4 hasil untuk "Ryan Cohn"
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Artikel Jurnal
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution
Abstract Recent developments in graph neural networks show promise for predicting the occurrence of abnormal grain growth, which has been a particularly challenging area of research due to its apparent stochastic nature. In this study, we generate a large dataset of Monte Carlo simulations of…
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Artikel Jurnal Teks lengkap
Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis
Microstructural characterization and analysis is the foundation of microstructural science, connecting materials structure to composition, process history, and properties. Microstructural quantification traditionally involves a human deciding what to measure and then devising a method for doing so…
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Artikel Jurnal Teks lengkap
Recent advances and applications of deep learning methods in materials science
Abstract Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. DL allows analysis of unstructured data and automated identification of features. The recent…
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