Danial Faghihi

19 papers Misc 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predictive Science: A Quest for the Holy. Comput. Sci. Eng. Abani K. Patra, Danial Faghihi, Prashant K. Jha, Lianghao Cao, Kathryn A. Farrell-Maupin
2026	J	`jnl`	Preface to the Special Issue. Comput. Sci. Eng. Danial Faghihi, Prashant K. Jha, Serge Prudhomme
2025	J	`jnl`	Chance Constrained PDE-Constrained Optimal Design Strategies Under High-Dimensional Uncertainty. CoRR Pratyush Kumar Singh, Danial Faghihi
2025	J	`jnl`	Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels. CoRR Md. Azharul Islam, Dwyer Deighan, Shayan Bhattacharjee, Daniel Tantalo, Pratyush Kumar Singh, David Salac, Danial Faghihi
2025	J	`jnl`	Technical Note: Continuum Theory of Mixture for Three-phase Thermomechanical Model of Fiber-reinforced Aerogel Composites. CoRR Pratyush Kumar Singh, Danial Faghihi
2024	J	`jnl`	A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty. CoRR Pratyush Kumar Singh, Kathryn A. Farrell-Maupin, Danial Faghihi
2024	J	`jnl`	UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration. CoRR Georgios Georgalis, Alejandro Becerra, Kenneth Budzinski, Matthew T. McGurn, Danial Faghihi, Paul E. DesJardin, Abani K. Patra
2023	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2023	J	`jnl`	Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration. CoRR Baoshan Liang, Luke Lozenski, Umberto Villa, Danial Faghihi
2022	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2021	J	`jnl`	A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations. CoRR Pedram Maleki, Jingye Tan, Lu An, Massimigliano Di Luigi, Umberto Villa, Chi Zhou, Shenqiang Ren, Danial Faghihi
2021	J	`jnl`	Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. PLoS Comput. Biol. Ernesto A. B. F. Lima, Danial Faghihi, Russell Philley, Jianchen Yang, John Virostko, Caleb M. Phillips, Thomas E. Yankeelov
2020	J	`jnl`	A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty. CoRR Jingye Tan, Umberto Villa, Nima Shamsaei, Shuai Shao, Hussein M. Zbib, Danial Faghihi
2020	J	`jnl`	Moment preserving constrained resampling with applications to particle-in-cell methods. J. Comput. Phys. Danial Faghihi, Varis Carey, Craig Michoski, Robert Hager, Saloman Janhunen, Choong-Seock Chang, Robert D. Moser
2019	J	`jnl`	Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods. Comput. Math. Appl. Laura Scarabosio, Barbara I. Wohlmuth, J. Tinsley Oden, Danial Faghihi
2017	J	`jnl`	A Probabilistic Design Method for Fatigue Life of Metallic Component. CoRR Danial Faghihi, Subhasis Sarkar, Mehdi Naderi, Lloyd Hackel, Nagaraja Iyyer
2015	J	`jnl`	A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems. J. Comput. Phys. Kathryn Farrell, J. Tinsley Oden, Danial Faghihi
2015	J	`jnl`	Estimation of error in observables of coarse-grained models of atomic systems. Adv. Model. Simul. Eng. Sci. J. Tinsley Oden, Kathryn Farrell, Danial Faghihi
2013	Misc	`conf`	A Dynamic Data Driven Application System for Real-time Monitoring of Stochastic Damage. ICCS Erenesto E. Prudencio, Paul T. Bauman, S. V. Williams, Danial Faghihi, K. Ravi-Chandar, J. Tinsley Oden