As an implementation tool of data intensive scientific research methods, machine learning
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …

Machine learning (ML) and artificial intelligence have accelerated scientific discovery,
augmented clinical practice, and deepened fundamental understanding of many biological …

Strain-engineered elastic platforms that can efficiently distribute mechanical stress under
deformation offer adjustable mechanical compliance for stretchable electronic systems. By …

Abstract Machine Learning (ML) appears to have become the main and foremost approach
to both tackle the hurdles and exploit the opportunities of The Information Age. We present …

The microstructure of polymer materials is an important bridge between their molecular
structure and macroproperties, which is of great significance to be effectively identified. With …

Aliphatic isocyanates and polyisocyanates are central molecules in the fabrication of
polyurethanes, coatings, and adhesives and, due to their excellent mechanical and stability …

Background Tissue engineering and regenerative medicine (TERM) aim to repair or replace
damaged or lost tissues or organs due to accidents, diseases, or aging, by applying different …

Bridging the gap between the computation of mechanical properties and the chemical
structure of elastomers is a long-standing challenge. To fill the gap, we create a raw dataset …

The development of new polymer materials is an emerging field for more than 100 years.
However, it is currently facing major challenges and the application of digital methods can …

The mechanical, electrical, and thermal properties of nanocomposite materials are vastly
superior to those of their bulk counterparts. Adding nanoparticles (sometimes called …