The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

From crystallographers' beards to billion-dollar lawsuits, the phenomenon of disappearing polymorphs has puzzled chemists for decades. Now researchers are finally unravelling the science behind why st ...

An AI model can now turn a single photo and clothing images into a moving video of a person wearing new outfits, avoiding the ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Melt flow indexing is evolving to become an even more imperative aspect of the digitized materials testing environment.

For manufacturers handling carbon steel, stainless steel, and aluminum alloys in the same workshop, welding automation often means compromising between equipment investment, material quality, and ...

Thinking ahead is a skill taught to learner drivers from the outset – and the intelligent wheels being developed by Professor Matthias Nienhaus’s research team at Saarland University seem to do just ...

A new study from The University of New Mexico offers a nationwide look at how Americans discuss one of the most enduring ...

Objectives We use new data and robust methods to estimate mortality levels and trends for US states and Washington DC and ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...