| Optimization of casting means and heat treatment routines for improving mechanical and corrosion resistance properties of A356-0.54 Sc casting alloy G Liu, J Gao, C Che, Z Lu, W Yi, L Zhang Materials Today Communications 24, 101227, 2020 | 19 | 2020 |
| A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computations aiming at efficient alloy design J Gao, J Zhong, G Liu, S Yang, B Song, L Zhang, Z Liu Advanced Powder Materials, 2021 | 16 | 2021 |
| Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning W Yi, G Liu, Z Lu, J Gao, L Zhang Journal of Materials Science & Technology 112, 277-290, 2022 | 15 | 2022 |
| Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques W Yi, G Liu, J Gao, L Zhang Journal of Materials Informatics 1 (2), 11, 2021 | 9 | 2021 |
| Revisit the VEC criterion in high entropy alloys (HEAs) with high-throughput ab initio calculations: A case study with Al-Co-Cr-Fe-Ni system S Yang, G Liu, Y Zhong Journal of Alloys and Compounds 916, 165477, 2022 | 6 | 2022 |
| Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations J Gao, J Zhong, G Liu, S Zhang, J Zhang, Z Liu, B Song, L Zhang Science and Technology of Advanced Materials 24 (1), 2196242, 2023 | | 2023 |
Jianbao GAOCentral South University在 csu.edu.cn 的电子邮件经过验证
