Materials Modelling, Simulation and Data

Daten in der Werkstoffforschung

Modellierung in der Werkstofftechnik

Simulationen in der Werkstoff- und Strukturmodellierung

Materials Modelling, Simulation and Data

Materials Modelling, Simulation and Data verbindet mehrskalige Simulationen (DFT, MD, Phasenfeld, FEM) mit datengetriebenen Methoden zur Vorhersage von Struktur‑Eigenschafts‑Beziehungen. High‑throughput‑Berechnungen, Machine‑Learning‑Modelle und Unsicherheitsquantifizierung beschleunigen Materialdesign und Interpretation experimenteller Daten in einem reproduzierbaren digitalen Rahmen.

Verwandte Tags

Neue Inhalte

Tagung & Ausstellung

10. - 12.03.2027

Kreuztal & online

Fort- & Weiterbildung

Mit eigenen Daten chatten – mit KI zum technologischen Wissensvorsprung

26. - 30.10.2026

Tagung & Ausstellung

23. - 25.06.2026

Kassel & online

Tagung & Ausstellung

11. - 13.03.2026

Chemnitz & online

Fort- & Weiterbildung

23. - 27.02.2026

Fort- & Weiterbildung

Mit eigenen Daten chatten – mit KI zum technologischen Wissensvorsprung

02. - 06.02.2026

Intelligent search engine for finding optimised rubber compounds (InSuKa)

Bardehle, A. (Speaker)¹

MaterialDigital General Assembly 2025

Validating Texture and Lattice Strain Multiscale Models via In-situ Neutron Diffraction and Shear Tests

Polatidis, E. (Speaker)¹; Capek, J.²; Upadhyay, M.³

FEMS EUROMAT 2023

Predicting Box-Counting Dimension of Metal Nanoparticles as a Surrogate of Roughness

Ting, J. (Speaker)¹; Wood, A.¹; Barnard, A.¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

FID Materials Science - Your Open Pathway to the World of Materials

Wiehl, H. (Speaker)¹; Slawig, D.²

MaterialsWeek 2025

Beliebte Inhalte

Discovering physical formulas with deep symbolic regression - a universal crack tip correction algorithm

Melching, D. (Speaker)¹; Breitbarth, E.¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Molecular Dynamics Study of effects of Helium configurations on crack tip performance in Nickel

Sharma, S. (Speaker)¹

FEMS EUROMAT 2023

Molecular dynamic simulations of the contact problem for soft polymers

Fritz, S. (Speaker)¹

6th European Symposium on Friction, Wear and Wear Protection - Friction 2024

From text data to word embeddings in Materials Science

Zhang, L. (Speaker)¹; Stricker, M.¹

FEMS EUROMAT 2023

Machine learning interatomic potential to investigate thermodynamic and kinetic properties of (Ag,Cu)GaSe$_2$ solar cell absorbers

Karanikolas, V. (Speaker)¹; Perera, D. (Speaker)¹; Erhard, L.¹; Albe, K.¹

Simulation and verification of mechanical properties of injection molded thermoplastic foam structures

Oikonomou, D. (Speaker)¹; Heim, H.-P.¹

7th International Conference on Cellular Materials - CellMAT 2022

Machine Learning (ML) modelling of Mn-ores reduction, using H2

Mavroforakis, M. (Speaker)¹; Vaios, A.¹; Panias, D.²; Sarkar, A.³

MaterialsWeek 2025

DILEMA-K - Digital life cycle and material development of lead-free piezoelectric and ferritic high-performance ceramics

MaterialDigital General Assembly 2025

Using CT-imaging to evaluate changes in transport properties of thermochemical storage materials

Gollsch, M. (Speaker)¹; Prill, T.¹; Gwerder, D.²; Schütz, P.²; Jahnke, T.¹; Linder, M.¹

Poster (including a video pitch of 3 minutes)

Crystal Plasticity simulations of complex geometries

Moradi Asadkandi, H. (Speaker)¹; Holmedal, B.¹; Hopperstad, O.S.¹; Mánik, T.¹

Comparing heat flux simulation of a LiFePO4 coin cell battery based on self-measured materials data with experimental heat flux measurements

Buch, J. (Speaker)¹; Damm, M.¹; Ganninger, P.¹; Henriques, D.¹; Leskow, R.¹

Wie wir die KI-gestützte Gefügeanalyse durch korrelative Mikroskopieansätze vorantreiben können

Bachmann, B.-I. (V)¹; Britz, D.¹; Mücklich, F.²; Müller, M.¹

59. Metallographie-Tagung 2025 - Materialographie

Modulus and yield strength measurements of ALD coatings with thicknesses between 5nm and 100nm

Chudoba, T. (Speaker)¹; Mackosz, K.²; Utke, I.²

FEMS EUROMAT 2023

Ontologies for defects in crystals and computational samples

Azocar Guzman, A. (Speaker)¹; Menon, S.²; Hofmann, V.¹; Hickel, T.²; Sandfeld, S.¹

Fachausschuss Materials Modelling, Simulation and Data

Keynote Lecture

Material modelling methods for metal manufacturing

Autenrieth, H. (Speaker)¹; Waldenmaier, T.¹

Numerical Simulation for Optimizing Wafer Level Lens Forming Process

Jeon, D. (Speaker)¹; Park, M.²; Kim, S.¹

FEMS EUROMAT 2023

Shape-memory ceramics: Machine learning potential for Zr1-xCexO2 with experimental-level accuracy

Zhang, J.-Y. (Speaker)¹; Huynh, G.¹; Albaret, T.¹; Dai, F.-Z.²; Rodney, D.¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Numerical and experimental analysis of residual stresses in WAAMed S316L stainless steel parts

Sarmast, A. (Speaker)¹; Schubnell, J.¹

4th Symposium on Materials and Additive Manufacturing

Digitalizing a lab course for undergraduate students: ELN, ontology, data management

Bruns, S. (Speaker)¹; Bayerlein, B.²; Grönewald, M.³; Kryeziu, J.⁴; Schilling, M.²; Waitelonis, J.⁵

FEMS EUROMAT 2023

Data-driven Modelling for Metal Yield Prediction in Hydrometallurgical Recycling Processes of Lithium-ion Batteries in Batch Reactor

Song, W. (Speaker)¹; Diaz, F.¹; Friedrich, B.¹

FEMS EUROMAT 2023

Numerical modelling of friction stir welded Ti6Al4V alloys- challenges, and opportunities

Faraji, M. (Speaker)¹; Martin, J.²; Al-Moussawi, M.³

Finding Visual Experimental Datasets Embedded in Materials Science Literature

Gupta, V. (Speaker)¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Macromechanical fracture assessment of a layered structure with an organic-inorganic sol-gel thin layer

Duda, S. (Speaker)¹; Zielonka, P.¹; Szczurek, J.¹; Mech, R.¹; Lesiuk, G.¹; Krzak, J.¹

Classification of wear characteristics from measured forces with machine learning models

Zhu, S. (Speaker)¹; Hanke, S.¹; Sieberg, P.¹

Non-destructive damage detection of hidden damages in Fibre Metal Laminates composites using X-ray imaging and machine learning algorithms

Shah, C. (Speaker)¹; Bosse, S.²; von Hehl, A.¹

Towards an ontology-based digital twin for graphene-based conductor materials

Teichert, F. (Speaker)¹; Fuchs, F.¹

MaterialDigital General Assembly 2025

Nonuniform Transformation Field Analysis for materials with strong temperature dependence with application to laser cladding

Fritzen, F. (Speaker)¹; Herb, J.¹; Sharba, S.²

Bewertung des Porositätseinfluss auf lokale mechanische Eigenschaften von Aluminiumgussbauteilen mittels digitaler Datenfusion

Lienhard, J. (V)¹

40. Vortrags- und Diskussionstagung Werkstoffprüfung 2022

Investigation of Dynamics at the Front Side in Laser Flash Analysis: Modeling and Adjustment for Enhanced Thermophysical Insights

Narymany Shandy, A. (Speaker)¹; Hermberger, F.²; Manara, J.²; Zipf, M.³; Stark, T.²; Hartmann, J.³

Correlative imaging of biodegradable Mg-based alloys using in situ synchrotron radiation-based nano CT and (S)TEM

Reimers, J. (Speaker)¹; Lipinska-Chwalek, M.²; Mayer, J.²; Willumeit-Römer, R.³; Zeller-Plumhoff, B.³

FEMS EUROMAT 2023

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