Minghan Xu

Ph.D. (he/him)



A Novel Crystal Growth Model with Nonlinear Interface Kinetics and Curvature Effects: Sensitivity Analysis and Optimization


Journal article


Saad Akhtar, Minghan Xu, Agus P Sasmito
Crystal Growth & Design, vol. 21, ACS Publications, 2021, pp. 3251-3265


Cite

Cite

APA   Click to copy
Akhtar, S., Xu, M., & Sasmito, A. P. (2021). A Novel Crystal Growth Model with Nonlinear Interface Kinetics and Curvature Effects: Sensitivity Analysis and Optimization. Crystal Growth &Amp; Design, 21, 3251–3265. https://doi.org/10.1021/acs.cgd.0c01652


Chicago/Turabian   Click to copy
Akhtar, Saad, Minghan Xu, and Agus P Sasmito. “A Novel Crystal Growth Model with Nonlinear Interface Kinetics and Curvature Effects: Sensitivity Analysis and Optimization.” Crystal Growth & Design 21 (2021): 3251–3265.


MLA   Click to copy
Akhtar, Saad, et al. “A Novel Crystal Growth Model with Nonlinear Interface Kinetics and Curvature Effects: Sensitivity Analysis and Optimization.” Crystal Growth &Amp; Design, vol. 21, ACS Publications, 2021, pp. 3251–65, doi:10.1021/acs.cgd.0c01652.


BibTeX   Click to copy

@article{akhtar2021a,
  title = {A Novel Crystal Growth Model with Nonlinear Interface Kinetics and Curvature Effects: Sensitivity Analysis and Optimization},
  year = {2021},
  journal = {Crystal Growth & Design},
  pages = {3251-3265},
  publisher = {ACS Publications},
  volume = {21},
  doi = {10.1021/acs.cgd.0c01652},
  author = {Akhtar, Saad and Xu, Minghan and Sasmito, Agus P}
}

  • We present a novel crystal growth model coupled with a heterogeneous nucleation model to investigate the dynamics of a recalescence stage during droplet freezing. 
  • A statistical framework is developed for the sensitivity analysis that uses the Monte-Carlo method to quantify the influence of self-diffusivity and the interface kinetic factor on the crystal growth rate, rigorously. 
  • The model parameters are optimized using the minimization of the sum of the least-squares method. 
  • The proposed crystal growth model along with the optimized parameters can reliably simulate linear and nonlinear interface kinetics for metastable water of supercooling up to 30 K. 

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