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Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine…

Emerging Technologies · Computer Science 2015-07-09 Radu Berdan , Eleni Vasilaki , Ali Khiat , Giacomo Indiveri , Alexandru Serb , Themistoklis Prodromakis

Strain-mediated voltage control of magnetization in piezoelectric/ferromagnetic systems is a promising mechanism to implement energy-efficient spintronic memory devices. Here, we demonstrate giant voltage manipulation of MgO magnetic tunnel…

Mesoscale and Nanoscale Physics · Physics 2016-09-02 Zhengyang Zhao , Mahdi Jamali , Noel D'Souza , Delin Zhang , Supriyo Bandyopadhyay , Jayasimha Atulasimha , Jian-Ping Wang

Synaptic delays play a crucial role in biological neuronal networks, where their modulation has been observed in mammalian learning processes. In the realm of neuromorphic computing, although spiking neural networks (SNNs) aim to emulate…

Neural and Evolutionary Computing · Computer Science 2025-06-19 Marissa Dominijanni , Alexander Ororbia , Kenneth W. Regan

Despite extensive research on magnetic skyrmions and antiskyrmions, a significant challenge remains in crafting nontrivial high-order skyrmionic textures with varying, or even tailor-made, topologies. We address this challenge, by focusing…

Stochastic magnetic tunnel junctions (s-MTJ) is a promising component of probabilistic bit (p-bit), which plays a pivotal role in probabilistic computers. For a standard cell structure of the p-bit, s-MTJ is desired to be insensitive to…

Mesoscale and Nanoscale Physics · Physics 2024-07-12 Rikuto Ota , Keito Kobayashi , Keisuke Hayakawa , Shun Kanai , Kerem Y. Çamsarı , Hideo Ohno , Shunsuke Fukami

Magnetic tunnel junction (MTJ) is the key component to enable information access and increasing number of MTJs is integrated to develop high-density spintronic devices. However, continuous miniaturization of the conventional MTJs is…

Mesoscale and Nanoscale Physics · Physics 2026-04-17 Yue Zhao , Bin Xiao , Jiawei Liu , Hui Zeng , Jun Zhao

Spintronic nano-synapses and nano-neurons perform complex cognitive computations with high accuracy thanks to their rich, reproducible and controllable magnetization dynamics. These dynamical nanodevices could transform artificial…

Memory devices operating due to the fast proton transfer (PT) process are proposed by means of the first-principles calculations. Writing an information is performed using the electrostatic potential of the scanning tunneling microscopy…

Mesoscale and Nanoscale Physics · Physics 2015-11-26 Malgorzata Wierzbowska

Multiferroic tunnel junctions (MFTJs) have already been proved to be promising candidates for application in spintronics devices. The coupling between tunnel magnetoresistance (TMR) and tunnel electroresistance (TER) in MFTJs can provide…

Materials Science · Physics 2019-06-25 Q. Liu , J. Miao , Z. D. Xu , P. F. Liu , Q. H. Zhang , L. Gu , K. K. Meng , X. G. Xu , J. K. Chen , Y. Wu , Y. Jiang

Antiferromagnetic Tunnel Junctions (AFMTJs) offer picosecond switching and high integration density for in-memory computing, but their ultrafast dynamics and low tunnel magnetoresistance (TMR) make state-of-the-art MRAM interfaces…

Hardware Architecture · Computer Science 2026-02-13 Yousuf Choudhary , Tosiron Adegbija

Spintronic-based brain-inspired neuromorphic computing has recently attracted significant attention due to the exceptional properties of magnetic microstructures, including nanoscale dimensions, high stability, and low energy consumption.…

Computational Physics · Physics 2025-12-05 Anmol Sharma , Ranjeet Kumar Brajpuriya , Vivek K. Malik , Vishakha Kaushik , Sachin Pathak

Among various types of neuromorphic devices towards artificial intelligence, the electrochemical synaptic transistor emerges, in which the channel conductance is modulated by the insertion of ions according to the history of gate voltage…

Skyrmions, which are topologically stable magnetic structures, have manifested promising features to be used as an information carrier in new-age, non-volatile data storage devices. In this article, Co/Pt square nano-structure with Co-free…

Materials Science · Physics 2025-01-23 Tamali Mukherjee , V Satya Narayana Murthy

Magnetic skyrmions are topologically protected spin textures known for their robustness against perturbations. Their topological stability makes them robust information carriers, ideal for tackling a key challenge in quantum computing:…

Quantum Physics · Physics 2026-01-19 Haowen Yang , Gerald Bissell , Han Zhong , Peter Van Kirk , Tiger Cao , Pengcheng Lu , Yingying Wu

Antiferromagnets are promising materials for future spintronic applications due to their unique properties including zero stray fields, robustness versus external magnetic fields and ultrafast dynamics, which have attracted extensive…

Mesoscale and Nanoscale Physics · Physics 2021-08-18 Xue Liang , Jing Xia , Xichao Zhang , Motohiko Ezawa , Oleg A. Tretiakov , Xiaoxi Liu , Lei Qiu , Guoping Zhao , Yan Zhou

Magnetic skyrmions have potential applications in next-generation spintronics devices with ultralow energy consumption. In this work, the current-driven skyrmion motion in a narrow ferromagnetic nanotrack with voltage-controlled magnetic…

Mesoscale and Nanoscale Physics · Physics 2018-09-24 Junlin Wang , Jing Xia , Xichao Zhang , G. P. Zhao , Jing Wu , Yongbing Xu , Zhigang Zou , Yan Zhou

Integrating topologically stabilized magnetic textures such as skyrmions as nanoscale information carriers into future technologies requires the reliable control by electric currents. Here, we uncover that the relevant skyrmion Hall effect,…

Memristors have been widely studied as artificial synapses in neuromorphic circuits, due to their functional similarity with biological synapses, low operating power, and high integration density. In this work, a memristive synapse,…

Emerging Technologies · Computer Science 2023-08-29 Y. Liu , D. Wang , Z. Dong , H. Xie , W. Zhao

The utilization of two-dimensional (2D) materials in magnetic tunnel junctions (MTJs) has shown excellent performance and rich physics. As for 2D antiferromagnets, the magnetic moments in different layers respond asynchronously and can be…

Mesoscale and Nanoscale Physics · Physics 2025-12-04 Xiaolin Ren , Ruizi Liu , Yiyang Zhang , Yuting Liu , Xuezhao Wu , Kun Qian , Kenji Watanabe , Takashi Taniguchi , Qiming Shao

Magnetic materials that possess large bulk perpendicular magnetic anisotropy (PMA) are essential for the development of magnetic tunnel junctions (MTJs) used in future spintronic memory and logic devices. The addition of an…

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