Publications

A Deep Learning Framework for Spatiotemporal Feature Extraction and Characterization of Synchrotron X-Ray Computed Tomography in Stress Corrosion Cracking of AlMg. MS Thesis [paper] [slides]

T. Ciardi*, M. Kalutotage*, P. Tripathi, L. Huang, et al. Automated Image Segmentation and Processing Pipeline Applied to X-Ray Computed Tomography Studies of Pitting Corrosion in Aluminum Wires. Advanced Engineering Materials [paper] [code]

T. Ciardi, A. Nihar, R. Chawla, O. Akanbi, et al. Materials Data Science using CRADLE: A Distributed, Data-centric Approach. MRS Communications [paper]

K. Hernandez, T. Ciardi, R. Yamamoto, M. Lu, et. al L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration. Integrating Materials and Manufacturing Innovation [paper]

B. Pierce, R. Wieser, T. Ciardi, A. Yao, et al. Comparison of Empirical and Data Driven Digital Twins for a PV+Battery Fleet. 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC) [paper]

A. Ngo, K. Hernandez, A. Olatunde, T. Ciardi, et. al Image-Based Fracture Surface Defect Characterization Methods for Additively Manufactured Ti-6Al-4V Tested in Fatigue. Advanced Characterization of Additively Manufactured Materials [paper]

S. Venkat, T. Ciardi, M. Lu, P. DeLeo, et. al A General Materials Data Science Framework for Quantitative 2D Analysis of Particle Growth from Image Sequences. Integrating Materials and Manufacturing Innovation [paper]

A. Nihar, T. Ciardi, R. Chawla, O. Akanbi, et al. Accelerating Time to Science using CRADLE: A Framework for Materials Data Science. 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC) [paper]