Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...
Imagine a microscopic locomotive moving back and forth along a track, propelling itself without any external force. At the molecular level, this concept forms the foundation of molecular motors -- ...
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 ...
Ferrocene is a key molecule for developing molecular machines. However, it readily decomposes on the surface of flat noble metal substrates, marking a significant challenge. Now researchers have ...
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 ...
The complex of ammonium-linked ferrocene (Fc-amm) and crown ether is assembled on a Cu(111) surface, and its sliding motion is activated by hole injection into the ferrocene group using scanning ...
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