16 citations as recorded by crossref.

1. Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges B. Kumar et al. https://doi.org/10.1016/j.parco.2021.102811
2. Scour around offshore wind turbine monopile foundations under tidal flow: CFD-DEM coupled approach N. Zhang et al. https://doi.org/10.1016/j.oceaneng.2025.123411
3. CCN activation in homogeneous isotropic turbulence: Response to particle characteristics and environmental conditions L. Thomas et al. https://doi.org/10.1016/j.atmosres.2023.107095
4. Persistent mixed‐phase states in adiabatic cloud parcels under idealised conditions G. Abade & D. Albuquerque https://doi.org/10.1002/qj.4775
5. Supersaturation Variability from Scalar Mixing: Evaluation of a New Subgrid-Scale Model Using Direct Numerical Simulations of Turbulent Rayleigh–Bénard Convection K. Chandrakar et al. https://doi.org/10.1175/JAS-D-21-0250.1
6. Use of multiplatform in-situ observation to study vertical structure and microphysics of clouds during southwest monsoon over Western Ghats, India P. Leena et al. https://doi.org/10.1016/j.atmosres.2023.106780
7. Impact of aerosols and turbulence on cloud droplet growth: an in-cloud seeding case study using a parcel–DNS (direct numerical simulation) approach S. Chen et al. https://doi.org/10.5194/acp-20-10111-2020
8. Direct numerical simulation of turbulence and microphysics in the Pi Chamber T. MacMillan et al. https://doi.org/10.1103/PhysRevFluids.7.020501
9. Investigation of cloud droplets velocity extraction based on depth expansion and self-fusion of reconstructed hologram P. Gao et al. https://doi.org/10.1364/OE.458947
10. Statistical properties of a stochastic model of eddy hopping I. Saito et al. https://doi.org/10.5194/acp-21-13119-2021
11. The role of thermodynamic forcing in direct numerical simulations of turbulence–cloud microphysics interactions A. Sharfuddin et al. https://doi.org/10.1063/5.0349785
12. Cloud droplet diffusional growth in homogeneous isotropic turbulence: bin microphysics versus Lagrangian super-droplet simulations W. Grabowski & L. Thomas https://doi.org/10.5194/acp-21-4059-2021
13. Hygroscopic Seeding Effects of Giant Aerosol Particles Simulated by the Lagrangian‐Particle‐Based Direct Numerical Simulation S. Chen et al. https://doi.org/10.1029/2021GL094621
14. Modulation of fluid temperature fluctuations by particles in turbulence I. Saito et al. https://doi.org/10.1017/jfm.2021.939
15. Impact of Cloud-Base Turbulence on CCN Activation: Single-Size CCN W. Grabowski et al. https://doi.org/10.1175/JAS-D-21-0184.1
16. Effects of correlated collisions and intermittency on the growth of lucky droplets T. Bätge et al. https://doi.org/10.1073/pnas.2502553123