Materials for organic electronics are presently used in prominent applications, such as
displays in mobile devices, while being intensely researched for other purposes, such as …

Organic materials find application in a range of areas, including optoelectronics, sensing,
encapsulation, molecular separations, and photocatalysis. The discovery of materials is …

Conspectus The ongoing revolution of the natural sciences by the advent of machine
learning and artificial intelligence sparked significant interest in the material science …

Organic electronics such as organic field-effect transistors (OFET), organic light-emitting
diodes (OLED), and organic photovoltaics (OPV) have flourished over the last three …

Machine learning (ML) has become a part of the fabric of high-throughput screening and
computational discovery of materials. Despite its increasingly central role, challenges …

Most discoveries in materials science have been made empirically, typically through one-
variable-at-a-time (Edisonian) experimentation. The characteristics of materials-based …

The advent of big data and algorithmic developments in the field of machine learning (and
artificial intelligence, in general) have greatly impacted the entire spectrum of physical …

Materials development has historically been driven by human needs and desires, and this is
likely to continue in the foreseeable future. The global population is expected to reach ten …

Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …

Materials chemistry is being profoundly influenced by the uptake of machine learning
methodologies. Machine learning techniques, in combination with established techniques …