An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA ...

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and ...

Machine learning models can be a powerful tool to analyze the structure of nanopores in order to uncover tantalizing new properties. But these models struggle to describe what a nanopore looks like.

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are ...

Using artificial intelligence and machine learning algorithms, engineers and scientists have developed a new model to accurately and much more efficiently predict the electronic structure. Susanta ...

So, what are the structures in a supervised learning model such as an image recognition model? • Input structure you should provide to your patent counsel: Does your system have any machine ...

This approach has proven particularly valuable in the search for new 2D materials, where the interplay between structure and properties is complex and often counterintuitive. Machine learning models, ...

It uses large language models and algorithms to analyze patterns in datasets and mimic the style or structure of specific content types. Machine learning (ML), on the other hand, helps computers ...