Artikel
Open Access
High-Throughput Exploration of Evolutionary Structural Materials
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Veröffentlicht/Copyright:
7. Februar 2018
Published Online: 2018-02-07
Published in Print: 2018-02-14
© 2018, Carl Hanser Verlag, München
Artikel in diesem Heft
- Fachbeiträge/Technical Contributions
- AWT Info / HTM
- HTM-Praxis
- HTM-Praxis
- Inhalt/Contents
- Inhalt
- Kurzfassungen/Abstracts
- Kurzfassungen
- Fachbeiträge/Technical Contributions
- High-Throughput Exploration of Evolutionary Structural Materials
- Three-Dimensional Data Storage in the Subsurface Region and Fast Read-Out Technologies for Determining the Mechanical Load History of Components
- Experiences in Heat Treatment of Heat Resistant Carburizing Bearing Steels
- Influence of Chromium, Zirconium and Silicon on the Wear Resistance of Titanium Aluminum Nitride (TiAlN) Multilayer Films
Schlagwörter für diesen Artikel
High-Throughput;
Framework;
Structural Material;
Machine Learning;
Descriptor
Creative Commons
BY 4.0
Artikel in diesem Heft
- Fachbeiträge/Technical Contributions
- AWT Info / HTM
- HTM-Praxis
- HTM-Praxis
- Inhalt/Contents
- Inhalt
- Kurzfassungen/Abstracts
- Kurzfassungen
- Fachbeiträge/Technical Contributions
- High-Throughput Exploration of Evolutionary Structural Materials
- Three-Dimensional Data Storage in the Subsurface Region and Fast Read-Out Technologies for Determining the Mechanical Load History of Components
- Experiences in Heat Treatment of Heat Resistant Carburizing Bearing Steels
- Influence of Chromium, Zirconium and Silicon on the Wear Resistance of Titanium Aluminum Nitride (TiAlN) Multilayer Films
