This special issue on "Applications of Deep Learning in Advanced Materials Processing" seeks to explore the transformative impact of deep learning techniques on the field of materials science and engineering. As materials processing becomes increasingly complex, traditional methods often fall short in optimizing and predicting outcomes. Deep learning offers powerful tools to analyze large datasets, identify patterns, and model processes with unprecedented accuracy. This special issue will cover a broad range of topics, including but not limited to, predictive modeling of material properties, optimization of manufacturing processes, real-time monitoring and control, the discovery of new materials, quality control in manufacturing, and advanced imaging and characterization techniques

We look forward to your submissions addressing the following topics:

• Deep learning in smart manufacturing
• Deep learning assisted materials discovery
• Predictive modeling of microstructure and properties
• Optimization of manufacturing processes
• Real-time monitoring and control
• Quality control in materials processing
• Deep learning for advanced imaging and characterization