Physics-informed machine learning for material characterization: A perspective on data-efficient discovery through physics-informed neural networks

A data-efficient machine learning approach for amorphous Fe-based bulk metallic glass fabrication in powder bed fusion

Computer vision and deep learning-based prediction for inkjet-printed electrodes

Machine learning and exploratory data analysis for predicting tensile and thermal responses in friction stir spot welding

Design of speculative artifacts: Integrating generative artificial intelligence, biomaterials, and digital fabrication in co-creative and participatory design