This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Scientific papers are growing so rapidly that researchers struggle to keep up, but AI analysis of materials science ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...

Cosmic-ray muon sources exhibit distinct scattering angle distributions when interacting with materials of different atomic numbers (Z values), facilitating the identification of various Z-class ...