Monte-Carlo-Simulation

Modelle in der Materialwissenschaft

Simulationsmethoden

Simulationen in der Materialwissenschaft

Monte-Carlo-Simulation

Die Monte-Carlo-Simulation ist ein statistisches Verfahren, das Zufallsprozesse nutzt, um komplexe Systeme zu modellieren und deren Verhalten zu analysieren. In der Werkstoffwissenschaft ermöglicht sie das Quantifizieren von Unsicherheiten und Vorhersagen von Materialverhalten.

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The influence of randomness of local properties on the mechanical performance of 3D truss metamaterials

Ziemke, P. (Speaker)¹; Chambers, R.G.²; Begley, M.R.²

NextGen Materials 2025: The Convergence of Living Essence and Engineered Innovation

Impact of magnetic excitation on vacancy formation and migration in Fe-Cr systems

Bozkurt, H. (Speaker)¹; Barreteau, C.²; Fu, C.-C.¹; Soisson, F.¹

FEMS EUROMAT 2023

Precipitation of Cr-rich clusters in Fe-Cr alloys correlated with C and N solutes: first principle-based Monte Carlo simulations

Fedorov, M. (Speaker)¹; Wróbel, J.¹; London, A.²; Kurzydłowski, K.³; Fu, C.-C.⁴; Tadić, T.⁵; Dudarev, S.²; Duc Nguyen-Manh, D.²

FEMS EUROMAT 2023

DFT-based machine learning potentials for modelling of Ta-Ti-V-W alloys

Wróbel, J. (Speaker)¹; Goryaeva, A.²; Marinica, M.-C.²; Nguyen-Manh, D.³; Sobieraj, D.¹

FEMS EUROMAT 2023

Bewertung von Einflussgrößen auf die Streuung der Schwingfestigkeit

Jensen, M. (V)¹; Esderts, A.¹; Wächter, M.¹

40. Vortrags- und Diskussionstagung Werkstoffprüfung 2022

Stabilization Mechanism of Aluminum Alloy Foams affected by Primary Crystals and Cell Wall Structures

Takamatsu, S. (Speaker)¹; Arai, T.¹; Suzuki, S.¹

7th International Conference on Cellular Materials - CellMAT 2022

High-accuracy spectral directional emissivity of advanced materials up to 1273 K

López, G.A. (Speaker)¹; Arredondo, I.¹; Echániz, T.¹; Fuente, R.¹; Gabirondo-López, J.¹; González de Arrieta, I.²; Igartua, J.M.¹; López-Ferreño, I.¹; Sainz-Menchón, M.¹

Optimizing the Hydrogen Uptake in MOFs via Machine Learning

JYOTHIS, S. (Speaker)¹; Archana, K.²; Asif, A.³; Radhika, S.²; Sujith, R.²; Tarun, B.¹; Vyshnavi, S.⁴

3D reconstruction of hierarchical nanoporous gold from FIB tomography data using deep neural networks

Sardhara, T. (V)¹; Shkurmanov, A. (V)¹; Aydin, R.C.²; Cyron, C.J.¹; Ritter, M.¹

Verbundwerkstoffe - 23. Symposium Verbundwerkstoffe und Werkstoffverbunde

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Impact of magnetic excitation on vacancy formation and migration in Fe-Cr systems

Bozkurt, H. (Speaker)¹; Barreteau, C.²; Fu, C.-C.¹; Soisson, F.¹

FEMS EUROMAT 2023

Precipitation of Cr-rich clusters in Fe-Cr alloys correlated with C and N solutes: first principle-based Monte Carlo simulations

Fedorov, M. (Speaker)¹; Wróbel, J.¹; London, A.²; Kurzydłowski, K.³; Fu, C.-C.⁴; Tadić, T.⁵; Dudarev, S.²; Duc Nguyen-Manh, D.²

FEMS EUROMAT 2023

Optimizing the Hydrogen Uptake in MOFs via Machine Learning

JYOTHIS, S. (Speaker)¹; Archana, K.²; Asif, A.³; Radhika, S.²; Sujith, R.²; Tarun, B.¹; Vyshnavi, S.⁴

Stabilization Mechanism of Aluminum Alloy Foams affected by Primary Crystals and Cell Wall Structures

Takamatsu, S. (Speaker)¹; Arai, T.¹; Suzuki, S.¹

7th International Conference on Cellular Materials - CellMAT 2022

Bewertung von Einflussgrößen auf die Streuung der Schwingfestigkeit

Jensen, M. (V)¹; Esderts, A.¹; Wächter, M.¹

40. Vortrags- und Diskussionstagung Werkstoffprüfung 2022

DFT-based machine learning potentials for modelling of Ta-Ti-V-W alloys

Wróbel, J. (Speaker)¹; Goryaeva, A.²; Marinica, M.-C.²; Nguyen-Manh, D.³; Sobieraj, D.¹

FEMS EUROMAT 2023

3D reconstruction of hierarchical nanoporous gold from FIB tomography data using deep neural networks

Sardhara, T. (V)¹; Shkurmanov, A. (V)¹; Aydin, R.C.²; Cyron, C.J.¹; Ritter, M.¹

Verbundwerkstoffe - 23. Symposium Verbundwerkstoffe und Werkstoffverbunde

The influence of randomness of local properties on the mechanical performance of 3D truss metamaterials

Ziemke, P. (Speaker)¹; Chambers, R.G.²; Begley, M.R.²

NextGen Materials 2025: The Convergence of Living Essence and Engineered Innovation

High-accuracy spectral directional emissivity of advanced materials up to 1273 K

López, G.A. (Speaker)¹; Arredondo, I.¹; Echániz, T.¹; Fuente, R.¹; Gabirondo-López, J.¹; González de Arrieta, I.²; Igartua, J.M.¹; López-Ferreño, I.¹; Sainz-Menchón, M.¹

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