We introduce a modular, chemically inspired deep neural network model for prediction of several atomic and molecular properties.

We are in an era of bioinformatics and cheminformatics where we can predict data in the fields of medicine, the environment, engineering and public health. Approaches with open access in silico too...

The unique properties and structures of metal halide perovskite materials desired for a variety of photocatalytic applications in water splitting, CO ₂ reduction, pollutant degradation, and organic synthesis.