The cover image of 10/2024 issue of Bioconjugate Chemistry, displaying a tunable ligand-protected gold nanocluster as a drug delivery system with high affinity to integrin αvβ3, a key regulator of ...

(Nanowerk News) Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by ...

The iconic image of a supermassive black hole in the Messier 87 (M87) galaxy—described by astronomers as a "fuzzy orange donut"—was a stunning testament to the capabilities of the Event Horizon ...

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An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...

Researchers at Tohoku University and Shanghai Jiao Tong University have developed a machine learning method published in Nature Communications, enabling the prediction and control of carbon ...

A new study presented at the ACS Spring 2023 meeting shows how the powerful computational techniques behind artificial intelligence tools such as ChatGPT can help chemists train machines to better ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein ...