Brian K. Lin

ArcelorMittal Global R&D Asturias

SCHOLARLY PAPERS

2

DOWNLOADS

107

TOTAL CITATIONS

4

Scholarly Papers (2)

1.

Machine-Learning-Aided Density Functional Theory Calculations of Stacking Fault Energies in Steel

Number of pages: 4 Posted: 15 Jun 2023
Lawrence Livermore National Laboratory - Physics Division, Government of the United States of America - Oak Ridge National Laboratory, Lawrence Livermore National Laboratory - Materials Science Division and ArcelorMittal Global R&D Asturias
Downloads 73 (702,991)

Abstract:

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Density functional theory, machine learning, stacking fault energy, steel

2.

A Mesoscale Crystal Plasticity Model to Predict Room-Temperature Deformation and Martensitic Transformation of High-Strength Quenching and Partitioning (Q&P) Steels and Validation with Synchrotron X-ray Diffraction

Number of pages: 44 Posted: 31 Oct 2023
Oak Ridge National Laboratory - Manufacturing Science Division, ArcelorMittal Global R&D Asturias, ArcelorMittal Global R&D Asturias, ArcelorMittal Global R&D Asturias, ArcelorMittal Global R&D Asturias and Government of the United States of America - Oak Ridge National Laboratory
Downloads 34 (1,002,773)
Citation 4

Abstract:

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Quench and partitioning steels, Martensite transformation, Crystal plasticity finite element model, Synchrotron X-Ray diffraction, Strain-path dependence