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Realization of skyrmion shift register

Le Zhao, Chensong Hua, Chengkun Song, Weichao Yu, Wanjun Jiang

2024Science Bulletin18 citationsDOIOpen Access PDF

Abstract

The big data explosion demands novel data storage technology. Among many different approaches, solitonic racetrack memory devices hold great promise for accommodating nonvolatile and low-power functionalities. As representative topological solitons, magnetic skyrmions are envisioned as potential information carriers for efficient information processing. While their advantages as memory and logic elements have been vastly exploited from theoretical perspectives, the corresponding experimental efforts are rather limited. These challenges, which are key to versatile skyrmionic devices, will be studied in this work. Through patterning concaved surface topography with designed arrays of indentations on standard Si/SiO2 substrates, we demonstrate that the resultant non-flat energy landscape could lead to the formation of hexagonal and square skyrmion lattices in Ta/CoFeB/MgO multilayers. Based on these films, one-dimensional racetrack devices are subsequently fabricated, in which a long-distance deterministic shifting of skyrmions between neighboring indentations is achieved at room temperature. Through separating the word line and the bit line, a prototype shift register device, which can sequentially generate and precisely shift complex skyrmionic data strings, is presented. The deterministic writing and long-distance shifting of skyrmionic bits can find potential applications in transformative skyrmionic memory, logic as well as the in-memory computing devices.

Topics & Concepts

SkyrmionRealization (probability)Racetrack memoryLine (geometry)Computer data storageComputer sciencePhysicsShift registerOptoelectronicsElectronic circuitComputer hardwareMemory managementCondensed matter physicsQuantum mechanicsGeometrySemiconductor memoryMathematicsInterleaved memoryStatisticsMagnetic properties of thin filmsAdvanced Memory and Neural ComputingTheoretical and Computational Physics
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