Fast Automated Phase Differentiation in Industrial Stainless Steel by Combining Low-Loss EELS Experiments with Machine Learning-based Algorithms
Source abstract
Abstract
Luc Lajaunie, Beatriz Amaya Dolores, Ashwin Ramasubramaniam, Lorena González-Souto, Rafael Sanchez, Juan Almagro, Javier Botana, José Calvino; Fast Automat
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Hydrogen embrittlement and corrosion behaviors in metals · Microstructure and Mechanical Properties of Steels · Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (5)
Show source-provided references
1. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis10.1016/0377-0427(87)90125-7 ↗
2. Precipitation and phase transformations in 2101 lean duplex stainless steel during isothermal aging10.1007/s11661-015-3215-7 ↗
3. Alvarez-Armas · 201310.1002/9781118557990 ↗
4. A complete overhaul of the electron energy-loss spectroscopy and x-ray absorption spectroscopy database: eelsdb. eu10.1017/S1431927616000179 ↗
5. Iakoubovskii · Microsc. Res. Tech · 2008 · 71 · 62610.1002/jemt.20597 ↗