A study from Georgia Tech’s School of Chemical and Biomolecular Engineering introduces LEONARDO, a deep generative AI model that reveals the hidden dynamics of nanoparticle motion in liquid environments. By analyzing over 38,000 experimental trajectories captured through liquid-phase transmission electron microscopy (LPTEM), LEONARDO not only interprets but also generates realistic simulations of nanoscale movement. This innovation marks a major leap in understanding the physical forces at play in nanotechnology, with promising implications for medicine, materials science, and sensor development.

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