Magnetic Domain-Wall Racetrack Memory
By Stuart S. P. Parkin, M. Hayashi, L. Thomas. Science, 2008
4,171 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/4aa7a4feb18107db498af47a0485fcf3c488c672
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Axel Hoffmann
- M. Chshiev
- Pietro Gambardella
- Bernard Dieny
- T. Jungwirth
- A. Manchon
- J. Sinova
- I. Miron
In Electrical and Electronic Engineering
- Ian F. Akyildiz
- Josep Miquel Jornet
- Axel Hoffmann
- T. Jungwirth
- A. Manchon
- H. Schultheiss
- Wanjun Jiang
- S. Velthuis
In Materials Chemistry
- J. Scott
- Ramamoorthy Ramesh
- M. Chshiev
- Stuart S. P. Parkin
- Bernard Dieny
- J. Shibata
- J. Sinova
- Axel Hoffmann
Citations in the corpus
- Heusler 4.0: Tunable Materials (2016, background): “in 2002 and which has the potential to even replace conventional magnetic data storage (71).”
- Non-adiabatic spin-torques in narrow magnetic domain walls (2010, neutral): “Understanding the magnitude and orientation of such spin-torques is an important problem for spin-dependent transport and current-driven magnetization dynamics, as domain-wall motion underlies a number of emerging spintronic technologie”
- Magnetic texture based magnonics (2020, background): “For samples with a finite size, the shape anisotropy and the energy of the dipolar magnetic field generated outside the magnetic volume also play an important role in the formation of magnetic textures [44, 45, 46, 47, 48, 49].”