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

Biology is full of molecular machines, such as motor proteins and ATP synthase, that operate self-sufficiently through cycles of oxidation and reduction. A team of human chemists at the University of ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

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 ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

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 ...

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

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 ...

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