15 citations as recorded by crossref.

1. Developing A Custom-Built Metal Aerosol Processing Chamber: Analysis of Aerosol Coagulation at Low Humidities N. Franco et al. https://doi.org/10.5194/amt-18-5705-2025
2. Facility for production of ambient-like model aerosols (PALMA) in the laboratory: application in the intercomparison of automated PM monitors with the reference gravimetric method S. Horender et al. https://doi.org/10.5194/amt-14-1225-2021
3. Large‐Eddy Simulations of a Convection Cloud Chamber: Sensitivity to Bin Microphysics and Advection F. Yang et al. https://doi.org/10.1029/2021MS002895
4. Contactless optical hygrometry in LACIS-T J. Nowak et al. https://doi.org/10.5194/amt-15-4075-2022
5. Particle deliquescence in a turbulent humidity field D. Niedermeier et al. https://doi.org/10.5194/ar-3-219-2025
6. Hygroscopicity of aerosol particles composed of surfactant SDS and its internal mixture with ammonium sulfate at relative humidities up to 99.9% C. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.119625
7. SCALE-TRACK: Asynchronous Euler-Lagrange particle tracking on heterogeneous computing architecture S. Schmalfuß et al. https://doi.org/10.1016/j.jcp.2026.115335
8. Characterisation of the Manchester Aerosol Chamber facility Y. Shao et al. https://doi.org/10.5194/amt-15-539-2022
9. Maximum Supersaturation in the Marine Boundary Layer Clouds Over the North Atlantic X. Gong et al. https://doi.org/10.1029/2022AV000855
10. The role of turbulent fluctuations in aerosol activation and cloud formation P. Prabhakaran et al. https://doi.org/10.1073/pnas.2006426117
11. Evaporation kinetics of aerosol containing semi-volatile organic compound: Succinic acid/ammonium sulfate aqueous solution droplet C. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.109358
12. Measurements of water droplet size distributions in a turbulent wind tunnel W. Frey et al. https://doi.org/10.5194/essd-18-2305-2026
13. An intercomparison of wall fluxes in a turbulent thermal convection chamber: Direct numerical simulations and wall-modeled large-eddy simulations enhanced by machine learning A. Wang et al. https://doi.org/10.1063/5.0264004
14. Atmospheric Simulation Chambers in the ACTRIS Research Infrastructure H. Fuchs et al. https://doi.org/10.5194/amt-19-4165-2026
15. Droplet Generation in Standing-Surface-Acoustic-Wave Nebulization at Controlled Air Humidity M. Roudini et al. https://doi.org/10.1103/PhysRevApplied.14.014071