Presentation
4 October 2024 Voltage control of interfacial magnetism for energy-efficient memory and neuromorphic computing in magnetoionic materials and devices
Author Affiliations +
Proceedings Volume PC13119, Spintronics XVII; PC131190H (2024) https://doi.org/10.1117/12.3028834
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
Manipulation of interfacial magnetism utilizing voltage pulses can lead to energy-efficient scalable nanomagnetic devices. Through voltage-controlled magnetic anisotropy (VCMA), we had previously shown the potential to achieve non-volatile magnetoresistive random-access memory (MRAM) technology that is 100 times more energy-efficient than commercially available spin-transfer torque MRAM [1]. Building on prior work on VCMA-based skyrmion-mediated reversal of ferromagnetic states and its scaling to 20 nm [2], we will present new experimental demonstrations of manipulation of skyrmions in magnetoionic heterostructures with an electric field. This talk will also focus on energy-efficient magnetoionic control of skyrmions in (Co/Ni)N-based heterostructures for memory application. Furthermore, our talk also demonstrates implementing physical reservoir computing, a neuromorphic process typically used for classifying and predicting temporal data, with the energy-efficient magnetoionic process. References: [1] Bhattacharya et al. ACS applied materials & interfaces, 10(20), 17455-17462 (2018). [2] Rajib et al. Scientific reports, 11(1), 20914 (2021).
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Md Mahadi Rajib, Dhritiman Bhattacharya, Kai Liu, and Jayasimha Atulasimha "Voltage control of interfacial magnetism for energy-efficient memory and neuromorphic computing in magnetoionic materials and devices", Proc. SPIE PC13119, Spintronics XVII, PC131190H (4 October 2024); https://doi.org/10.1117/12.3028834
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KEYWORDS
Magnetism

Control systems

Reservoir computing

Ferromagnetics

Interfaces

Oxides

Electrolytes

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