Danial Faghihi
PhD
Research Interests
Multiscale and multiphysics computational modeling; data-driven predictive modeling; model validation and uncertainty quantification; advanced manufacturing; tumor growth and treatment
Selected Publications
- 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.