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How Wettability Controls Nanoprinting.

Juan Carlos Fernández-Toledano1, Bertrand Braeckeveldt1, Marco Marengo2

  • 1Laboratory of Surface and Interfacial Physics (LPSI), Department of Physics, University of Mons, Mons 7000, Belgium.

Physical Review Letters
|June 23, 2020
PubMed
Summary

Researchers developed a new model for nanodroplet impact, accurately predicting maximal contact diameter (Dmax) and impact time (tmax) on solid surfaces. This advances understanding for applications like nanoprinting.

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Area of Science:

  • Surface Science
  • Nanotechnology
  • Fluid Dynamics

Background:

  • Macroscopic models often fail to accurately describe nanoscale phenomena.
  • Understanding nanodroplet impact dynamics is crucial for micro/nanoscale surface patterning.
  • Existing models do not fully capture the complexities of liquid-solid interactions at the nanoscale.

Purpose of the Study:

  • To investigate the impact of nanometer droplets on solid substrates using molecular dynamics simulations.
  • To develop and validate new models for predicting nanodroplet impact parameters, specifically maximal contact diameter (Dmax) and impact time (tmax).
  • To establish a unified framework for understanding nanodroplet behavior across varying wettabilities and impact velocities.

Main Methods:

  • Large-scale molecular dynamics simulations were employed to model nanodroplet impacts.

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  • Simulation results were compared against established macroscopic models.
  • A novel model for Dmax and a new scaling law for tmax were developed based on simulation data.

    • Main Results:

    • Most existing macroscopic models showed significant discrepancies with nanoscale simulation data for Dmax.
    • The newly developed model for Dmax accurately reflects simulation findings and incorporates liquid-solid wettability.
    • A new scaling law for tmax was identified, correlating with impact velocity and simulation observations.
    • A master curve was generated, unifying nanodroplet contact diameter evolution across different conditions.

    Conclusions:

    • The developed models provide accurate predictions for nanodroplet impact dynamics at the nanoscale.
    • The findings offer insights into optimizing surface coverage in nanoprinting technologies.
    • This work bridges the gap between nanoscale simulations and macroscopic modeling for droplet impacts.