has been cited by the following article(s):
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[1]
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Hybrid model-based and data-driven solution for uncertainty quantification at the microscale
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Molina, S Mariani - Micro and Nanosystems,
2022 |
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[2]
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Mechanics of microsystems: A recent journey in a fascinating branch of mechanics
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50+ Years of AIMETA: A Journey …,
2022 |
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[3]
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An Artificial Neural Network Method for High-Accurate and High-Efficient MEMS Pressure Sensor Design
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IEEE Sensors …,
2022 |
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[4]
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On-Chip Tests for the Characterization of the Mechanical Strength of Polysilicon
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Engineering …,
2022 |
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[5]
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Uncertainty Quantification at the Microscale: A Data-Driven Multi-Scale Approach
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Molina, S Mariani - Engineering Proceedings,
2022 |
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[6]
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Uncertainty Quantifica-tion at the Microscale: A Data-Driven Multi-Scale Approach. 2022, 4, x
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Molina,
2022 |
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