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Ferroic materials such as ferroelectrics and ferromagnets have been widely used as both information storage media and information sensors. A few examples in this regard are ferroelectric/magnetic random access memory, hard disk, and giant magnetoresistance sensors. These memories have both advantages and disadvantages over typical non-ferroic memories such as flash and DRAM in terms of power consumption, size, and speed. Suitability of these memories in edge computing machines will depend on the specific type of applications, required characteristics, and design constraints. In this talk, I will discuss desired memory characteristics suitable for the edge computing platform that need to be physically flexible and bendable. This constraint is especially applicable in the application space of the internet-of-things and it imposes significant fabrication, performance, and energy consumption challenges. Complex oxide-based ferroic materials are one of the best choices in terms of performance and energy consumption. However, the integration of these materials on flexible substrates has remained a daunting challenge due to their flexible substrate-incompatible structures and stringent growth conditions. Motivated by this challenge, we demonstrate a pathway for integrating epitaxial quality, complex oxide ferroelectric memory devices onto flexible substrates [1]. These devices significantly advance the state of the art in all the key device attributes such as switching speed, memory retention, cycling endurance, and operating power. This work also provides an avenue towards combining the rich functionality of spin states in complex oxides, onto a flexible platform for edge computing. I will also discuss the recent advancements in the field of complex oxide ferroic devices in the context of edge computing applications. Acknowledgment: Characterization of layer transferred ferroic materials by scanning probe microscopy is carried out at Argonne National Laboratory and supported by the US Department of Energy, Office of Basic Energy Sciences, Materials Sciences, and Engineering Division. Materials growth carried out at the University of California Berkeley was supported by the Office of Naval Research Contract No: N00014‐14‐1‐0654.
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