The intercalation-based exfoliation of layered materials is a broadly applicable strategy for
the scalable production of atomically thin (from mono-to few-layer) sheets, including …

Active learning and automation will not easily liberate humans from laboratory workflows.
Before they can really impact materials research, artificial intelligence systems will need to …

Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

Deep learning-based object detection models have recently found widespread use in
materials science, with rapid progress made in just the past two years. Scanning and …

In-service exposure to high-energy neutrons embrittles reactor pressure vessel (RPV) steels.
An increase in the yield stress (Δσ y) results in a corresponding increase in the brittle to …

Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …

We investigate whether large language models can perform the creative hypothesis
generation that human researchers regularly do. While the error rate is high, generative AI …

An essential aspect of extending safe operation of the world's active nuclear reactors is
understanding and predicting the embrittlement that occurs in the steels that make up the …

Molecular dynamics (MD) is a powerful tool for modeling structural transformations in
metallic materials under irradiation, severe plastic deformation, laser processing, etc. The …

U-10Zr Metal fuel is a promising nuclear fuel candidate for next-generation sodium-cooled
fast spectrum reactors. Since the Experimental Breeder Reactor-II in the late 1960s …