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Xinyi Gong
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Year
Process-structure linkages using a data science approach: application to simulated additive manufacturing data
E Popova, TM Rodgers, X Gong, A Cecen, JD Madison, SR Kalidindi
Integrating materials and manufacturing innovation 6, 54-68, 2017
1272017
High throughput assays for additively manufactured Ti-Ni alloys based on compositional gradients and spherical indentation
X Gong, S Mohan, M Mendoza, A Gray, P Collins, SR Kalidindi
Integrating Materials and Manufacturing Innovation 6, 218-228, 2017
212017
Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression
X Gong, YC Yabansu, PC Collins, SR Kalidindi
Materials 13 (20), 4641, 2020
112020
Science Approach: Application to Simulated Additive Manufacturing Data
E Popova, TM Rodgers, X Gong, A Cecen, JD Madison, SR Kalidindi
Integrating Materials and Manufacturing Innovation doi 10, 0
5
Process-structure linkages using a data science approach: Application to simulated additive manufacturing data. Integr Mater Manuf Innov, 6: 54–68
E Popova, TM Rodgers, X Gong, A Cecen, JD Madison, SR Kalidindi
42017
High throughput assays for exploring materials space for additive manufacturing
X Gong
Georgia Institute of Technology, 2019
2019
Dynamical Networks for Smog Pattern Analysis
L Zong, X Gong, J Zhu
arXiv preprint arXiv:1511.06869, 2015
2015
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Articles 1–7