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January 1, 2025Computational Intelligence and NeuroscienceOpen Access

RETRACTION: Preparation and Mechanical Properties of High Silicon Molybdenum Cast Iron Materials: Based on Deep Learning Model

Computational Intelligence and Neuroscience

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Key Points

The article retraction indicates issues in the preparation of high silicon molybdenum cast iron materials.
Mechanical properties reported may not be reliable due to flaws in the original research methodology.
Using a deep learning model in materials science can lead to advancements, yet needs rigorous validation.
Retractions highlight necessary scrutiny within scientific research for ensuring accurate findings.

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Implication

Research on high silicon molybdenum cast iron materials using a deep learning model retracted, implying significant issues.

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Cite This Study

Computational Intelligence and Neuroscience (2025) studied this question.

synapsesocial.com/papers/68c1ad4f54b1d3bfb60e4ed9 https://doi.org/10.1155/cone/9803609

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Ultra-Thin-Walled Si-Mo SG Castings Reinforced with Titanium–Molybdenum CarbidesOriginal Research · 2026 · 1 citations
2Evaluation of Microstructure and Abrasive Wear-Resistance of Medium Alloy SiMo Ductile Cast Iron2024 · 10 citations
3Machine learning-mediated composition-process optimization and high strength-toughness performance achievement of ductile ironOriginal Research · 2026
4Engineering of critical cast parts made of high-strength cast iron based on world experience. Report 2. Investigation of mold properties, melting technology development, and production of experimental castings2025
5Effect of Heat Treatments on the Microstructure, Corrosion Resistance and Wear Behaviour of Bainitic/Martensitic Ductile Iron Under Dry Sliding FrictionOriginal Research · 2025

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