Pages that link to "Item:Q6164278"
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The following pages link to Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification (Q6164278):
Displaying 8 items.
- Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables (Q1728659) (← links)
- Adaptive hyper reduction for additive manufacturing thermal fluid analysis (Q2020898) (← links)
- Quantification and compensation of thermal distortion in additive manufacturing: a computational statistics approach (Q2022058) (← links)
- Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulation (Q2138688) (← links)
- Reduced order modeling via PGD for highly transient thermal evolutions in additive manufacturing (Q2174151) (← links)
- Electrodynamic machine-learning-enhanced fault-tolerance of robotic free-form printing of complex mixtures (Q2414282) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707446) (← links)
- Physics-informed machine-learning model of temperature evolution under solid phase processes (Q6159327) (← links)
