| Molecular dynamics simulation of nanoindentation in Al and Fe: On the influence of system characteristics HT Luu, SL Dang, TV Hoang, N Gunkelmann Applied Surface Science 551, 149221, 2021 | 50 | 2021 |
| Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning TQD Pham, TV Hoang, X Van Tran, QT Pham, S Fetni, L Duchêne, ... Journal of Intelligent Manufacturing 34 (4), 1701-1719, 2023 | 23 | 2023 |
| A computational stochastic multiscale methodology for MEMS structures involving adhesive contact TV Hoang, L Wu, S Paquay, JC Golinval, M Arnst, L Noels Tribology International 110, 401-425, 2017 | 15 | 2017 |
| Stochastic Multiscale Model of MEMS Stiction Accounting for High-Order Statistical Moments of Non-Gaussian Contacting Surfaces TV Hoang, L Wu, JC Golinval, M Arnst, L Noels JOURNAL OF MICROELECTROMECHANICAL SYSTEMS 27 (2), 137-155, 2018 | 11 | 2018 |
| Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model TQD Pham, TV Hoang, XV Tran, S Fetni, L Duchêne, HS Tran, ... Probabilistic Engineering Mechanics 69, 103297, 2022 | 10 | 2022 |
| Data-driven prediction of temperature evolution in metallic additive manufacturing process T Quy Duc Pham, T Vinh Hoang, Q Tuan Pham, T Phuc Huynh, ... 24th International Conference on Material Forming, 2021 | 10 | 2021 |
| Capabilities of Auto-encoders and Principal Component Analysis of the reduction of microstructural images; Application on the acceleration of Phase-Field simulations S Fetni, TQD Pham, TV Hoang, HS Tran, L Duchêne, XV Tran, ... Computational Materials Science 216, 111820, 2023 | 6 | 2023 |
| An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion TV Hoang, HG Matthies International Journal for Uncertainty Quantification 11 (4), 1-17, 2021 | 6 | 2021 |
| Analysis of polymorphic data uncertainties in engineering applications M Drieschner, HG Matthies, TV Hoang, BV Rosić, T Ricken, C Henning, ... GAMM‐Mitteilungen, e201900010, 2019 | 6 | 2019 |
| Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation TV Hoang, S Krumscheid, HG Matthies, R Tempone arXiv preprint arXiv:2106.07908, 2021 | 5 | 2021 |
| A probabilistic model for predicting the uncertainties of the humid stiction phenomenon on hard materials TV Hoang, L Wu, S Paquay, AC Obreja, RC Voicu, R Müller, JC Golinval, ... Journal of Computational and Applied Mathematics 289, 173-195, 2015 | 5 | 2015 |
| Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach TQD Pham, TV Hoang, XV Tran, S Fetni, L Duchêne, HS Tran, ... Key Engineering Materials 926, 323-330, 2022 | 4 | 2022 |
| Characterization and propagation of uncertainties associated with limited data using a hierarchical parametric probability box TV Hoang, B Rosić, HG Matthies PAMM 18 (1), e201800475, 2018 | 3 | 2018 |
| Iterative spectral identification of bone macroscopic properties described by a probability box B Rosić, S Kumar Shivanand, TV Hoang, H G. Matthies PAMM 18 (1), e201800404, 2018 | 2 | 2018 |
| A study of dry stiction phenomenon in MEMS using a computational stochastic multi-scale methodology TV Hoang, L Wu, S Paquay, JC Golinval, M Arnst, L Noels 2016 17th International Conference on Thermal, Mechanical and Multi-Physics …, 2016 | 2 | 2016 |
| A framework for the robust optimization under uncertainty in additive manufacturing TQD Pham, TV Hoang, XV Tran, S Fetni, L Duchêne, HS Tran, ... Journal of Manufacturing Processes 103, 53-63, 2023 | 1 | 2023 |
| Assessment of Structural Integrity Using Machine Learning TV Hoang, VX Tran, VD Nguyen, QH Nguyen, VS Bui Research in Intelligent and Computing in Engineering: Select Proceedings of …, 2021 | 1 | 2021 |
| A stochastic multi-scale model for predicting MEMS stiction failure TV Hoang, L Wu, S Paquay, JC Golinval, M Arnst, L Noels Micro and Nanomechanics, Volume 5: Proceedings of the 2016 Annual Conference …, 2017 | 1 | 2017 |
| Scalable method for Bayesian experimental design without integrating over posterior distribution V Hoang, L Espath, S Krumscheid, R Tempone arXiv preprint arXiv:2306.17615, 2023 | | 2023 |
| Viscoplasticity model stochastic parameter identification: Multi-scale approach and Bayesian inference CU Nguyen, TV Hoang, E Hadzalic, S Dobrilla, HG Matthies, ... Coupled Systems Mechanics 11 (5), 411, 2022 | | 2022 |
Anne HabrakenDirectrice de recherches FNRS, Leader of Group MSM Université de LiègeVerified email at ulg.ac.be
