Molecular representation is a critical element in our understanding of the physical world and the foundation for modern molecular machine learning. Previous molecular machine learning models have used ...

Quantori's MLConfGen wins the Machine Learning Innovation Award at the 2026 AI Breakthrough Awards for advancing AI-assisted molecular design.

Formulations consisting of a mixture of chemical ingredients are crucial to a wide range of material science applications. These mixtures have multiple chemical ingredients with well-defined ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Though it might seem like science fiction, scientists are working to build nanoscale molecular machines that can be designed for myriad applications, such as "smart" medicines and materials. But like ...

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 ...

Jeremy Barton is creating an institute to create basic molecular machines. A primary focus is to create basic motors. We need design tools, motors and more. He previously created an group that ...

Imagine tiny machines, smaller than a virus, spinning inside cancer cells and rewiring their behavior from within. No surgery, no harsh chemicals, just precision at the molecular level. Two ...

Molecular motors are biological nanomachines that convert chemical energy into mechanical work at the molecular level. These highly efficient and specialized proteins are responsible for a wide range ...