Hybrid Data-Driven Deep Learning Framework for Material Mechanical Properties Prediction with the Focus on Dual-Phase Steel Microstructures
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DOI: 10.3390/ma16010447
Abstract: A comprehensive approach to understand the mechanical behavior of materials involves costly and time-consuming experiments. Recent advances in machine learning and in the field of computational material science could significantly reduce the need for experiments… read more here.
Keywords: phase steel; dual phase; deep learning; phase ... See more keywords