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A Deep Learning Framework for Predicting Ceramic Viscosity during Sintering
DOI:10.1016/j.ijmecsci.2025.111067.png)
Abstract
En 中文
• Develop a viscosity homogenization method for heterogeneous ceramics. • Achieve rapid, accurate viscosity prediction using a CNN-based deep learning model. • Propose a framework enabling efficient multiscale modeling of sintering of multilayered ceramic.
Journal
IF:
9.4
Papers:
1.0W
Citations:
4.5W
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