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Danial Faghihi, Ph.D.

Affiliations: 
2012 Engineering Louisiana State University, Baton Rouge, LA, United States 
Area:
Civil Engineering, Mechanical Engineering, Materials Science Engineering
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"Danial Faghihi"
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George Z. Voyiadjis grad student 2012 Louisiana State
 (Continuum and crystal strain gradient plasticity with energetic and dissipative length scales.)

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Publications

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Faghihi D, Feng X, Lima EABF, et al. (2020) A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth. Journal of the Mechanics and Physics of Solids. 139
Scarabosio L, Wohlmuth B, Oden JT, et al. (2019) Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods Computers & Mathematics With Applications. 78: 2700-2718
Oden JT, Farrell K, Faghihi D. (2015) Estimation of error in observables of coarse-grained models of atomic systems Advanced Modeling and Simulation in Engineering Sciences. 2
Farrell K, Oden JT, Faghihi D. (2015) A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems Journal of Computational Physics. 295: 189-208
Oden JT, Lima EABF, Almeida RC, et al. (2015) Toward Predictive Multiscale Modeling of Vascular Tumor Growth: Computational and Experimental Oncology for Tumor Prediction Archives of Computational Methods in Engineering
Voyiadjis GZ, Faghihi D. (2014) Overview of Enhanced Continuum Theories for Thermal and Mechanical Responses of the Microsystems in the Fast-Transient Process Journal of Engineering Materials and Technology-Transactions of the Asme. 136: 41003
Faghihi D, Voyiadjis GZ. (2014) A thermodynamic consistent model for coupled strain-gradient plasticity with temperature Journal of Engineering Materials and Technology, Transactions of the Asme. 136
Voyiadjis GZ, Faghihi D, Zhang Y. (2014) A theory for grain boundaries with strain-gradient plasticity International Journal of Solids and Structures. 51: 1872-1889
Prudencio EE, Bauman PT, Williams SV, et al. (2014) Real-time inference of stochastic damage in composite materials Composites Part B: Engineering. 67: 209-219
Prudencio EE, Bauman PT, Faghihi D, et al. (2014) A computational framework for dynamic data-driven material damage control, based on Bayesian inference and model selection International Journal For Numerical Methods in Engineering
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