Typical Model Studies
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Modeling and Similitude
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Gradually Varying Flow
Multi-input and Multi-variable systems
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Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
Nicola Rares Franco1, Stefania Fresca1, Filippo Tombari1
1MOX, Department of Mathematics, Politecnico di Milano, Milan 20133, Italy.
图形神经网络 (GNN) 为模拟由部分微分方程 (PDEs) 控制的复杂物理系统提供了一个有效的替代方案. 这种数据驱动的方法有效地处理几何变化,并在不同的网格中进行概括,提高计算效率.
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