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February 6, 2026Applied Thermal Engineering

Multi-objective optimization of Magnetic Czochralski crystal growth process using surrogate modeling and evolutionary algorithm

Ruinian Peng Hongming Tang Jian Wu

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Key Points

Optimized crystal growth improves the yield and quality of magnetic czochralski crystals, paving the way for better materials.
The process uses specific modeling techniques, achieving optimal results without exhaustive resource use or time.
Surrogate modeling combined with an evolutionary algorithm streamlines the optimization process, enhancing overall efficiency.
Findings suggest that this approach may enable advancements in manufacturing techniques for high-performance crystal materials.

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Implication

Observational analysis optimizes crystal growth in magnetic czochralski processes, indicating enhanced efficiency.

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Cite This Study

Peng et al. (2026) studied this question.

synapsesocial.com/papers/69a76872badf0bb9e87e4b35 https://doi.org/10.1016/j.applthermaleng.2026.130075

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