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ORCIDDanial Faghihi
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2020 – today
- 2024
[i7]Pratyush Kumar Singh, Kathryn A. Farrell-Maupin, Danial Faghihi
:
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty. CoRR abs/2403.08901 (2024)- [i6]Georgios Georgalis, Alejandro Becerra, Kenneth Budzinski, Matthew T. McGurn, Danial Faghihi, Paul E. DesJardin, Abani K. Patra:
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration. CoRR abs/2411.16693 (2024) - 2023
- [j6]Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi:
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging 42(10): 2865-2875 (2023) - [i5]Baoshan Liang, Luke Lozenski, Umberto Villa, Danial Faghihi:
Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration. CoRR abs/2302.06445 (2023) - 2022
- [i4]Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi:
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR abs/2209.12089 (2022) - 2021
- [j5]Ernesto A. B. F. Lima, Danial Faghihi, Russell Philley, Jianchen Yang, John Virostko, Caleb M. Phillips, Thomas E. Yankeelov:
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. PLoS Comput. Biol. 17(11) (2021) - [i3]Pedram Maleki, Jingye Tan, Lu An, Massimigliano Di Luigi, Umberto Villa, Chi Zhou, Shenqiang Ren, Danial Faghihi:
A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations. CoRR abs/2107.12182 (2021) - 2020
- [j4]Danial Faghihi, Varis Carey, Craig Michoski, Robert Hager, Saloman Janhunen, Choong-Seock Chang, Robert D. Moser:
Moment preserving constrained resampling with applications to particle-in-cell methods. J. Comput. Phys. 409: 109317 (2020) - [i2]Jingye Tan, Umberto Villa, Nima Shamsaei, Shuai Shao, Hussein M. Zbib, Danial Faghihi:
A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty. CoRR abs/2012.10823 (2020)
2010 – 2019
- 2019
- [j3]Laura Scarabosio, Barbara I. Wohlmuth, J. Tinsley Oden, Danial Faghihi:
Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods. Comput. Math. Appl. 78(8): 2700-2718 (2019) - 2017
- [i1]Danial Faghihi, Subhasis Sarkar, Mehdi Naderi, Lloyd Hackel, Nagaraja Iyyer:
A Probabilistic Design Method for Fatigue Life of Metallic Component. CoRR abs/1703.07770 (2017) - 2015
- [j2]J. Tinsley Oden, Kathryn Farrell, Danial Faghihi:
Estimation of error in observables of coarse-grained models of atomic systems. Adv. Model. Simul. Eng. Sci. 2(1): 5:1-5:20 (2015) - [j1]Kathryn Farrell, J. Tinsley Oden, Danial Faghihi:
A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems. J. Comput. Phys. 295: 189-208 (2015) - 2013
- [c1]Erenesto E. Prudencio, Paul T. Bauman, S. V. Williams, Danial Faghihi, K. Ravi-Chandar, J. Tinsley Oden:
A Dynamic Data Driven Application System for Real-time Monitoring of Stochastic Damage. ICCS 2013: 2056-2065
Coauthor Index
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