The system’s software uses machine learning to determine the best reaction conditions to maximize either yield or ...
Researchers at EPFL have developed 'Synthegy', a framework that uses large language models to evaluate and guide chemical synthesis planning and reaction mechanism analysis through natural-language ...
In a paper just out in Nature Synthesis, researchers led by Prof. Timothy Noël of the University of Amsterdam's Van 't Hoff ...
Automation is nothing new in chemistry. Robots can synthesize peptides, and they make high-throughput screening possible. A new setup takes this even further, combining software and hardware in an ...
From the perspective of chemists, pleurotin is an intriguing molecule. There is strong evidence of untapped therapeutic properties as a tumor inhibitor and antibiotic. It has a fascinating complex ...
Inspired by what human liver enzymes can do, chemists have developed a new set of copper-catalyzed organic synthesis reactions for building and modifying pharmaceuticals and other molecules. The new ...
A team of researchers has created a machine-learning tool to analyze failed chemical reactions. The system is designed to sift through misfires in researchers’ lab notebooks in search of insights that ...
One of the important objectives of green chemistry is the use of eco-friendly solvents and catalysts to perform chemical reactions. Catalysts such as organocatalysts, enzymes, and ionic liquids have ...
As an engineering plastic having high transparency and impact resistance, polycarbonate (PC) is employed in eyeglass lenses, camera lenses, DVDs, automobile headlights and bulletproof glass. The ...
In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results