Werkstoffinformatik

Informatik in der Werkstofftechnik

Werkstoffinformatik

Werkstoffinformatik kombiniert Datenanalysen, maschinelles Lernen und Simulationen, um komplexe Zusammenhänge zwischen Mikrostruktur und Materialverhalten aufzudecken. Durch den Einsatz großer Datensätze werden Optimierungspotenziale identifiziert und die Entwicklung neuer Werkstoffe beschleunigt.

Verwandte Tags

Neues

Comparative evaluation of Detectron2 Mask R-CNN and YOLOV8-Seg for microstructural image analysis in high-temperature superalloys

Iwediba, I. (Speaker)¹; Vorontsov, V.¹; Wong, A.¹

Accelerated materials informatics method for the discovery of ductile alloys

Hodapp, M. (Speaker)¹; Kovalyova, O.²; Novikov, I.¹; Shapeev, A.¹

Master in Materialinformatik (Materials Data Science)

Groß, A. (Speaker)¹; Wehrspohn, R. (Speaker)²

Digital Transformation in Materials Technology: From CO₂ Footprint Assessment to Material Modeling

Hosenfeldt, T. (Speaker)¹

MaterialDigital General Assembly 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

Generating a FAIR crystal-structure database with the AiiDA informatics infrastructure

Bercx, M. (Speaker)¹; Huber, S.²; Eimre, K.³; Nascimento, G.³; Hörmann, N.⁴; Pizzi, G.¹; Marzari, N.¹

Materials informatics based on Calphad and ab initio databases

Reis, B.H.¹; Büyükuslu, Ö.¹; Tang, F.¹; Keuter, P.¹; to Baben, M. (Speaker)¹

FEMS EUROMAT 2023

Plenary Lecture

Machine Learning for Materials Property Prediction

Morgan, D. (Speaker)¹

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

Ludwig, A. (Speaker)¹

Materials Informatics: A short overview and an example of a neural network interatomic potential for Magnesium

Stricker, M. (V)¹

MaterialsWeek 2021

Beliebt

Materials informatics based on Calphad and ab initio databases

Reis, B.H.¹; Büyükuslu, Ö.¹; Tang, F.¹; Keuter, P.¹; to Baben, M. (Speaker)¹

FEMS EUROMAT 2023

Materials Informatics: A short overview and an example of a neural network interatomic potential for Magnesium

Stricker, M. (V)¹

MaterialsWeek 2021

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

Ludwig, A. (Speaker)¹

Comparative evaluation of Detectron2 Mask R-CNN and YOLOV8-Seg for microstructural image analysis in high-temperature superalloys

Iwediba, I. (Speaker)¹; Vorontsov, V.¹; Wong, A.¹

Generating a FAIR crystal-structure database with the AiiDA informatics infrastructure

Bercx, M. (Speaker)¹; Huber, S.²; Eimre, K.³; Nascimento, G.³; Hörmann, N.⁴; Pizzi, G.¹; Marzari, N.¹

Accelerated materials informatics method for the discovery of ductile alloys

Hodapp, M. (Speaker)¹; Kovalyova, O.²; Novikov, I.¹; Shapeev, A.¹

Master in Materialinformatik (Materials Data Science)

Groß, A. (Speaker)¹; Wehrspohn, R. (Speaker)²

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

Digital Transformation in Materials Technology: From CO₂ Footprint Assessment to Material Modeling

Hosenfeldt, T. (Speaker)¹

MaterialDigital General Assembly 2025

Plenary Lecture

Machine Learning for Materials Property Prediction

Morgan, D. (Speaker)¹

© 2025