Physics-Informed Cross-Scale Prediction of Cooling Rates and Grain Morphology in Additive Manufacturing

Published: 17 December 2025| Version 1 | DOI: 10.17632/r4d3cdksyy.1
Contributor:
YUXIANG JI

Description

The dataset includes machine learning-based finite element model calibration code, simulation model temperature field extraction scripts, cooling gradient prediction model code, cellular automaton programs, and custom simulation batch processing routines. Due to storage constraints, finite element simulation results are not included in the dataset.

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Institutions

  • Xi'an Jiaotong-Liverpool University

Categories

Cellular Automaton, Batch Processing, Deep Learning

Licence