| Mechanical characterization of polysilicon MEMS devices: A stochastic, Deep Learning-based approach JPQ Molina, L Rosafalco, S Mariani 2020 21st International Conference on Thermal, Mechanical and Multi-Physics …, 2020 | 9 | 2020 |
| A two-scale multi-physics deep learning model for smart MEMS sensors JP Quesada-Molina, S Mariani Journal of Materials Science and Chemical Engineering 9 (08), 41-52, 2021 | 7 | 2021 |
| Hybrid model-based and data-driven solution for uncertainty quantification at the microscale JP Quesada-Molina, S Mariani Micro and Nanosystems 14 (4), 281-286, 2022 | 6 | 2022 |
| Stochastic mechanical characterization of polysilicon MEMS: A Deep Learning approach JPQ Molina, L Rosafalco, S Mariani Proceedings 42 (1), 8, 2019 | 5 | 2019 |
| Two-scale deep learning model for polysilicon MEMS sensors JP Quesada-Molina, S Mariani Computer Sciences & Mathematics Forum 2 (1), 12, 2021 | 4 | 2021 |
| Uncertainty quantification at the microscale: a data-driven multi-scale approach JP Quesada-Molina, S Mariani Engineering Proceedings 27 (1), 38, 2022 | 2 | 2022 |
| Deep Learning-based Multiscale Modelling of Polysilicon MEMS JP Quesada-Molina, S Mariani 2022 23rd International Conference on Thermal, Mechanical and Multi-Physics …, 2022 | 2 | 2022 |
| A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction JP Quesada-Molina, S Mariani International Conference on Computational Science, 549-561, 2021 | 1 | 2021 |
| Uncertainty Quantifica-tion at the Microscale: A Data-Driven Multi-Scale Approach. 2022, 4, x JP Quesada-Molina, S Mariani s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| A Deep Learning-Based Approach to Uncertainty Quantification for Polysilicon MEMS JP Quesada-Molina, S Mariani Engineering Proceedings 2 (1), 27, 2021 | | 2021 |
| A physics-informed neural network approach to stochastic homogenization of polycrystalline materials JP Quesada Molina, S Mariani Proccedings of Computer Methods in Metals Technology (KomPlasTech) 2021, 2021 | | 2021 |
| Stochastic Homogenization and Uncertainty Quantification: A Data-Driven Approach JP QUESADA MOLINA, S Mariani 16th US National Congress on Computational Mechanics, 884-884, 2021 | | 2021 |
| Mechanical characterization of polysilicon: a stochastic, deep learning-based approach JP Quesada Molina Politecnico di Milano, 2019 | | 2019 |
| Uncertainty Quantification in Polysilicon-based MEMS: a Rep-resentation Learning Comparison JP Quesada-Molina, S Mariani | | |
Stefano MarianiProfessor of Structural Mechanics, Politecnico di MilanoVerified email at polimi.it
