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Jun-Jing He (贺君敬)
Jun-Jing He (贺君敬)
Other namesJunjing He
International center for Predictive Fundamental Materials Theory
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Synthesizing BaTiO3 Nanostructures to Explore Morphological Influence, Kinetics, and Mechanism of Piezocatalytic Dye Degradation
D Liu, C Jin, F Shan, J He, F Wang
ACS applied materials & interfaces 12 (15), 17443-17451, 2020
1292020
Basic modelling of creep rupture in austenitic stainless steels
J He, R Sandström
Theoretical and Applied Fracture Mechanics 89, 139-146, 2017
622017
Formation of creep cavities in austenitic stainless steels
J He, R Sandström
Journal of Materials Science 51, 6674-6685, 2016
412016
Creep cavity growth models for austenitic stainless steels
J He, R Sandström
Materials Science and Engineering: A 674, 328-334, 2016
362016
Survey of creep cavitation in fcc metals
R Sandström, J He
Study of grain boundary character, 19-42, 2017
342017
Modelling grain boundary sliding during creep of austenitic stainless steels
J He, R Sandström
Journal of materials science 51, 2926-2934, 2016
332016
Application of Fundamental Models for Creep Rupture Prediction of Sanicro 25 (23Cr25NiWCoCu)
J He, R Sandström
Crystals 9 (12), 638, 2019
172019
Brittle rupture of austenitic stainless steels due to creep cavitation
J He, R Sandström
Procedia Structural Integrity 2, 863-870, 2016
152016
Prediction of creep ductility for austenitic stainless steels and copper
R Sandström, JJ He
Materials at High Temperatures, 1-9, 2022
142022
Low-Cycle Fatigue Properties of a Nickel-Based Superalloy Haynes 282 for Heavy Components
J He, R Sandström, S Notargiacomo
Journal of Materials Engineering and Performance 26 (5), 2257–2263, 2017
132017
Enhancing creep resistance of aged Fe–Cr–Ni medium-entropy alloy via nano-sized Cu-rich and NbC precipitates investigated by nanoindentation
J Gao, Z Xu, X Fang, J He, W Li, X Du, Y He, X Jia, S Zhou
Journal of Materials Research and Technology 20, 1860-1872, 2022
122022
Creep rupture prediction using constrained neural networks with error estimates
JJ He, R Sandström
Materials at High Temperatures 39 (3), 239-251, 2022
102022
Creep, low cycle fatigue and creep-fatigue properties of a modified HR3C
J He, R Sandström, S Vujic
Procedia Structural Integrity 2, 871-878, 2016
92016
Application of Soft Constrained Machine Learning Algorithms for Creep Rupture Prediction of an Austenitic Heat Resistant Steel Sanicro 25
JJ He, R Sandström, J Zhang, HY Qin
Journal of Materials Research and Technology 22 (C), 923-937, 2023
82023
Error estimates in extrapolation of creep rupture data and its application to an austenitic stainless steel
R Sandström, JJ He
Materials at High Temperatures 39 (2), 181-191, 2022
82022
Investigation on elastic and thermodynamic properties of Fe25Cr20NiMnNb austenitic stainless steel at high temperatures from first principles
J Zhang, PA Korzhavyi, J He
Computational Materials Science 185, 109973, 2020
82020
First-principles modeling of solute effects on thermal properties of nickel alloys
J Zhang, PA Korzhavyi, J He
Materials Today Communications 28, 102551, 2021
72021
Cobalt-based N-doped bamboo-like graphene tubes with enhanced durability for efficient oxygen reduction reaction in direct borohydride fuel cell
J Wei, H Chen, J He, Z Huang, H Qin, X Xiao, H Ni, H Chi, J He
Carbon 201, 856-863, 2023
62023
Error Estimates in Extrapolation of Creep Rupture Data: Applied to an Austenitic Stainless Steel
R Sandström, J He
ASME Pressure Vessels & Piping Conference PVP2021, 1-7, 2021
62021
Unraveling the valence state and phase transformation of iron-based electrocatalysts towards oxygen reduction reaction
H Chen, T Song, L Lin, H Qin, Y He, Y Huang, H Ni, J He, J Zhang, ...
Journal of Alloys and Compounds 877, 160274, 2021
52021
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Articles 1–20