Marjan Molavi-Zarandi

Machine learning in laser powder bed fusion: a data-centric review of structural prediction and process optimization

This review provides a comprehensive overview of ML-based approaches applied to LPBF, emphasizing the importance of understanding the underlying physical phenomena that significantly influence data collection, preprocessing, and feature engineering strategies essential for effective model training and validation.