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My research interests span distributed machine learning and applied physics. Within this fields, I'm interested in federated uncertainty quantification, physics-informed machine learning, and DL-accelerated simulations of geophysical scale flows.

Computational Physics

  1. Chong, K. L., Ng, C. S., Hori, N., Yang, R., Verzicco, R. and Lohse, D., 'Extended lifetime of respiratory droplets in a turbulent vapour puff and its implications on airborne disease transmission', Phys. Rev. Lett., 2021.
  2. Liu, H.-R., Chong, K. L., Wang, Q., Ng, C. S., Verzicco, R. and Lohse, D., 'Two-layer thermally driven turbulence: mechanisms for interface breakup', J. Fluid Mech., 2021.
  3. Ng, C. S., Spandan, V., Verzicco, R. and Lohse, D., ‘Non-monotonic transport mechanisms in vertical natural convection with dispersed light droplets’, J. Fluid Mech., 2020.
  4. Chong, K. L., Li, Y., Ng, C. S., Verzicco, R. and Lohse, D., ‘Convection-dominated dissolution for single and multiple immersed sessile droplets’, J. Fluid Mech., 2020.
  5. Ng, C. S., Ooi, A., Lohse, D. and Chung, D., ‘Bulk scaling in wall-bounded and homogeneous vertical natural convection’, J. Fluid Mech., 2018.
  6. Ng, C. S., Ooi, A., Lohse, D. and Chung, D., ‘Changes in the boundary-layer structure at the edge of the ultimate regime in vertical natural convection’, J. Fluid Mech., 2017.
  7. Ng, C. S., Ooi, A., Lohse, D. and Chung, D., ‘Vertical natural convection: application of the unifying theory of thermal convection’, J. Fluid Mech., 2015.
  8. Ng, C. S., Chung, D., and Ooi, A., ‘Turbulent natural convection scaling in a vertical channel’, Int J. Heat Fluid Flow, 2013.