Multiscale and multiphysics computational modeling; data-driven predictive modeling; model validation and uncertainty quantification; advanced manufacturing; tumor growth and treatment
Tan, J., Liang, B., Singh, P. K., Maupin, L., Faghihi, D. (2022). Toward Selecting Optimal Predictive Multiscale Models. Computer Methods in Applied Mechanics and Engineering. pp. 115517.
Tan, J., Maleki, P., Luigi, M.D., Villa, U., Zhou, C., Ren, S., Faghihi, D. (2022). A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations. Computational Mechanics, pp.1-23.
Tan, J., Villa, U., Shamsaei, N., Shao, S., Zbib, H.M., Faghihi, D. (2021). A Predictive Discrete- Continuum Multiscale Model of Plasticity with Quantified Uncertainty. International Journal of Plasticity, 138, pp.102935.
Oden, J. T., Babuska, I., Faghihi, D. (2018). Predictive Computational Science: Computer Predictions in the Presence of Uncertainty. In Erwin Stein, Rene de Borst, Thomas J. R. Hughes (eds) Encyclopedia of Computational Mechanics, 2nd Edition. John Wiley & Sons.
Faghihi, D. and Voyiadjis, G.Z. (2012). Determination of nanoindentation size effects and variable material intrinsic length scale for body-centered cubic metals. Mechanics of Materials 44 (2012): 189-211.