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Marc Bernacki

Mines Paris - PSL

60 Bd Saint-Michel

Paris, 75272

France

SCHOLARLY PAPERS

5

DOWNLOADS

295

TOTAL CITATIONS

2

Scholarly Papers (5)

1.

Statically Recrystallized Grain Size as a Function of Prior Stored Energy Level in the A-286 Fe-Based Superalloy

Number of pages: 27 Posted: 14 Aug 2024
Mines Paris - PSL, Mines Paris - PSL, Mines Paris - PSL, Aperam Alloys Imphy, Aperam Alloys Imphy, Mines Paris - PSL, Mines Paris - PSL and Mines Paris - PSL University
Downloads 99 (699,467)
Citation 1

Abstract:

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Static recrystallization, Indentation, Nucleation, Dislocation density, Grain growth, EBSD

Abstract:

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metallurgy, grain boundary, particle pinning, modelling

3.

Characterization and Modeling of Continuous Dynamic Recrystallization (CDRX): Application to 2139 Aluminum Alloy

Number of pages: 47 Posted: 14 Oct 2025
Mines Paris - PSL, Mines Paris - PSL, Mines Paris - PSL, Constellium Technology Center C-TEC and Mines Paris - PSL
Downloads 64 (933,592)

Abstract:

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Aluminum alloys, Hot forming, Microstructure evolutions, Continuous dynamic recrystallization, Mean-field modeling

Predicting Grain Growth Evolution Under Complex Thermal Profiles with Deep Learning through Thermal Descriptor Modulation

Number of pages: 17 Posted: 31 Mar 2026
Pungponhavoan Tep and Marc Bernacki
Mines Paris - PSL and Mines Paris - PSL
Downloads 26 (1,445,011)

Abstract:

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Microstructure, Grain growth, Grain boundary, Deep learning

Predicting Grain Growth Evolution Under Complex Thermal Profiles with Deep Learning through Thermal Descriptor Modulation

Number of pages: 38 Posted: 29 Jun 2026
Pungponhavoan Tep and Marc Bernacki
Mines Paris - PSL and Mines Paris - PSL
Downloads 7

Abstract:

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microstructure, grain growth, Grain boundary, Deep learning

5.

High-Fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations

Number of pages: 32 Posted: 11 Jun 2025
Pungponhavoan Tep and Marc Bernacki
Mines Paris - PSL and Mines Paris - PSL
Downloads 31 (1,332,057)
Citation 1

Abstract:

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Microstructure, grain growth, grain boundary, Deep learning