AI speeds up discovery of next-gen computer chips and electronic materials
An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.
Researchers at Kyushu University, in collaboration with Osaka University and the Fine Ceramics Center, have developed a framework that uses machine learning to speed up the discovery of materials for green energy technology.
A new research development, published in Nature Communications, from Queen Mary University of London paves the way for faster discovery of novel perovskite materials with desirable properties for applications in wireless communication and biosensors. Perovskites are a class of materials with a wide range of potential uses, but the vast…
Researchers at the University of New Hampshire have harnessed artificial intelligence to accelerate the discovery of new functional magnetic materials, creating a searchable database of 67,573 magnetic materials, including 25 previously unrecognized compounds that remain magnetic even at high temperatures.