Supercomputer Predicts Optical and Thermal Properties of Complex Hybrid Materials

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