Researchers developed a computational approach to predict which metal-organic framework (MOF) structures will be the most stable, and therefore the best candidates for applications such as capturing ...

High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action.

Oligonucleotides are short, single strands of synthetic DNA or RNA. Albeit small, these molecules play an important role in molecular and synthetic biology applications. One type of ...

Artificial intelligence is reshaping many fields, and its impact on healthcare grows by the day. Computational neuroscience, using mathematical and ...

Professor Edmund Lam, Dr Ni Chen and their research team from the Department of Electrical and Electronic Engineering under ...

Biomedical engineers at Duke University have significantly enhanced the capabilities of a computational model that simulates the movement of individual cancer cells across long distances within the ...

EV2, a powerful new quantitative AI model trained on the AQCat25 dataset, representing an advancement in computational catalyst discovery. AQCat25-EV2 enables researchers to accelerate the discovery ...

Through cutting-edge methods and advanced artificial intelligence analysis, UNC Charlotte researchers leading a ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.