Machine learning-aided investigation of immiscible droplet impact on liquid pools across varying depths and droplet viscosities
Author:
Funder
Science and Engineering Research Board (SERB), India
Prime Ministers Research Fellowship (PMRF), Ministry of Education, India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00348-024-03769-1.pdf
Reference37 articles.
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2. Berberović E, van Hinsberg NP, Jakirlić S et al (2009) Drop impact onto a liquid layer of finite thickness: Dynamics of the cavity evolution. Phys Rev E 79:036306. https://doi.org/10.1103/PhysRevE.79.036306
3. Bisighini A, Cossali GE, Tropea C, Roisman IV (2010) Crater evolution after the impact of a drop onto a semi-infinite liquid target. Phys Rev E - Stat Nonlinear, Soft Matter Phys 82:1–11. https://doi.org/10.1103/PhysRevE.82.036319
4. Ersoy NE, Eslamian M (2020) Phenomenological study and comparison of droplet impact dynamics on a dry surface, thin liquid film, liquid film and shallow pool. Exp Therm Fluid Sci 112:109977. https://doi.org/10.1016/j.expthermflusci.2019.109977
5. Girshick R, Donahue J, Darrell T, Malik J (2013) Rich feature hierarchies for accurate object detection and semantic segmentation. Proc IEEE Comput Soc Conf Comput vis Pattern Recognit. https://doi.org/10.1109/CVPR.2014.81
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