Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

As drug discovery places greater emphasis on practical execution and scalable delivery, flow chemistry is playing an increasingly important role across modern synthesis workflows. At the latest Viva ...

Professor Jiawen Chen and Associate Researcher Yan Wang from South China Normal University, in collaboration with Professor Ben L. Feringa's team at the University of Groningen, Netherlands, designed ...

Fast-scanning atomic force microscopy imaging of the molecule at two different time points shows positional shifts along the polymer chain on the left. On the right, the molecular structure of PEG ...

Subscribe to our newsletter for the latest sci-tech news updates. Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have ...

(Nanowerk News) Artificial molecular machines, nanoscale machines consisting of a few molecules, offer the potential to transform fields involving catalysts, molecular electronics, medicines, and ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Threads or ropes can easily be used for braiding, knotting, and weaving. In chemistry, however, processing molecular strands in this way is an almost impossible task. This is because molecules are not ...

The molecule-sized devices activated the same calcium-based cellular signaling mechanism in a live organism, causing whole-body contraction in a fresh-water polyp, or Hydra vulgaris. "This is the ...

Electric vehicles, powered by macroscopic electric motors, are increasingly prevalent on our streets and highways. Now a multidisciplinary team has made an electric motor you can't see with the naked ...