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Dr David Crevillén García

Research Staff Member

 
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Contact Details

Affiliation: School of Engineering
E-mail: D dot Crevillen-Garcia(at)warwick dot ac dot uk
Office: F505



 

Research Interests

  • Methods for uncertainty quantification in computational fluid dynamics models: Monte Carlo, quasi Monte Carlo and multilevel Monte Carlo methods
  • Gaussian process emulation of high-dimensional outputs. Bayesian regression and classification models
  • Polynomial Chaos expansions, stochastic Galerkin and stochastic collocation methods for uncertainty quantification in systems of partial differential equations with random inputs
  • Models for Metal Electrodeposition in Redox Flow Batteries: Kinetic Monte Carlo, Molecular Dynamics and Phase Field modelling

Recent Publications

D. Crevillen-Garcia, R.D. Wilkinson, A.A. Shah and H. Power, 2017. Gaussian Process Modelling for Uncertainty Quantification in Convectively-Enhanced Dissolution Processes in Porous Media. Adv. Water Resour. 99, 1-14. http://dx.doi.org/10.1016/j.advwatres.2016.11.006. Download here 

D. Crevillen-Garcia and H. Power, 2017. Multilevel and quasi-Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media. R. Soc. open sci. 4: 170203.
http://dx.doi.org/10.1098/rsos.170203. Download here