A new study published in AI Materials presents a comprehensive multi-scale computational framework capable of predicting the ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

Computer simulations and artificial intelligence often make significant errors when predicting the properties of new, ...

Discover expert strategies for selecting optimal labels for single particle tracking in super-resolution microscopy ...

BROCTON — An experimental aquatic habitat reclamation project on Brocton Shoal in Lake Erie is now complete. A groundbreaking ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

An international team led by the University of Michigan has introduced new methods that reveal which regions of the brain ...

Don't prioritize your tasks by what will take the most time—try choosing what will have the biggest impact. That's what the Most Important Task (MIT) method involves: rather than thinking of specific ...

Abstract: Currently, electromagnetic scattering from various targets is widely utilized in high-frequency domains, particularly for aerial and terrestrial targets such as radar detection, ...

Abstract: In this paper we present a processing-efficient method for parameter estimation of a Randles circuit. As our approach is not iterative, it does not require for an initial guess of model ...