Capturing the evolution of complex quantum systems

Through a new survey, researchers show how mathematical representations named 'tensor trains' can help to capture and simulate the dynamics of evolving quantum systems across a range of different scenarios.

Interactive networks for capturing gas with high selectivity

The selective extraction of specific gas molecules from gaseous mixtures is a complex chemical challenge, with success offering significant commercial and environmental rewards. Capturing carbon dioxide (CO2) from industrial ...

How a molecular motor moves in a network

A new study determines the efficiency of a single-molecule heat engine by considering a series of ratchets that transfer energy along a network.

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