UD’s Tingyi Gu receives NSF CAREER award to study materials that can create more reliable, less energy-intensive forms of computer memory To develop the types of high-speed, energy-efficient ...

Demand for memory chips currently exceeds supply and there's very little chance of that changing any time soon. More chips for AI means less available for other products such as computers and phones ...

With transistors and logic gates as our basic building blocks, we can begin to construct the actual circuits that make up computer memory. One of the simplest memory circuits is the AND gate, which ...

Scientists maximize the efficiency of hafnia-based ferroelectric memory devices. A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the ...

Researchers have developed a new type of memory device that they say could reduce the energy consumption of artificial intelligence (AI) by at least 1,000. Called computational random-access memory ...

Researchers have developed a technology for voltage-controlled magnetization switching, which has the potential to be implemented in next-generation computational memory. This advanced technology ...

An ultrathin ferroelectric capacitor, designed by researchers from Japan, demonstrates strong electric polarization despite ...