Researchers at Clarkson University are advancing the use of artificial intelligence and computational physics to accelerate discovery of next-generation materials for quantum technologies, optoelectronics, and renewable energy applications.
Associate Professor of Physics Dhara Trivedi recently worked with scientists at Los Alamos National Laboratory on a research project that combined machine learning, high-throughput computational modeling, and quantum-scale simulations to accelerate the discovery of advanced materials with specialized electronic and quantum properties.
The team studied two-dimensional perovskites, a group of materials that could improve technologies such as solar panels, sensors, lasers and next-generation computers. The research was published in npj Computational Materials.
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