Velasco, Leonardo ; Castillo, Juan S. ; Kante, Mohana V. ; Olaya, Jhon J. ; Friederich, Pascal ; Hahn, Horst (2021)
Phase-property diagrams for multicomponent oxide systems toward materials libraries.
In: Advanced Materials, 33 (43)
doi: 10.1002/adma.202102301
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Exploring the vast compositional space offered by multicomponent systems or high entropy materials using the traditional route of materials discovery, one experiment at a time, is prohibitive in terms of cost and required time. Consequently, the development of high‐throughput experimental methods, aided by machine learning and theoretical predictions will facilitate the search for multicomponent materials in their compositional variety. In this study, high entropy oxides are fabricated and characterized using automated high‐throughput techniques. For intuitive visualization, a graphical phase–property diagram correlating the crystal structure, the chemical composition, and the band gap are introduced. Interpretable machine learning models are trained for automated data analysis and to speed up data comprehension. The establishment of materials libraries of multicomponent systems correlated with their properties (as in the present work), together with machine learning‐based data analysis and theoretical approaches are opening pathways toward virtual development of novel materials for both functional and structural applications.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Velasco, Leonardo ; Castillo, Juan S. ; Kante, Mohana V. ; Olaya, Jhon J. ; Friederich, Pascal ; Hahn, Horst |
| Art des Eintrags: | Bibliographie |
| Titel: | Phase-property diagrams for multicomponent oxide systems toward materials libraries |
| Sprache: | Englisch |
| Publikationsjahr: | 2021 |
| Ort: | Weinheim |
| Verlag: | Wiley-VCH |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Advanced Materials |
| Jahrgang/Volume einer Zeitschrift: | 33 |
| (Heft-)Nummer: | 43 |
| Kollation: | 11 Seiten |
| DOI: | 10.1002/adma.202102301 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Exploring the vast compositional space offered by multicomponent systems or high entropy materials using the traditional route of materials discovery, one experiment at a time, is prohibitive in terms of cost and required time. Consequently, the development of high‐throughput experimental methods, aided by machine learning and theoretical predictions will facilitate the search for multicomponent materials in their compositional variety. In this study, high entropy oxides are fabricated and characterized using automated high‐throughput techniques. For intuitive visualization, a graphical phase–property diagram correlating the crystal structure, the chemical composition, and the band gap are introduced. Interpretable machine learning models are trained for automated data analysis and to speed up data comprehension. The establishment of materials libraries of multicomponent systems correlated with their properties (as in the present work), together with machine learning‐based data analysis and theoretical approaches are opening pathways toward virtual development of novel materials for both functional and structural applications. |
| Freie Schlagworte: | high entropy materials, high‐throughput techniques, machine learning, materials libraries, phase diagram, virtual materials |
| ID-Nummer: | Artikel-ID: 2102301 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 660 Technische Chemie |
| Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Materialwissenschaft 11 Fachbereich Material- und Geowissenschaften > Materialwissenschaft > Gemeinschaftslabor Nanomaterialien |
| Hinterlegungsdatum: | 14 Feb 2024 07:59 |
| Letzte Änderung: | 14 Feb 2024 07:59 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Phase-Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries. (deposited 13 Feb 2024 13:36)
- Phase-property diagrams for multicomponent oxide systems toward materials libraries. (deposited 14 Feb 2024 07:59) [Gegenwärtig angezeigt]
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