scholar

2019

X.B. Qi, G.F. Chen, Y. Li, C.P. Li, X. Cheng. Applying Neural Network based Machine Learning to Additive Manufacturing: current applications, challenges and future perspectives, Engineering, 2019(5), 721-729. (IF: 4.568)
亓欣波, 李长鹏, 李阳, 林峰, 李勇, 程宣, 陈国锋. 基于机器学习的电子束选区熔化成形件密度预测，机械工程学报

2018

Wan, H. Y., Chen, G. F., Li, C. P., Qi, X. B., & Zhang, G. P. (2018). Data-driven evaluation of fatigue performance of additive manufactured parts using miniature specimens. Journal of Materials Science & Technology. (IF: 3.609)

2017

X.B. Qi, Y. Chen, X.H. Kang, D.Z. Li, T.Z. Gong. Modeling of coupled motion and growth interaction of equiaxed dendritic crystals in a binary alloy during solidification, Scientific Reports 7 (2017) 45770. (IF: 5.228)

2016

X.B. Qi, Y. Chen, X.H. Kang, D.Z. Li. The Effect of Natural Convection on Equiaxed Dendritic Growth: Quantitative Phase-Field Simulation and Comparison with Synchrotron X-Ray Radiography Monitoring Data, Advances in Materials Science and Engineering, 2016 (2016) 10. (IF: 1.01)

2015:

2014:

Y. Chen, D.Z. Li, B. Billia, H. Nguyen-Thi, X.B. Qi, N.M. Xiao. Quantitative phase-field simulation of dendritic equiaxed growth and comparison with in situ observation on Al-4wt.% Cu alloy by means of synchrotron X-ray radiography, ISIJ Int. 54 (2014) 445-451. (IF: 0.96)

Tools

Materials Databases

E-collaboration toolsets

World leading groups in Phase-field Model:

Useful links