By embedding synthetic DNA into electronic architectures, researchers unlock a class of memory devices capable of simultaneous processing and storage.
Researchers at Penn State University have developed a bio inspired approach to next generation data storage by integrating synthetic DNA with semiconductor materials, opening the door to memory devices that combine ultra high capacity with significantly lower power consumption. The work demonstrates how DNA, known as nature’s most efficient storage system, can be adapted for electronics to support faster data processing and more complex computing needs.
The breakthrough addresses a longstanding challenge of bridging biology and electronics. By combining engineered DNA with crystalline perovskite, the team created a bio hybrid system that enables low power memory operation while maintaining high data density. This could have implications for energy intensive applications such as artificial intelligence and neuromorphic computing, where systems are designed to process and store information simultaneously, similar to the human brain. The researchers note that the device consumes up to 100 times less power compared to conventional technologies while offering higher storage capacity.
At the core of the development is a memristor, a component capable of retaining information even after power is removed. Unlike traditional resistors, this allows data storage and processing to occur in the same location. The team enhanced performance by doping synthetic DNA with silver nanoparticles and integrating it with perovskite thin films, enabling controlled electrical conductivity and structural precision at the nanoscale. The device operates at less than 0.1 volt and has demonstrated stability at elevated temperatures and over extended durations.
Kavya S. Keremane, postdoctoral researcher, “By combining the information storage capabilities of DNA with the exceptional electronic properties of perovskite semiconductors, we created a bio hybrid system that fundamentally changes how low power memory devices can be designed.”
As research progresses, the approach highlights how biologically inspired materials could reshape the future of energy efficient electronics.
