Stanford’s Revolutionary Universal Memory: The Dawn of a Fast, Ultra-Efficient Memory Matrix

Computer Memory Matrix Circuit Art Concept

A new phase-change memory developed by Stanford researchers offers faster, more efficient data processing capabilities. This scalable, low-power, and stable technology could revolutionize computing by improving performance metrics across the board, marking a step toward universal memory. Credit: SciTechDaily.com

Stanford researchers have developed a new phase-change memory that could help computers process large amounts of data faster and more efficiently.

We are tasking our computers with processing ever-increasing amounts of data to speed up drug discovery, improve weather and climate predictions, train artificial intelligence, and much more. To keep up with this demand, we need faster, more energy-efficient computer memory than ever before.

Innovations in Memory Technology

Researchers at Stanford have demonstrated that a new material may make phase-change memory – which relies on switching between high and low resistance states to create the ones and zeroes of computer data – an improved option for future AI and data-centric systems. Their scalable technology, as detailed recently in

“We are not just improving on a single metric, such as endurance or speed; we are improving several metrics simultaneously,” said Eric Pop, the Pease-Ye Professor of Electrical Engineering and professor, by courtesy, of materials science and engineering at Stanford. “This is the most realistic, industry-friendly thing we’ve built in this sphere. I’d like to think of it as a step towards a universal memory.”

Cross-Sections of Phase-Change Memory Devices

Cross-sections of phase-change memory devices in the high- and low-resistance states. The diameter of the bottom electrode is ~40 nanometers. Arrows mark some of the van der Waals (vdW) interfaces, which form between layers of the superlattice materials. The superlattice is disrupted and reformed between the high- and low-resistance states.​ Credit: Courtesy of the Pop Lab

Enhancing Computing Efficiency

Today’s computers store and process data in separate locations. Volatile memory – which is fast but disappears when your computer turns off – handles the processing, while nonvolatile memory – which isn’t as fast but can hold information without constant power input – takes care of the long-term data storage. Shifting information between these two locations can cause bottlenecks while the processor waits for large amounts of data to be retrieved.

“It takes a lot of energy to shuttle data back and forth, especially with today’s computing workloads,” said Xiangjin Wu, co-lead author on the paper and a doctoral candidate co-advised by Pop and Philip Wong, the Willard R. and Inez Kerr Bell Professor in the School of Engineering. “With this type of memory, we’re really hoping to bring the memory and processing closer together, ultimately into one device, so that it uses less energy and time.”

There are many technical hurdles to achieving an effective, commercially viable universal memory capable of both long-term storage and fast, low-power processing without sacrificing other metrics, but the new phase change memory developed in Pop’s lab is as close as anyone has come so far with this technology. The researchers hope that it will inspire further development and adoption as a universal memory.

The Promise of GST467 Alloy

The memory relies on GST467, an SciTechDaily