Damping Gives a Faster Switch
April 6, 2017 | A*STAREstimated reading time: 2 minutes

The optimal material properties required for magnetic memories to have ultra-low power consumption are identified using simulations performed by researchers at A*STAR.
Random access memory, or RAM, is a crucial element in most computers. RAM devices store the information required for the system to complete processes. This information can be written to and retrieved from the random-access memory at a much faster rate than other data storage media, which means that computational processes can be completed more quickly.
Most RAM devices store data electrically in an integrated circuit. However, storing information magnetically could enable even faster operation, making faster computers. Another feature is that magnetic random access memory (MRAM) is non-volatile — which means that, unlike conventional electrical RAM, it doesn’t lose its data when the device is powered down. MRAM store data as the direction of magnetization in a ferromagnetic film. Switching the magnetization, and thus changing the memory from one binary state to another, can be achieved by just applying a magnetic field, but this requires a lot of power.
BingJin Chen and Guchang Han from the A*STAR Data Storage Institute use micromagnetic simulations to investigate electric-field assisted magnetization switching in magnetic random access memories. They identify the ideal material properties required for minimizing the switching time. “We show that a reliable magnetic switching can take place within five nanoseconds for electric-field assisted switching and no other external driving force is needed,” says Chen.
Electric-field assisted switching works because the applied electrical current alters the magnetic properties of the ferromagnetic material, making it more susceptible to a change of magnetization. The small magnetic field associated with the current, known as the Oersted field, is then sufficient to switch the magnetization.
The simulations indicated that a material property known as magnetic damping was important in optimizing the switching time. Damping is a reduction in magnetic field strength as the field penetrates deeper into the material. Chen and Han show that the switching time decreases with an increase in the damping constant and the strength of the Oersted field. The results indicated that when choosing a ferromagnetic material with the best damping constant, switching of an electric-field assisted magnetic random access memory could be as fast as three nanoseconds.
“We hope to move our study from two-terminal devices that both read and write data using the same connections to more stable three-terminal memory structures where these two paths are separated,” says Chen.
Suggested Items
New Database of Materials Accelerates Electronics Innovation
05/02/2025 | ACN NewswireIn a collaboration between Murata Manufacturing Co., Ltd., and the National Institute for Materials Science (NIMS), researchers have built a comprehensive new database of dielectric material properties curated from thousands of scientific papers.
IT Distribution Records Strong Revenue Growth in Q1 Fueled by Personal Computing Purchases Amidst Tariff Uncertainty
05/02/2025 | IDCSales through distribution in North America posted a second consecutive quarter of growth in the first quarter of 2025. Distributor Revenues came in at $19.9B which is a 7.6% increase year-over-year, according to the International Data Corporation (IDC) North America Distribution Track e r (NADT).
INEMI Smart Manufacturing Tech Topic Series: Enhancing Yield and Quality with Explainable AI
05/02/2025 | iNEMIIn semiconductor manufacturing, the ability to analyze vast amounts of high-dimensional data is critical for ensuring product quality and optimizing wafer yield.
Nolan's Notes: The Next Killer App in Component Manufacturing
05/02/2025 | Nolan Johnson -- Column: Nolan's NotesFor quite a while, I’ve been wondering what the next “killer app” will be in electronics manufacturing and why it has been so long since the last disruptive change in EMS. I believe the answer lies in artificial intelligence, which has exploded as the next disruptor.
Keysight EDA, Intel Foundry Collaborate on EMIB-T Silicon Bridge Technology for Next-Generation AI and Data Center Solutions
04/30/2025 | BUSINESS WIREKeysight Technologies, Inc. announced a collaboration with Intel Foundry to support Embedded Multi-die Interconnect Bridge-T (EMIB-T) technology, a cutting-edge innovation aimed at improving high-performance packaging solutions for artificial intelligence (AI) and data center markets in addition to the support of Intel 18A process node.