3D Materials Data

Werkstoffattribute und ihre charakteristische Bedeutung

Daten in der Werkstoffforschung

Datenanalyse in der Werkstoffforschung

Datensätze in der Werkstoffforschung und -modellierung

3D Materials Data

3D Materials Data beschreibt volumetrische Datensätze zu Mikrostruktur, Gefüge und physikalischen Feldern aus Methoden wie CT, FIB‑SEM-Stacks oder Atomsondentomographie. Repräsentative Repräsentationen, Metadaten, Segmentierung und interoperable Formate sind entscheidend für Modellierung, KI-Auswertung und digitale Zwillinge.

Verwandte Tags

Künstliche Intelligenz

Digitalisierung & Künstliche Intelligenz

Maschinenlernen

In situ 2D und 3D Charakterisierung

Materialcharakterisierung & -prüfung

Quantitative Gefügeanalyse

Prozess- & Fertigungstechnologien

Mikrostrukturmechanik

Materials Modelling, Simulation and Data

Forschung und Entwicklung

Röntgentomographie

Automobil und Fahrzeuge

Werkstoffverhalten unter mechanischer Beanspruchung

Material- & Werkstoffkenntnisse

Materialermüdung

digitale Zwillinge

Erneuerbare Energien & Elektromobilität

Energie und Versorgung

Thermodynamik, Kinetik und Konstitution der Werkstoffe

Luft- und Raumfahrt

metallische Werkstoffe

Aufbau- und Verbindungstechnik

Werkstoffe der Energietechnik

Circular Materials

Simulationsplattformen und Interoperabilität

Thermoprozesstechnik

Nachhaltigkeit & Kreislaufwirtschaft

FIB - Anwendungen in der Materialographie

Datengetriebene Modelle

Polymerwerkstoffe

Qualitätskontrolle und Zertifizierung

Rasterelektronenmikroskopie in der Materialprüfung

Verbundwerkstoffe

Verformung und Bruch

Fertigung und Produktionstechnik

Neue Inhalte

Tagung & Ausstellung

31.08. - 03.09.2026

Kassel & online

Fort- & Weiterbildung

Digital Image Correlation in Materials Testing

Fort- & Weiterbildung

Materialanalyse im Wandel: Tradition trifft KI

10. - 12.03.2026

Saarbrücken & online

PMD-X-MAPRO: Cross-Company Material Data and Material Simulation in Production

Nahshon, Y. (Speaker)¹

MaterialDigital General Assembly 2025

Towards an AI-Supported Semantic Data Infrastructure for Wire-Based Additive Manufacturing

Koschmieder, L. (Speaker)¹

MaterialDigital General Assembly 2025

Project DigitalModelling - Overview

Kostenko, Y. (Speaker)¹; Schweizer, C.²

MaterialDigital General Assembly 2025

DigitalModelling-Module based Modeling

Naumenko, K.¹; Jahnke, A. (Speaker)¹; Kölzow, F.²; Ditzinger, A.²; Garcia Trelles, E.³; Schweizer, C.³

MaterialDigital General Assembly 2025

Prediction of compressive flow curves from nanoindentation via Machine learning

Glosemeyer, M. (Speaker)¹; Wurmshuber, M.¹

Deriving constitutive laws using data-driven, physics-based, and hybrid approaches

Kabliman, E. (Speaker)¹

Statistical Signal Analysis for In-Situ Monitoring of Direct Laser Interference Patterning Using Photodiodes

Wang, W. (Speaker)¹; Britz, D.²; Lasagni, A.³; Voisiat, B.³

Beliebte Inhalte

Analyse und Verarbeitung von experimentellen Mikrostrukturdaten zu drei-dimensionalen Computermodellen

Hartmaier, A. (V)¹

59. Metallographie-Tagung 2025 - Materialographie

Evaluation of damage mechanisms in full-forward rod extruded AISI 5115 steel by AI-based image segmentation

Lingnau, L.A. (V)¹; Heermant, J.¹; Brakmann, C.H.¹; Walther, F.¹

59. Metallographie-Tagung 2025 - Materialographie

Plenary Lecture

Material and Structure for Space and in Space

Ghidini, T. (Speaker)¹

6th Hybrid Materials and Structures 2025 - International Conference on Hybrid Materials

Digital material design and numerical simulations for the development of all-solid-state batteries

Glatt, I. (Speaker)¹

MaterialsWeek 2025

Characterization of 21700 High-Energy Li-Ion Cells: Assessing the Impact of Electrode Composition and Microstructural Design on Battery Performance by Complementary Analytical and Simulative Methods

Weisenberger, C. (Speaker)¹; Both, S.²; Lindner, A.³; Delz, E.⁴; Kukla, K.⁴; Danner, T.⁵; Menesklou, W.³; Waldmann, T.⁶; Latz, A.⁵; Wohlfahrt-Mehrens, M.⁷; Knoblauch, V.¹

MaterialsWeek 2025

KupferDigital: An ontology-based data ecosystem

Eisenbart, M. (Speaker)¹; Brehm, S. (Speaker)²

MaterialsWeek 2025

OpenSemanticLab/ArkEve - Linked-Data-Platform with agentic AI workflows

Stier, S. (Speaker)¹; Popp, M.A.²; Wickmann, R.³; von Hartrott, P.⁴

MaterialsWeek 2025

Digital Transformation in Materials Science through Semantic Technologies and Knowledge Graphs

Schilling, M. (Speaker)¹; Bayerlein, B.¹; von Hartrott, P.²; Waitelonis, J.³; Birkholz, H.⁴; Skrotzki, B.¹

MaterialsWeek 2025

Keynote Lecture

Lightweighting & Advanced Materials: Driver for European Industrial Leadership from a German perspective

Cottone, R. (Speaker)¹

MaterialsWeek 2025

The role of ontologies and automation in the implementation of digitalization of test and simulation of materials

Reh, S. (Speaker)¹; Ardey, S.¹

MaterialsWeek 2025

A Computational Multiscale Framework for the Design of Programmable Metamaterials

Leichner, A. (Speaker)¹; Andrä, H.²; Palmer, T.²; Hemrbock, H.²; Besler, S.³; Wenz, F.⁴

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

Bespoke Materials: The AI-powered Workflow for Efficient Design and Engineering of Innovative Advanced Materials

Tomut, A. (Speaker)¹; Hugo García Aguilar, J.¹; Stephan, R.¹

MaterialsWeek 2025

Advancing Digital Transformation in Material Science: The Role of Workflows within the MaterialDigital Initiative

Schaarschmidt, J. (Speaker)¹; Bekemeier, S.²; Caldeira Rêgo, C.R.¹; Hickel, T.²; Neugebauer, J.³; Waseda, O.³; Wenzel, W.¹

MaterialsWeek 2025

Structure-propery linkages and inverse design of spinodoid architected materials

Otto, A. (Speaker)¹; Rosenkranz, M.²; Kalina, K.²; Kästner, M.¹

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

Digital fiber length determination for injection molded glass fiber reinforced composite materials

Nunheim, N. (Speaker)¹; Blumer, A.¹; Glatt, E.¹; Grießer, A.¹; Rimmel, O.¹

MaterialsWeek 2025

Intelligent 3D monitoring of historical structures with digital twins

Helwing, R. (V)¹; Walther, F.¹

International Conference on System-Integrated Intelligence - SysInt 2025

Towards an AI-Supported Semantic Data Infrastructure for Wire-Based Additive Manufacturing

Koschmieder, L. (Speaker)¹

MaterialDigital General Assembly 2025

Investigation on Laser- and Plasma-Fractionation Effects in LA-ICP-MS

Käser, D. (Speaker)¹; Van Acker, T.²; Hattendorf, B.¹; Günther, D.¹

EWCPS 2025 - 20th European Winter Conference on Plasma Spectrochemistry

PMD-X-MAPRO: Cross-Company Material Data and Material Simulation in Production

Nahshon, Y. (Speaker)¹

MaterialDigital General Assembly 2025

Project DigitalModelling - Overview

Kostenko, Y. (Speaker)¹; Schweizer, C.²

MaterialDigital General Assembly 2025

DigitalModelling-Module based Modeling

Naumenko, K.¹; Jahnke, A. (Speaker)¹; Kölzow, F.²; Ditzinger, A.²; Garcia Trelles, E.³; Schweizer, C.³

MaterialDigital General Assembly 2025

Highlight Lecture

Development of a Design Digital Twin for Metal Additive Manufacturing

Vastola, G. (Speaker)¹; Mikula, J.¹; Laskowski, R.¹; Ling, D.¹; Wenjun, D.¹; Kewu, B.¹; Yingzhi, Z.¹; Hariharaputran, R.¹; Wei, M.¹; Ahuwalia, R.¹; Yong-Wei, Z.¹

4th Symposium on Materials and Additive Manufacturing

Highlight Lecture

Quantifying the impact of calendering on the morphology of nano-structured $\mathrm{Na}_3\mathrm{V}_2 (\mathrm{PO}_4)_3/\mathrm{C}$-cathodes for sodium-ion batteries based on synchrotron tomography

Neumann, M. (Speaker)¹; Bauer, W.²; Binder, J.R.²; Hilger, A.³; Häringer, M.²; Manke, I.³; Osenberg, M.³; Schmidt, V.¹; Schneider, L.²

Understanding and Controlling Discontinuous Precipitation in Magnesium Alloys

Guo, J. (Speaker)¹; Davis, A.¹; Donoghue, J.¹; Lawson, M.¹; Robson, J.¹

Plenary Lecture

Four-Dimensional (4D) Materials Science: Probing Microstructural Evolution of Materials in Real-Time

Chawla, N. (Speaker)¹

Data-Driven Thermal and Percolation Analyses of 3D Composite Structures with Interface Resistance

Fathidoost, M. (Speaker)¹; Yang, y.¹; Oechsner, M.¹; Xu, B.-X.¹

FEMS EUROMAT 2023

Bayesian Optimization for Microstructural Design: An approach using DAMASK and the DRAGen RVE-Generator for damage-tolerant microstructures

Fehlemann, N. (Speaker)¹; Henrich, M.¹; Lenz, D.¹; Münstermann, S.¹

FEMS EUROMAT 2023

Deep Learning Predicts Elasticity Tensors and their Bounds in Homogenization by Links to the Microstructure

Eidel, B. (Speaker)¹

Softwaregestützte Bestimmung von Bruchmechanismen und Bruchflächenmerkmalen mittels Machine Learning und Topographie-Informationen

Sonntag, U. (V)¹; Bettge, D.²; Botsch, B.¹; Hemmleb, M.³; Schmies, L.⁴; Yarysh, A.⁴

56. Metallographie-Tagung 2022 - Materialographie

Dark Field X-ray Microscopy: A New Way of 4D Mapping of Strain and Orientation of Embedded Crystalline Structures

Yildirim, C. (Speaker)¹; Poulsen, H.F.²; Cook, P.³; Simons, H.²; Rodriguez Lamas, R.³; Zelenika, A.³; Kutsal, M.²; Garriga Ferrer, J.³; Detlefs, C.³

FEMS EUROMAT 2023

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