Supercomputer Predicts Optical and Thermal Properties of Complex Hybrid Materials

October 8, 2018

Computational models of layered hybrid perovskites open new material design space for light-based applications such as LEDs and water purification


Materials scientists at Duke University computationally predicted the electrical and optical properties of semiconductors made from extended organic molecules sandwiched by inorganic structures. READ THE FULL STORY