan Li, James Tan, and Harish Bhaskaran "Phase change photonics for brain-inspired computing (Conference Presentation)", Proc. SPIE 10982, Micro- and Nanotechnology Sensors, Systems, and Applications XI, 109820P (14 May 2019); https://doi.org/10.1117/12.2520607
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