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Category: News

Paper on predicting mechanical properties of polycrystals by interpretable machine learning published in APL Machine Learning

2.4.2025
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Paper on predicting depinning dynamics by machine learning published in J. Stat. Mech.

26.3.2025
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Photo: Zixuan Deng

David Kurunczi-Papp defends his doctoral dissertation on February 14

24.1.2025
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Paper on domain walls interacting with dislocations published in Communications Materials

22.11.2024
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Paper in Acta Materialia on dynamic length scales in crystal plasticity

15.11.2024
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Paper in Phys. Rev. Lett. on explaining the bump in the avalanche distribution

15.11.2024
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Paper on optimising high-entropy alloys by Bayesian optimisation

1.11.2024
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Barkhausen noise paper published in Materials & Design

12.9.2023
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Paper on predicting mechanical properties of iron polycrystals by machine learning published in Scientific Reports

28.8.2023
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Paper on Barkhausen noise from formation of 360° domain walls in disordered permalloy thin films published in Physical Review Research

13.4.2023
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