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Manipulation of magnetic domain walls can be used to improve the capabilities of the next generation of memory and sensing devices. Materials of recent interest for such devices include heterostructures of ultrathin ferromagnets sandwiched…

Mesoscale and Nanoscale Physics · Physics 2018-08-03 S. Ali Nasseri , Eduardo Martinez , Gianfranco Durin

Covalent-polar semiconductors that show intrinsic two-dimensional (2D) vertical polarization present new device opportunities. These materials differ from ordinary ferroelectrics in that they are able to maintain polarization normal to a…

Materials Science · Physics 2019-04-19 Zhun Liu , Yuanhui Sun , David J. Singh , Lijun Zhang

Electric polarization and metallicity are long believed not to coexist until the emergence of exceptionally rare material examples including the bulk polar metals and more recently two-dimensional (2D) van der Waals (vdW) materials such as…

Mesoscale and Nanoscale Physics · Physics 2025-10-13 Zhou Zhou , Xiyao Peng , Jianfeng Bi , Fei Xue , Jie Jiang , Huizhen Wu , Zhiwen Shi , Haoliang Qian , Toshikaze Kariyado , Sihan Zhao

The inverse of the fermion matrix squared is used to define a transfer matrix for domain-wall fermions. When the domain-wall height $M$ is bigger than one, the transfer matrix is complex. Slowly suppressed chiral symmetry violations may…

High Energy Physics - Lattice · Physics 2016-08-25 Yigal Shamir

The Dzyaloshinskii Moriya Interaction (DMI) has laid the foundation for many novel chiral structures such as Skyrmions. In most of the studies so far, the DMI is present in the whole of the magnetic layer. Here, we report our investigations…

Mesoscale and Nanoscale Physics · Physics 2020-04-22 Durgesh Kumar , Rachid Sbiaa , Pinaki Sengupta , S. N. Piramanayagam

Magnetic domain memory (MDM) is the ability exhibited by certain magnetic materials to reproduce the exact same nanoscale magnetic domain pattern, even after it has been completely erased by an external magnetic field. In this chapter, we…

Mesoscale and Nanoscale Physics · Physics 2020-07-13 Karine Chesnel

The present von Neumann computing paradigm involves a significant amount of information transfer between a central processing unit (CPU) and memory, with concomitant limitations in the actual execution speed. However, it has been recently…

Emerging Technologies · Computer Science 2014-07-03 Fabio Lorenzo Traversa , Fabrizio Bonani , Yuriy V. Pershin , Massimiliano Di Ventra

When magnetic skyrmions move under spin orbit torque in magnetic nanowires, they experience a skyrmion Hall effect, which pushes them towards the nanowire edge where they risk being annihilated; this puts an upper limit on how fast they can…

Mesoscale and Nanoscale Physics · Physics 2020-06-23 Xiangjun Xing , Johan Åkerman , Yan Zhou

Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era causes a drastic increase in leakage power consumption and temperature-related…

Hardware Architecture · Computer Science 2019-12-16 Salman Onsori , Arghavan Asad , Kaamran Raahemifar , Mahmood Fathy

We consider Hanany-Witten setups of 3- and 5-branes in type IIB string theory that realize N=(1,0),(2,0) and (1,1) gauged WZW models in 1+1 dimensions. The gauged WZW models arise as theories residing on the boundary of D3 branes ending on…

High Energy Physics - Theory · Physics 2015-09-28 Adi Armoni , Vasilis Niarchos

Understanding the semantic shifts of multimodal information is only possible with models that capture cross-modal interactions over time. Under this paradigm, a new embedding is needed that structures visual-textual interactions according…

Multimedia · Computer Science 2019-10-01 David Semedo , João Magalhães

Integrating magnetic skyrmions into neuromorphic computing could help improve hardware efficiency and computational power. However, developing a scalable implementation of the weighted sum of neuron signals - a core operation in neural…

As an intriguing ultra-small particle-like magnetic texture, skyrmion has attracted lots of research interests in next-generation ultra-dense and low power magnetic memory/logic designs. Previous studies have demonstrated a single…

Emerging Technologies · Computer Science 2017-02-23 Zhezhi He , Shaahin Angizi , Deliang Fan

Existing data for soft magnetic materials of critical current for domain-wall motion, wall speed driven by a magnetic field, and wall electrical resistance, show that all three observable properties are related through a single parameter:…

Mesoscale and Nanoscale Physics · Physics 2009-11-11 L. Berger

We present a nanomechanical device design to be used in a non-volatile mechanical memory point. The structure is composed of a suspended slender nanowire (width : 100nm, thickness 430nm length : 8 to 30$\mu$m) clamped at its both ends.…

Other Computer Science · Computer Science 2008-12-18 B. Charlot , W. Sun , K. Yamashita , H. Fujita , H. Toshiyoshi

Segmented magnetic nanowires are a promising route for the development of three dimensional data storage techniques. Such devices require a control of the coercive field and the coupling mechanisms between individual magnetic elements. In…

A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-destructive read is proposed. The cells can be used as neural computing units. A dual-circuit neural network architecture is proposed to leverage these devices against…

Emerging Technologies · Computer Science 2019-05-31 Andrew W. Stephan , Qiuwen Lou , Michael Niemier , X. Sharon Hu , Steven J. Koester

We study and compare the critical properties of the two-dimensional (2D) XY model in a transverse magnetic field with magnetic filling factors f=1/3 and f=2/5. In addition to the spin waves, the low energy excitations of the system consist…

Statistical Mechanics · Physics 2009-10-28 Colin Denniston , Chao Tang

3D die stacking has often been proposed to build large-scale DRAM-based caches. Unfortunately, the power and performance overheads of DRAM limit the efficiency of high-bandwidth memories. Also, DRAM is facing serious scalability challenges…

Hardware Architecture · Computer Science 2021-08-20 Ananth Krishna Prasad , Mahdi Nazm Bojnordi

Compute in-memory (CIM) is a promising technique that minimizes data transport, the primary performance bottleneck and energy cost of most data intensive applications. This has found wide-spread adoption in accelerating neural networks for…

Hardware Architecture · Computer Science 2020-08-18 Brian Crafton , Samuel Spetalnick , Gauthaman Murali , Tushar Krishna , Sung-Kyu Lim , Arijit Raychowdhury
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