Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Researchers used experiments and machine learning to accurately model the disordered atomic structure of amorphous aluminum oxide for the first time. A special feature of aluminum oxide is its ability ...

Machine learning and specifically, deep learning, is a powerful tool to establish the presence (or absence) of microstructure correlations to bulk properties with its ability to flesh out ...

Researchers present ARES (Atomic Rotationally Equivariant Scorer) – a machine learning method that significantly improves the computational prediction of RNA structures over previous approaches. Like ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

Aluminum oxide or alumina is the fruit fly of materials science: thoroughly researched and well-understood. This compound, with the simple chemical formula Al 2 O 3, occurs frequently in Earth's crust ...