Jun-Jing He

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KTH Royal Institute of Technology

Sweden

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Recent Grants

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Prediction of creep ductility of austenitic steels based on micro-mechanism and Neural Network

Open Date: 2022-01-01

Close Date: 2024-12-01

Grant: Close

Fundamental creep models of austenitic stainless steels: grain size effects and creep cavitation

Open Date: 2019-08-01

Close Date: 2022-12-01

Grant: Close

High Temperature Performance of Materials for Future Power Plants

Open Date: 2012-10-01

Close Date: 2016-10-01

Articles (18)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (3)

Jing Zhang

KTH Royal Institute of Technology

SWEDEN

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Pavel Korzhavyi

KTH Royal Institute of Technology

SWEDEN

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Rolf Sandström

KTH Royal Institute of Technology

SWEDEN

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Jun-Jing He

Research Interests

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Recent Grants

Articles (18)

Predicting grain boundary sliding in metallic materials

Electrocatalytic activity of PtAuPd/C nano multi-principal element alloy catalyst towards oxygen reduction reaction

Understanding the magnetism-ductility trade-off in FeCoMn alloys: The role of the BCC-B2 transition and Mn occupancies

Unravelling the Role of the BCC-B2 Transition and V Occupancies in the Contradictory Magnetism-Ductility Relationship of FeCoV Alloys

Atomically dispersed high-loading Pt-Fe/C metal-atom foam catalyst for oxygen reduction in fuel cells

Unveiling the microstructure evolution and the short-time tensile creep behavior in the CuCrZr alloy

Effects of hydrolysis degree on ion-doped anion exchange membranes in direct borohydride fuel cells

The role of strength distributions for premature creep failure

Application of soft constrained machine learning algorithms for creep rupture prediction of an austenitic heat resistant steel Sanicro 25

Cobalt-based N-doped bamboo-like graphene tubes with enhanced durability for efficient oxygen reduction reaction in direct borohydride fuel cell

Carbothermal shock synthesis of CoO/N/C nanoparticles with superior durability for oxygen reduction reaction

Evaluating creep rupture life in austenitic and martensitic steels with soft-constrained machine learning

Prediction of creep ductility for austenitic stainless steels and copper

Enhancing creep resistance of aged Fe–Cr–Ni medium-entropy alloy via nano-sized Cu-rich and NbC precipitates investigated by nanoindentation

Creep rupture prediction using constrained neural networks with error estimates

Error estimates in extrapolation of creep rupture data and its application to an austenitic stainless steel

Unraveling the valence state and phase transformation of iron-based electrocatalysts towards oxygen reduction reaction

Investigation on elastic and thermodynamic properties of Fe25Cr20NiMnNb austenitic stainless steel at high temperatures from first principles

Collaborators (3)

Jing Zhang

Pavel Korzhavyi

Rolf Sandström

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