Datenmanagement

Digitalisierung in der Werkstofftechnik

Experimentelle und analytische Techniken

Datenmanagement

Datenmanagement in der Werkstoffwissenschaft umfasst strukturierte Erfassung, Speicherung, Annotation, Versionierung und Bereitstellung experimenteller und simulativer Daten. Es nutzt standardisierte Formate, Metadaten, Ontologien und FAIR-Prinzipien, um Nachvollziehbarkeit, Wiederverwendbarkeit und Reproduzierbarkeit zu sichern. Integriert in elektronische Laborbücher und Datenbanken ermöglicht es Datenfusion, maschinelles Lernen, inverse Modellierung und beschleunigtes Materialdesign in einem durchgängigen, digitalen Workflow.

Verwandte Tags

Neue Inhalte

Pyiron-based workflow to determine the parameters of material models

Farahani, E. (Speaker)¹; Cetin Haftaoglu, C.¹; Fedelich, B.¹; Lakshmipathy, T.¹

MaterialDigital General Assembly 2025

Project DigitalModelling - Overview

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

MaterialDigital General Assembly 2025

Verbesserung der Nutzbarkeit von Deep Learning Modellen zur Erkennung von Defekten in Li-Ionen Batterien

Bäuml, J. (V)¹; Bernthaler, T.¹; Fuchs, K.¹; Jansche, A.¹; Schneider, G.¹

59. Metallographie-Tagung 2025 - Materialographie

From Melt Pool to Data Lake: Smart Manufacturing, Digitalization and the High Pressure Die Casting Process

Lehmhus, D. (V)¹; Clausen, J.¹; Heuser, M.¹; Pille, C.¹; Schmidt, S.¹

International Conference on System-Integrated Intelligence - SysInt 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

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

A Novel AI-Driven Framework for Uncovering Data Correlations to Advance Sustainable Materials Research

Jouanique, C. (Speaker)¹; Bräkling, A.¹; Egelhofer, M.¹; Thomas, S.¹

MaterialsWeek 2025

Harnessing the power of automation and machine learning with a modular material acceleration platform – an illustrating example

Popp, M.A. (Speaker)¹; Bandesha, S.T.¹; Stier, S.¹

Implementation of an electronic laboratory notebook “eLabFTW” in experimental research works on materials science and engineering

Smaga, M. (Speaker)¹; Beck, T.¹; Jordan, O.¹; Regitz, E.¹

Accelerating Development of Materials with Artificial Intelligence and Machine Learning

Musto, M. (Speaker)¹

Beliebte Inhalte

Verbesserung der Nutzbarkeit von Deep Learning Modellen zur Erkennung von Defekten in Li-Ionen Batterien

Bäuml, J. (V)¹; Bernthaler, T.¹; Fuchs, K.¹; Jansche, A.¹; Schneider, G.¹

59. Metallographie-Tagung 2025 - Materialographie

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

A Novel AI-Driven Framework for Uncovering Data Correlations to Advance Sustainable Materials Research

Jouanique, C. (Speaker)¹; Bräkling, A.¹; Egelhofer, M.¹; Thomas, S.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

From Melt Pool to Data Lake: Smart Manufacturing, Digitalization and the High Pressure Die Casting Process

Lehmhus, D. (V)¹; Clausen, J.¹; Heuser, M.¹; Pille, C.¹; Schmidt, S.¹

International Conference on System-Integrated Intelligence - SysInt 2025

Project DigitalModelling - Overview

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

MaterialDigital General Assembly 2025

Pyiron-based workflow to determine the parameters of material models

Farahani, E. (Speaker)¹; Cetin Haftaoglu, C.¹; Fedelich, B.¹; Lakshmipathy, T.¹

MaterialDigital General Assembly 2025

An additive manufacturing-oriented design approach: a hip joint case study

Manai, N. (Speaker)¹; Plocher, J. (Speaker)¹; Mercier, D.¹; Mohee, L.¹

FEMS EUROMAT 2023

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 Managment in a Collaborative Research Project

Goetz, S. (Speaker)¹; Bobbert, M.²; Zirngibl, C.¹; Einwag, J.-M.¹; Wartzack, S.¹

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

Data-driven characterization of microstructural, phase transformation and mechanical properties of bainitic steel

Gülbay, O. (Speaker)¹; Wang, J.¹; Ackermann, M.¹; Wesselmecking, S.¹; Krupp, U.¹

The ALPmat: A platform for accelerated materials design based on active learning

Spitaler, J. (Speaker)¹; Scheiber, D.¹; Bedoya-Martínez, N.¹; Schuscha, B.¹; Brandl, D.¹; Tran, H.²; Gursch, H.²; Romaner, L.³

On Developing NeXus/HDF5 Application Definitions for Interoperable Storage of Experimental Data

Kühbach, M. (Speaker)¹; Brockhauser, S.²

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

Standards to Support Additive Manufacturing Quality Assurance

Seifi, M. (V)¹

3. Fachtagung Werkstoffe und Additive Fertigung

Digital transformation in materials science: implementing NFDI-MatWerk solutions for collaborative research and data management

Tsybenko, H. (Speaker)¹; Menon, S.²; Guzmán, A.A.¹; Chen, F.³; Grünwald, K.⁴; Brinckmann, S.¹; Hickel, T.²; Dahmen, T.³; Hofmann, V.¹; Chmielowski, M.⁵; Mohrbacher, J.⁶; Schwaiger, R.¹

The Dataspace Management System (DSMS): An end-user application for FAIR data handling and data enrichment in material science

Büschelberger, M. (Speaker)¹; Nahshon, Y.¹; Morand, L.¹; Wessel, A.¹; Helm, D.¹

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

Harnessing the power of automation and machine learning with a modular material acceleration platform – an illustrating example

Popp, M.A. (Speaker)¹; Bandesha, S.T.¹; Stier, S.¹

Chancen und Herausforderungen bei der Verschmelzung von Datenwissenschaft und Werkstoffwissenschaft

A. Prakash and S. Sandfeld (2018). Chances and Challenges in Fusing...

Accelerating Development of Materials with Artificial Intelligence and Machine Learning

Musto, M. (Speaker)¹

Implementation of an electronic laboratory notebook “eLabFTW” in experimental research works on materials science and engineering

Smaga, M. (Speaker)¹; Beck, T.¹; Jordan, O.¹; Regitz, E.¹

Reproducible and automated structure-property relationships of bainitic steels

Ackermann, M. (Speaker)¹; Iren, D.²; Krupp, U.¹; Shetty, D.¹; Wesselmecking, S.¹

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

Development of a Material Properties Data Management Workflow: How to connect easily Experimental Characterization and Numerical Modelling?

MERCIER, D. (Speaker)¹; Di Stefano, D.¹; Stefani, N.¹; Steinbach, L.¹

Invited Lecture

Accelerating materials discovery by combining high-throughput experimentation and materials informatics

Ludwig, A. (Speaker)¹

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

Interoperable CHADA: Digitalizing characterization data and protocols demonstrated on a nanoindentation application

Kumaraswamy, K. (Speaker)¹; Nahshon, Y.²; Mercier, D.³; Goldbeck, G.⁴; Del Nostro, P.⁴; Di Stefano, D.³; Ren, Y.³; Helm, D.²

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

Datenmanagement und Datenanalysen für additiv gefertigte Bauteile zur Bestimmung von Prozess-Struktur-Eigenschaftsbeziehungen

Feldhoff, K. (V)¹; Wiemer, H.¹

3. Fachtagung Werkstoffe und Additive Fertigung

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