Simulating the Spin-Transfer Torque Effect

Updates to EXAMAG LLG magnetic field simulation software.


Domain walls move due to the torque from spin-transfer.

Fujitsu just released the latest version of their magnetic field simulation software, EXAMAG LLG. Using parallel computing, the software will be able to predict how magnetic fields will affect the behaviour of objects.

EXAMAG, for instance, can predict the stability and speed of the magnetization process between various magnetic materials. By predicting the effects of magnetic fields on objects, the software can help reduce the number of prototypes and improve the performance for memory devices and hard drives.

The latest version of EXAMAG includes the simulation of the spin-torque effect. This phenomenon occurs when electric currents affect the magnetic orientation of an electron. As next-generation magnetic memory uses this process to record data, users can now help to predict product performance and optimize write/read speeds and power consumption.

Additionally, the simulation of the spin-torque effect can lead to new magnetic materials and devices. These materials could have potential use in DC/DC converters, memory devices, hard drives, non-contact charging units and more. Since the software can predict electron movement based on the shape, type and operating conditions of a magnetic body, these products can be further optimized.

Other improvements to the program include:

  • Faster rendering of graphics
  • Windows and Linux compatibility
  • Improved analysis environment

Source Fujitsu.

Written by

Shawn Wasserman

For over 10 years, Shawn Wasserman has informed, inspired and engaged the engineering community through online content. As a senior writer at WTWH media, he produces branded content to help engineers streamline their operations via new tools, technologies and software. While a senior editor at Engineering.com, Shawn wrote stories about CAE, simulation, PLM, CAD, IoT, AI and more. During his time as the blog manager at Ansys, Shawn produced content featuring stories, tips, tricks and interesting use cases for CAE technologies. Shawn holds a master’s degree in Bioengineering from the University of Guelph and an undergraduate degree in Chemical Engineering from the University of Waterloo.