Jie Xiong

发表

Machine learning of mechanical properties of steels

Tong-Yi Zhang, S. Shi, Jie Xiong, 2020, Science China Technological Sciences.

Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses

Tong-Yi Zhang, S. Shi, Jie Xiong, 2019, MRS Communications.

SISSO-assisted prediction and design of mechanical properties of porous graphene with a uniform nanopore array

A. Wei, Han Ye, Zhenlin Guo, 2022, Nanoscale advances.

Machine learning of phases and mechanical properties in complex concentrated alloys

Tong-Yi Zhang, S. Shi, Jie Xiong, 2021 .

Gaussian process regressions on hot deformation behaviors of FGH98 nickel-based powder superalloy

Jianchao He, Jie Xiong, Xue-Song Leng, 2022, Journal of Materials Science & Technology.

Analysis of Phase Formations and Mechanical Properties in Complex Concentrated Alloys by Machine Learning Approach

Tong-Yi Zhang, S. Shi, Jie Xiong, 2020, 2008.08341.

Multi-objective machine learning of four mechanical properties of steels

Jie Xiong, QingHua Wei, Sheng Sun, 2021, SCIENTIA SINICA Technologica.

Machine learning prediction of glass-forming ability in bulk metallic glasses

Jie Xiong, Tong-Yi Zhang, San-Qiang Shi, 2021 .

A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys

Jie Xiong, Tong-Yi Zhang, San-Qiang Shi, 2020, Materials & Design.

Identifying the elastic isotropy of architectured materials based on deep learning method

F. Guo, Jie Xiong, Anran Wei, 2020, 2008.00442.

Data-driven glass-forming ability criterion for bulk amorphous metals with data augmentation

Tong-Yi Zhang, Jie Xiong, 2022, Journal of Materials Science & Technology.

Machine learning of mechanical properties of steels

S. Shi, Jie Xiong, Tongyi Zhang, 2020, Science China Technological Sciences.

Machine Learning Approaches to Predicting and Understanding the Mechanical Properties of Steels

Jie Xiong, Tong-Yi Zhang, San-Qiang Shi, 2020, 2003.01943.

Application of Constitutive Models and Machine Learning Models to Predict the Elevated Temperature Flow Behavior of TiAl Alloy

Jianchao He, Jie Xiong, Y. Jing, 2023, Materials.

Deep learning-assisted elastic isotropy identification for architected materials

Jie Xiong, Fenglin Guo, Anran Wei, 2021 .

Data driven discovery of an analytic formula for the life prediction of Lithium-ion batteries

Jie Xiong, Jie Xiong, Tong-Yi Zhang, 2022, Progress in Natural Science: Materials International.

Machine learning of mechanical properties of steels

Tong-Yi Zhang, S. Shi, Jie Xiong, 2020, Science China Technological Sciences.

Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe-Al intermetallics via machine learning

T. Lookman, Kunming Pan, Y. Ren, 2023, Journal of Materials Research and Technology.