A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Domain wall memory: Physics, materials, and devices

D Kumar, T **, R Sbiaa, M Kläui, S Bedanta, S Fukami… - Physics Reports, 2022 - Elsevier
Digital data, generated by corporate and individual users, is growing day by day due to a
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …

Advances in magnetics roadmap on spin-wave computing

AV Chumak, P Kabos, M Wu, C Abert… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Magnonics addresses the physical properties of spin waves and utilizes them for data
processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency …

Multiferroic heterostructures integrating ferroelectric and magnetic materials

JM Hu, LQ Chen, CW Nan - Advanced materials, 2016 - Wiley Online Library
Multiferroic heterostructures can be synthesized by integrating monolithic ferroelectric and
magnetic materials, with interfacial coupling between electric polarization and …

Straintronics: a new trend in micro-and nanoelectronics and materials science

AA Bukharaev, AK Zvezdin, AP Pyatakov… - Physics …, 2018 - iopscience.iop.org
The term'straintronics' refers to a new research area in condensed matter physics, in which
strain engineering methods and strain-induced physical effects in solids are used to develop …

Roadmap on magnetoelectric materials and devices

X Liang, A Matyushov, P Hayes, V Schell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The possibility of tuning the magnetic properties of materials with voltage (converse
magnetoelectricity) or generating electric voltage with magnetic fields (direct …

Fast micromagnetic simulations on gpu—recent advances made with

J Leliaert, M Dvornik, J Mulkers… - Journal of Physics D …, 2018 - iopscience.iop.org
In the last twenty years, numerical modeling has become an indispensable part of
magnetism research. It has become a standard tool for both the exploration of new systems …

[HTML][HTML] Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing

A Sengupta, K Roy - Applied Physics Reviews, 2017 - pubs.aip.org
Present day computers expend orders of magnitude more computational resources to
perform various cognitive and perception related tasks that humans routinely perform every …

Understanding and designing magnetoelectric heterostructures guided by computation: progresses, remaining questions, and perspectives

JM Hu, CG Duan, CW Nan, LQ Chen - NPJ Computational Materials, 2017 - nature.com
Magnetoelectric composites and heterostructures integrate magnetic and dielectric materials
to produce new functionalities, eg, magnetoelectric responses that are absent in each of the …

Electric-field control of magnetism via strain transfer across ferromagnetic/ferroelectric interfaces

T Taniyama - Journal of Physics: Condensed Matter, 2015 - iopscience.iop.org
By taking advantage of the coupling between magnetism and ferroelectricity, ferromagnetic
(FM)/ferroelectric (FE) multiferroic interfaces play a pivotal role in manipulating magnetism …