Accelerating how new drugs are made with machine learning

Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.

Rubber that doesn't grow cracks when stretched many times

Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have increased the fatigue threshold of particle-reinforced rubber, developing a new, multiscale approach that allows the material ...

A catalyst for electronically controlled C–H functionalization

The Chirik Group at the Princeton Department of Chemistry is chipping away at one of the great challenges of metal-catalyzed C–H functionalization with a new method that uses a cobalt catalyst to differentiate between bonds ...

Team discovers rules for breaking into Pseudomonas

Researchers report in the journal Nature that they have found a way to get antibacterial drugs through the nearly impenetrable outer membrane of Pseudomonas aeruginosa, a bacterium that—once it infects a person—is notoriously ...

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