RIVERSIDE, Calif. -- UC Riverside has received a Collaborative Research and Training Award of nearly $4 million from the UC National Laboratory Fees Research Program to explore how antiferromagnetic spintronics can be used to advantage in advanced memory and computing.
The three-year project proposes to advance microelectronics using antiferromagnetic materials, an ultrafast spin-based technology.
“The semiconductor microelectronics industry is looking for new materials, new phenomena, and new mechanisms to sustain technological advances,” said Jing Shi, a distinguished professor of physics and astronomy at UCR and the award’s principal investigator. “With co-principal investigators at UC San Diego, UC Davis, UCLA, and Lawrence Livermore National Laboratory, we aim to cement the University of California’s leadership in this area and obtain extramural center and group funding in the near future.”
Spintronics is spin-based electronics, exploiting spin, which refers to the intrinsic angular momentum of an electron, for information processing. Antiferromagnetic spintronics is a faster and more compact alternative to the current ferromagnetic spintronics used in devices like hard drives and memory chips.
“With UCR leading this project, we are well positioned to compete nationally for new funding provided by the CHIPS Act,” Shi said. The CHIPS Act provides funding for the Creating Helpful Incentives to Produce Semiconductors (CHIPS) for America Fund to support the domestic production of semiconductors.
Shi explained that in ferromagnetic materials, all electron spins align in the same direction, creating a net magnetic moment. In contrast, antiferromagnets have alternating spin directions, resulting in no net magnetic moment. Despite this, the oppositely aligned spin directions can be flipped to represent two distinct states, which can be used for memory storage.
“The advantage of antiferromagnetic memory is higher density, as the lack of a net magnetic moment means neighboring bits don’t interfere with each other,” Shi said. “Additionally, memory writing in antiferromagnets is faster due to quicker spin dynamics, driven by a quantum interaction called exchange interaction.”
Beyond memory, antiferromagnets also have potential in computing, particularly in “magnetic neural networks.” Special antiferromagnets, called easy-plane antiferromagnets, can carry spin pulses over long distances with minimal energy loss, Shi explained.
“These pulses can propagate information through multiple neural layers, similar to how signals are processed in biological neural networks,” he said. “This is possible because of a quantum state called spin superfluidity, where spin pulses move efficiently through the material without much dissipation.”
Titled “Antiferromagnetic spintronics for advanced memory and computing,” the project will study these special antiferromagnets and investigate their potential. Researchers will use several lab facilities at UCR as well as those at Lawrence Berkeley National Laboratory and Oak Ridge National Lab. The project will also involve the participation of several postdoctoral researchers and graduate students.
Shi said the proposal’s reviewers assessed the research as high risk and high reward.
“There are many challenges ahead, including innovative approaches for designing and synthesizing materials, but our team has strong expertise in antiferromagnetic material synthesis,” he said. “We are confident we can overcome the challenges.”
The UCR team includes Igor Barsukov, an associate professor of physics and astronomy, and others.
The University of California, Riverside is a doctoral research university, a living laboratory for groundbreaking exploration of issues critical to Inland Southern California, the state and communities around the world. Reflecting California's diverse culture, UCR's enrollment is more than 26,000 students. The campus opened a medical school in 2013 and has reached the heart of the Coachella Valley by way of the UCR Palm Desert Center. The campus has an annual impact of more than $2.7 billion on the U.S. economy. To learn more, visit www.ucr.edu.