Materialwissenschaft

Material und Materialien in der Werkstofftechnik

Forschung in den Werkstoffwissenschaften

Materialwissenschaft

Materialwissenschaft untersucht Aufbau, Verarbeitung, Eigenschaften und Verhalten von Werkstoffen über Längen- und Zeitskalen hinweg. Sie verknüpft chemische Zusammensetzung, Kristallstruktur, Mikrostruktur und Defekte mit mechanischen, thermischen, elektrischen, optischen und chemischen Eigenschaften. Methodisch kombiniert sie Synthese, Charakterisierung, Modellierung und Simulation, um Struktur-Eigenschafts-Beziehungen zu verstehen und neue Materialien gezielt zu entwickeln.

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Neue Inhalte

The MSE Knowledge Graph: Centralizing Metadata for Enhanced Data Integration

Norouzi, E. (Speaker)¹; Azócar Guzmán, A.²; Beygi Nasrabadi, H.¹; Fathalla, S.²; Fliegl, H.¹; Gedsun, A.³; Hofmann, V.²; Sack, H.¹; Sandfeld, S.²; Waitelonis, J.¹; Zainul Ihsan, A.²

MaterialsWeek 2025

Ontology Evaluation in the domain of Materials Science and Engineering

Norouzi, E. (Speaker)¹; Sack, H.¹; Waitelonis, J.¹

Company Presentation

Company Presentation: ADDITIVE Soft- und Hardware für Technik und Wissenschaft GmbH

Langner, S. (Speaker)¹

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Fundamentals of Scientific Metadata for Materials Scientists - A hands-on modular training course for increasing data literacy and skill.

Gerlich, S.C. (Speaker)¹; Azócar Guzmán, A.¹; Hofmann, V.¹; Sandfeld, S.¹

Highlight Lecture

Advancing Material Science through AI: ScienceGPT and Scientific Workflows

Caldeira Rêgo, C.R. (Speaker)¹; Futterer, J.¹; Wenzel, W.¹

Evolution of the PMD Core Ontology (PMDco) Towards ISO/IEC 21838-2:2021 - Basic Formal Ontology (BFO)

Birkholz, H. (Speaker)¹; Bayerlein, B.²; Schilling, M.²; Hanke, T.³; von Hartrott, P.³; Jung, M.³; Hubaiev, K.⁴; Waitelonis, J.⁴; Sack, H.⁴; Mädler, L.⁵

Creating Comparable Data Structures for Diverse Research Fields – An Ontology-based Approach from Li-Ion Battery Research

Nebel, V. (Speaker)¹; Mutz, M.¹; Beran, L.²; Kraus, T.³

Company Presentation

Company Presentation: MDPI AG

Nikolić, M. (Speaker)¹

Digital Transformation in Materials Science: Insights from Platform MaterialDigital

Bayerlein, B. (Speaker)¹; Schilling, M.¹; Waitelonis, J.²; von Hartrott, P.³; Hanke, T.³; Birkholz, H.⁴; Lau, J.⁵; Skrotzki, B.¹

Beliebte Inhalte

Digital Transformation in Materials Science: Insights from Platform MaterialDigital

Bayerlein, B. (Speaker)¹; Schilling, M.¹; Waitelonis, J.²; von Hartrott, P.³; Hanke, T.³; Birkholz, H.⁴; Lau, J.⁵; Skrotzki, B.¹

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Künstliche Intelligenz und Maschinelles Lernen als Werkzeug in der Materialographie

Bernthaler, T. (V)¹; Jansche, A.¹; Choudhary, A.-K.²; Goll, D.¹; Schneider, G.¹

58. Metallographie-Tagung 2024 - Materialographie

Machine Learning in Material Science - How AI Forges New Paths and Potentials in Microstructure Research

Britz, D. (V)¹; Mücklich, F.²; Müller, M.²

MaterialsWeek 2021

Artificial Intelligence for materials industry: an open online course using open data

Jaeken, C. (Speaker)¹; Cottenier, S.²; Lis, B.¹; Sluydts, M.¹; Tomecka, D.¹

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

DICE: NIMS data platform for Materials Science and Engineering

Kadohira, T. (Speaker)¹; Yoshikawa, H.¹; Fujima, J.¹; Matsuda, A.¹; Fujiwara, Y.¹; Minamoto, S.¹; Demura, M.¹

FEMS EUROMAT 2023

Creating Comparable Data Structures for Diverse Research Fields – An Ontology-based Approach from Li-Ion Battery Research

Nebel, V. (Speaker)¹; Mutz, M.¹; Beran, L.²; Kraus, T.³

A Useful Reference Process for Scientific Publication: Heat Treatments, Tensile Tests, and Metallography Represented via Comprehensive Ontologies

Birkholz, H. (Speaker)¹; Jung, M.²; Gumbsch, P.²; Mädler, L.³

FEMS EUROMAT 2023

Künstliche Intelligenz als Allheilmittel – oder brauchen wir in Zukunft doch noch Werkstoffexperten?

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

40. Vortrags- und Diskussionstagung Werkstoffprüfung 2022

A data collection and selection platform for knowledge discovery in materials science literature

Gupta, V. (Speaker)¹

Integration of controlled vocabularies in metadata schemas

Abdildina, G. (Speaker)¹; Aversa, R.¹

Adopting FAIR data practices in materials science: Semantic representation of a quantitative precipitation analysis

Bayerlein, B. (Speaker)¹; Zia, G.-A.¹; Schilling, M.¹; Hanke, T.²; Hartrott, P.²; Fliegener, S.²; Kryeziu, J.³; Waitelonis, J.⁴; Sack, H.⁴; Skrotzki, B.¹

FEMS EUROMAT 2023

The Platform MaterialDigital Workflow Store - Sharing Scientific Workflows within the MSE community

Buldin, A. (Speaker)¹; Kryeziu, J.¹; Straumal, A.¹; Hickel, T.²; Wenzel, W.¹; Schaarschmidt, J.¹

Integration of AI-driven microstructure-property-relations into an information system for materials

Koch, B. (Speaker)¹; Alperovich, I.²; Jiang, Y.³; Nerella, D.K.³; Roslyakova, I.⁴; Tegeler, M.⁵

Company Presentation

Company Presentation: ADDITIVE Soft- und Hardware für Technik und Wissenschaft GmbH

Langner, S. (Speaker)¹

The Platform MaterialDigital Workflow Store - Sharing scientific workflows within the MSE Community

Kryeziu, J. (Speaker)¹

FEMS EUROMAT 2023

The MSE Knowledge Graph: Centralizing Metadata for Enhanced Data Integration

Norouzi, E. (Speaker)¹; Azócar Guzmán, A.²; Beygi Nasrabadi, H.¹; Fathalla, S.²; Fliegl, H.¹; Gedsun, A.³; Hofmann, V.²; Sack, H.¹; Sandfeld, S.²; Waitelonis, J.¹; Zainul Ihsan, A.²

MaterialsWeek 2025

An overview of the International Metallographic Society and ASM International

Keeble, M. (V)¹

56. Metallographie-Tagung 2022 - Materialographie

Implementation of Metadata Schemas and FAIR Principles in Laboratories

Gedsun, A. (Speaker)¹; Potu, S.T. (Speaker)¹

Highlight Lecture

Advancing Material Science through AI: ScienceGPT and Scientific Workflows

Caldeira Rêgo, C.R. (Speaker)¹; Futterer, J.¹; Wenzel, W.¹

Fundamentals of Scientific Metadata for Materials Scientists - A hands-on modular training course for increasing data literacy and skill.

Gerlich, S.C. (Speaker)¹; Azócar Guzmán, A.¹; Hofmann, V.¹; Sandfeld, S.¹

An ontological approach for classification of continuum and mesoscopic models

Huschle, T. (Speaker)¹; Helm, D.¹; Nahshon, Y.¹

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

openBISmantic: Improving the interoperability of MSE (meta)data stored in the data management platform openBIS through semantic web technologies

El-Athman, R.¹; Antons, R. (Speaker)²; Valdestilhas, A.³; Rizkallah, M.⁴; Hanke, T.²; Muth, T.³

FEMS EUROMAT 2023

Semantic integration of diverse data in materials science: Assessing Orowan strengthening

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

PMDco - Platform MaterialDigital Core Ontology

Bayerlein, B. (Speaker)¹; Birkholz, H.²; Grundmann, J.²; Hanke, T.³; Mädler, L.²; Sack, H.⁴; Schilling, M.⁵; Waitelonis, J.⁴; von Hartrott, P.³

FEMS EUROMAT 2023

Company Presentation

Company Presentation: MDPI AG

Nikolić, M. (Speaker)¹

Grußwort des Präsidenten der Universität des Saarlandes, Manfred Schmitt

56. Metallographie-Tagung 2022 - Materialographie

Creating Comparable Data Structures for Diverse Research Fields – An Ontology-based Approach from Li-Ion Battery Research

Nebel, V. (Speaker)¹; Mutz, M.¹; Beran, L.²; Kraus, T.³

Harnessing Machine Learning for Process Optimization in Lead-Based Electroceramics

Bayir, M.C. (Speaker)¹; Temizel, R.C.²; Mensur, E.¹

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