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Huadong Fu
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Dramatically enhanced combination of ultimate tensile strength and electric conductivity of alloys via machine learning screening
H Zhang, H Fu, X He, C Wang, L Jiang, LQ Chen, J Xie
Acta Materialia 200, 803-810, 2020
1972020
A property-oriented design strategy for high performance copper alloys via machine learning
C Wang, H Fu, L Jiang, D Xue, J Xie
npj Computational Materials 5 (1), 87, 2019
1772019
Effect of rolling and aging processes on microstructure and properties of Cu-Cr-Zr alloy
H Fu, S Xu, W Li, J Xie, H Zhao, Z Pan
Materials Science and Engineering: A 700, 107-115, 2017
1772017
Machine learning assisted composition effective design for precipitation strengthened copper alloys
H Zhang, H Fu, S Zhu, W Yong, J Xie
Acta Materialia 215, 117118, 2021
1552021
Effect of Ag addition on the microstructure and mechanical properties of Cu-Cr alloy
S Xu, H Fu, Y Wang, J Xie
Materials Science and Engineering: A 726, 208-214, 2018
1152018
Discovery of aluminum alloys with ultra-strength and high-toughness via a property-oriented design strategy
L Jiang, C Wang, H Fu, J Shen, Z Zhang, J Xie
Journal of Materials Science & Technology 98, 33-43, 2022
882022
Effect of quench cooling rate on residual stress, microstructure and mechanical property of an Fe–6.5 Si alloy
Z Zhang, W Wang, H Fu, J Xie
Materials science and Engineering: A 530, 519-524, 2011
822011
Machine learning for materials research and development
J XIE, Y SU, D XUE, X Jiang, H Fu, H HUANG
Acta Metall Sin 57 (11), 1343-1361, 2021
692021
Physical mechanism interpretation of polycrystalline metals’ yield strength via a data-driven method: A novel Hall–Petch relationship
L Jiang, H Fu, H Zhang, J Xie
Acta Materialia 231, 117868, 2022
652022
Effect of electrode materials on AlN-based bipolar and complementary resistive switching
C Chen, S Gao, G Tang, H Fu, G Wang, C Song, F Zeng, F Pan
ACS Applied Materials & Interfaces 5 (5), 1793-1799, 2013
652013
Deformation twinning feature and its effects on significant enhancement of tensile ductility in columnar-grained Fe–6.5 wt.% Si alloy at intermediate temperatures
J Xie, H Fu, Z Zhang, Y Jiang
Intermetallics 23, 20-26, 2012
632012
Progress in materials genome engineering in China
Y Su, H Fu, Y BAI, X Jiang, J Xie
Acta Metall Sin 56 (10), 1313-1323, 2020
622020
A general and transferable deep learning framework for predicting phase formation in materials
S Feng, H Fu, H Zhou, Y Wu, Z Lu, H Dong
npj Computational Materials 7 (1), 10, 2021
612021
Improvement of magnetic properties of an Fe–6.5 wt.% Si alloy by directional solidification
H Fu, Z Zhang, Y Jiang, J Xie
Materials Letters 65 (9), 1416-1419, 2011
552011
Recent progress in the machine learning-assisted rational design of alloys
H Fu, H Zhang, C Wang, W Yong, J Xie
International Journal of Minerals, Metallurgy and Materials 29 (4), 635-644, 2022
462022
The influence of precipitation transformation on Young's modulus and strengthening mechanism of a Cu–Be binary alloy
X Huang, G Xie, X Liu, H Fu, L Shao, Z Hao
Materials Science and Engineering: A 772, 138592, 2020
432020
Strain-softening behavior of an Fe–6.5 wt% Si alloy during warm deformation and its applications
H Fu, Z Zhang, Q Yang, J Xie
Materials Science and Engineering: A 528 (3), 1391-1395, 2011
432011
Effects of precipitated phase and order degree on bending properties of an Fe-6.5 wt% Si alloy with columnar grains
H Fu, Q Yang, Z Zhang, J Xie
Journal of materials research 26 (14), 1711-1718, 2011
422011
Enhanced mechanical properties of polycrystalline Cu–Al–Ni alloy through grain boundary orientation and composition control
H Fu, S Song, L Zhuo, Z Zhang, J Xie
Materials Science and Engineering: A 650, 218-224, 2016
412016
Effects of grain orientation and precipitates on the superelasticity in directionally solidified FeNiCoAlTaB shape memory alloy
H Fu, W Li, S Song, Y Jiang, J Xie
Journal of Alloys and Compounds 684, 556-563, 2016
392016
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Articles 1–20