Computing with Field-Coupled Nanomagnets

被引:0
|
作者
Porod, Wolfgang [1 ]
机构
[1] Univ Notre Dame, Notre Dame, IN 46556 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Magnetic phenomena are commonly used for data-storage applications, but there are relatively few attempts to exploit magnetic phenomena for logic applications. In this presentation, we review our recent work on logic functionality in systems of physically-coupled nanometer-scale magnets. Nanomagnets are special in that they exhibit only two distinct stable states of magnetization, which is the basis for their use in magnetic random access memories and in hard disk drives. These latter applications, for which fabrication of dense arrays is under development, face the challenge of avoiding magnetic dipole interactions between individual elements, which limits data storage density. In contrast, these interactions are exploited in the magnetic quantum-dot cellular automata (MQCA) system, which is a network of closely-spaced, dipole-coupled, single-domain nanomagnets designed for digital computation. Our work demonstrates that logic functions can be realized in properly-structured arrays of physically-coupled nanomagnets, and points to the possibility of all-magnetic information processing systems that incorporate both memory and logic.
引用
收藏
页码:375 / 375
页数:1
相关论文
共 50 条
  • [41] Synchronization control of field-coupled neurons with distributed time delays
    An, Xinlei
    Xiong, Li
    Zhang, Li
    Zhang, Jiangang
    Shi, Qianqian
    EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 137 (12):
  • [42] Energy-recovery in field-coupled quantum dot resistors
    Yamaguchi, F
    Kawamura, K
    Hubler, A
    QUANTUM COHERENCE AND DECOHERENCE: FOUNDATIONS OF QUANTUM MECHANICS IN THE LIGHT OF NEW TECHNOLOGY, 1996, : 151 - 154
  • [43] Multi-Molecule Field-Coupled Nanocomputing for the Implementation of a Neuron
    Beretta, Giuliana
    Ardesi, Yuri
    Graziano, Mariagrazia
    Piccinini, Gianluca
    IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2022, 21 : 52 - 59
  • [44] A Reconfigurable Field-Coupled Nanocomputing Paradigm on Uniform Molecular Monolayers
    Ardesi, Yuri
    Beretta, Giuliana
    Fabiano, Christian
    Graziano, Mariagrazia
    Piccinini, Gianluca
    2021 INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING (ICRC 2021), 2021, : 124 - 128
  • [45] Enhancing Fundamental Energy Limits of Field-Coupled Nanocomputing Circuits
    Chaves, Jeferson F.
    Ribeiro, Marco A.
    Torres, Frank Sill
    Vilela Neto, Omar P.
    2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
  • [46] A* is Born: Efficient and Scalable Physical Design for Field-coupled Nanocomputing
    Hofmann, Simon
    Walter, Marcel
    Wille, Robert
    2024 IEEE 24TH INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY, NANO 2024, 2024, : 80 - 85
  • [47] Unusual field-coupled nonlinear continuum mechanics of smart materials
    Oates, William S.
    Wang, Hongbo
    Sierakowski, Robert L.
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2012, 23 (05) : 487 - 504
  • [48] Bistable Propagation of Monostable Molecules in Molecular Field-Coupled Nanocomputing
    Ardesi, Yuri
    Gnoli, Luca
    Graziano, Mariagrazia
    Piccinini, Gianluca
    2019 15TH CONFERENCE ON PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS (PRIME), 2019, : 225 - 228
  • [49] Robustness of the In-Plane Data Crossing for Molecular Field-Coupled Nanocomputing
    Beretta, Giuliana
    Ardesi, Yuri
    Piccinini, Gianluca
    Graziano, Mariagrazia
    2023 IEEE 23RD INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY, NANO, 2023, : 732 - 736
  • [50] Improving Energy Efficiency of Field-Coupled Nanocomputing Circuits by Evolutionary Synthesis
    Ribeiro, Marco A.
    Carvalho, Iago A.
    Chaves, Jeferson F.
    Pappa, Gisele L.
    Vilela Neto, Omar P.
    2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 871 - 878