4.8 Article

Diode Characteristics in Magnetic Domain Wall Devices via Geometrical Pinning for Neuromorphic Computing

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Artificial Synapse Based on Vertically Aligned Nanocomposite Ferroelectric Thin Films

Zhen Zhao et al.

Summary: In this study, a silicon-based vertically aligned nanocomposite structure was demonstrated to realize a robust electronic synapse with tunable resistance states. The electronic synapse exhibits synaptic behaviors, such as spike-timing-dependent plasticity, paired pulse facilitation, and paired pulse depression. Furthermore, it shows good conductance modulation capability, which may be promising for image processing and neural computing.

IEEE ELECTRON DEVICE LETTERS (2023)

Article Engineering, Electrical & Electronic

CMOS Compatible Low Power Consumption Ferroelectric Synapse for Neuromorphic Computing

Zhenhai Li et al.

Summary: With the development of bioelectronics, brain-inspired artificial synapses have become increasingly important. A HfAlO ferroelectric tunnel junction (FTJ) was fabricated to simulate artificial synapse, which can simulate short-term synaptic plasticity for neuromorphic computing. The devices achieve synaptic function with low power consumption of about 7.15 aJ per synaptic event. Furthermore, first-principle analysis was conducted to explore the effect of oxygen defects on ferroelectric properties of HfAlO-based device. These results pave the way for hafnium-based ferroelectric synaptic devices.

IEEE ELECTRON DEVICE LETTERS (2023)

Article Physics, Applied

Evaluation of spin-transfer-torque efficiency using magnetization reversal against a magnetic field: comparison of FeCr with negative spin polarization and NiFe

Hirofumi Suto et al.

Summary: We propose and demonstrate an experimental method to evaluate the spin-transfer-torque (STT) efficiency in giant magnetoresistance devices with a current-perpendicular-to-plane configuration, by utilizing STT-induced magnetization reversal against a perpendicular magnetic field. We used this method to estimate the STT efficiency of FeCr with negative spin polarization, a material of interest in spintronics. Compared to NiFe with positive spin polarization, the STT induced by FeCr had the opposite sign, reflecting its negative spin polarization. The STT efficiency of FeCr was approximately half of that of NiFe at room temperature and surpassed NiFe at 50 K.

APPLIED PHYSICS EXPRESS (2023)

Article Multidisciplinary Sciences

Brain-inspired computing needs a master plan

A. Mehonic et al.

Summary: Brain-inspired computing technologies offer high energy efficiency and the ability to handle increasing volumes of unstructured and noisy data. To achieve this, a coordinated plan is needed to bring research communities together and provide the necessary funding, focus, and support.

NATURE (2022)

Review Physics, Multidisciplinary

Domain wall memory: Physics, materials, and devices

Durgesh Kumar et al.

Summary: Digital data generated by corporate and individual users is growing due to the use of digital applications. While flash memory devices are replacing HDDs in certain applications, HDDs still dominate the storage of digital data in cloud and servers. Domain wall memory (DWM) is a potential alternative to HDDs, offering lower power consumption and higher storage capacity. However, there are challenges to be addressed before DWM can become commercially viable.

PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2022)

Article Physics, Applied

Domain wall pinning through nanoscale interfacial Dzyaloshinskii-Moriya interaction

Durgesh Kumar et al.

Summary: Neuromorphic computing utilizes neurons and synapses as building blocks, with domain wall (DW) devices being identified as one of the most energy-efficient options. Control over DW position allows for achieving multi-resistance states, which can be facilitated by the concept of nanoscale interfacial Dzyaloshinskii-Moriya interaction (iDMI).

JOURNAL OF APPLIED PHYSICS (2021)

Article Nanoscience & Nanotechnology

Functional Applications of Future Data Storage Devices

Jia-Qin Yang et al.

Summary: The development of artificial intelligence and big data analytics is revolutionizing data processing and storage methods, requiring new computing systems to address speed and energy consumption issues. Advances in various data storage technologies have made functional computing possible, while an overview of current memory systems and their development history provides required figure of merits for applications like in-memory computing and identifies critical issues for future development.

ADVANCED ELECTRONIC MATERIALS (2021)

Article Materials Science, Multidisciplinary

Domain wall dynamics in (Co/Ni)n nanowire with anisotropy energy gradient for neuromorphic computing applications

Wai Lum William Mah et al.

Summary: Artificial intelligence (AI) has gained attention recently, with brain-inspired neuromorphic computing (NC) being favored for its energy efficiency. Research has focused more on artificial synapses rather than neurons due to the challenge in replicating leaky integrate-and-fire (LIF) properties.

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2021)

Review Nanoscience & Nanotechnology

Prospect of Spintronics in Neuromorphic Computing

Jing Zhou et al.

Summary: Neuromorphic computing, which emulates a biological brain and is seen as a promising approach for next-generation artificial intelligence, is constrained by a lack of dedicated hardware. Spintronics, a fast-evolving discipline that exploits the spin degree of freedom in electronics, shows great potential in combination with neuromorphic computing and traditional manufacturing technologies.

ADVANCED ELECTRONIC MATERIALS (2021)

Article Physics, Applied

Controlled spin-torque driven domain wall motion using staggered magnetic wires

H. Mohammed et al.

APPLIED PHYSICS LETTERS (2020)

Article Materials Science, Multidisciplinary

Spin transfer torque induced domain wall oscillations in ferromagnetic nanowire with a nanoscale Dzyaloshinskii-Moriya interaction region

Durgesh Kumar et al.

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2020)

Article Materials Science, Multidisciplinary

Domain Wall Dynamics in Stepped Magnetic Nanowire with Perpendicular Magnetic Anisotropy

Suleiman Al Risi et al.

PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE (2020)

Review Chemistry, Multidisciplinary

Neuromorphic Engineering: From Biological to Spike-Based Hardware Nervous Systems

Jia-Qin Yang et al.

ADVANCED MATERIALS (2020)

Review Engineering, Electrical & Electronic

Neuromorphic spintronics

J. Grollier et al.

NATURE ELECTRONICS (2020)

Article Engineering, Electrical & Electronic

Ion-Implantation-Induced Disorder in FePt-C Thin Films

Durgesh Kumar et al.

IEEE TRANSACTIONS ON MAGNETICS (2019)

Article Physics, Applied

Staggered Magnetic Nanowire Devices for Effective Domain-Wall Pinning in Racetrack Memory

M. Al Bahri et al.

PHYSICAL REVIEW APPLIED (2019)

Article Physics, Applied

Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites

Tianli Jin et al.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2019)

Article Materials Science, Multidisciplinary

Tilted magnetisation for domain wall pinning in racetrack memory

Tianli Jin et al.

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2019)

Review Physics, Applied

Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives

Abhronil Sengupta et al.

APPLIED PHYSICS EXPRESS (2018)

Article Engineering, Electrical & Electronic

Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

Daniele Ielmini

MICROELECTRONIC ENGINEERING (2018)

Article Nanoscience & Nanotechnology

Tailoring the structural and magnetic properties of masked CoPt thin films using ion implantation

Durgesh Kumar et al.

AIP ADVANCES (2018)

Article Engineering, Electrical & Electronic

Modification of Structural and Magnetic Properties of Masked Co-Pt Films Induced by High-Energy Ion Implantation

Durgesh Kumar et al.

IEEE MAGNETICS LETTERS (2018)

Article Physics, Applied

Direct Observation of Domain-Wall Surface Tension by Deflating or Inflating a Magnetic Bubble

Xueying Zhang et al.

PHYSICAL REVIEW APPLIED (2018)

Article Materials Science, Multidisciplinary

Nanoscale Compositional Modification in Co/Pd Multilayers for Controllable Domain Wall Pinning in Racetrack Memory

Tianli Jin et al.

PHYSICA STATUS SOLIDI-RAPID RESEARCH LETTERS (2018)

Article Multidisciplinary Sciences

Tuning magnetic properties for domain wall pinning via localized metal diffusion

T. L. Jin et al.

SCIENTIFIC REPORTS (2017)

Article Engineering, Biomedical

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets

Abhronil Sengupta et al.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2016)

Article Physics, Applied

Spin orbit torque based electronic neuron

Abhronil Sengupta et al.

APPLIED PHYSICS LETTERS (2015)

Article Multidisciplinary Sciences

Transverse Domain Wall Profile for Spin Logic Applications

S. Goolaup et al.

SCIENTIFIC REPORTS (2015)

Article Physics, Applied

Domain wall pinning for racetrack memory using exchange bias

I. Polenciuc et al.

APPLIED PHYSICS LETTERS (2014)

Article Nanoscience & Nanotechnology

Spin-orbit torques in action

Arne Brataas et al.

NATURE NANOTECHNOLOGY (2014)

Article Chemistry, Multidisciplinary

Beyond von-Neumann Computing with Nanoscale Phase-Change Memory Devices

C. David Wright et al.

ADVANCED FUNCTIONAL MATERIALS (2013)

Article Physics, Multidisciplinary

Current-Induced Torques in the Presence of Spin-Orbit Coupling

Paul M. Haney et al.

PHYSICAL REVIEW LETTERS (2010)

Review Materials Science, Multidisciplinary

Magnetic patterning by means of ion irradiation and implantation

J. Fassbender et al.

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2008)