Jing-Ci Su, Shih-Hung Cheng, Sin-You Huang, Wen-Jeng Hsueh
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引用次数: 0
Abstract
The urgent demand for high-performance emerging memory, propelled by artificial intelligence in internet of things (AIoT) and machine learning advancements, spotlights spin-transfer torque magnetic random-access memory as a prime candidate for practical application. However, magnetic tunnel junctions (MTJs) with a single-crystalline MgO barrier, which are central to magnetic random-access memory (MRAM), suffer from significant drawbacks: insufficient endurance due to breakdown and high writing power requirements. A superlattice barrier-based MTJ (SL-MTJ) is proposed to overcome the limitation. We first fabricated the MTJ using an SL barrier while examining the magnetoresistance and resistance-area product. Lower writing power can be achieved in SL-MTJs compared to MgO-MTJs. Our study may provide a new route to the development of MRAM technologies.
期刊介绍：
The Journal of Applied Physics (JAP) is an influential international journal publishing significant new experimental and theoretical results of applied physics research.
Topics covered in JAP are diverse and reflect the most current applied physics research, including:
Dielectrics, ferroelectrics, and multiferroics-
Electrical discharges, plasmas, and plasma-surface interactions-
Emerging, interdisciplinary, and other fields of applied physics-
Magnetism, spintronics, and superconductivity-
Organic-Inorganic systems, including organic electronics-
Photonics, plasmonics, photovoltaics, lasers, optical materials, and phenomena-
Physics of devices and sensors-
Physics of materials, including electrical, thermal, mechanical and other properties-
Physics of matter under extreme conditions-
Physics of nanoscale and low-dimensional systems, including atomic and quantum phenomena-
Physics of semiconductors-
Soft matter, fluids, and biophysics-
Thin films, interfaces, and surfaces
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