First-principles-based prediction of yield strength in the RhIrPdPtNiCu high-entropy alloy
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2057-3960
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
First-principles-based prediction of yield strength in the RhIrPdPtNiCu high-entropy alloy ; volume:5 ; number:1 ; day:5 ; month:2 ; year:2019 ; pages:1-7 ; date:12.2019
npj computational materials ; 5, Heft 1 (5.2.2019), 1-7, 12.2019
- Creator
-
Yin, Binglun
Curtin, William A.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-019-0151-x
- URN
-
urn:nbn:de:101:1-2019030421143100598932
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yin, Binglun
- Curtin, William A.
- SpringerLink (Online service)
Other Objects (12)
Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength
Plasmonic high-entropy carbides
Nanostructured high-entropy materials
Strength of Disordered and Ordered Al‐Containing Refractory High‐Entropy Alloys
Chrysanthemum-like high-entropy diboride nanoflowers: A new class of high-entropy nanomaterials
Comparing Machine Learning Models for Strength and Ductility in High-Entropy Alloys
Nanoprecipitate‐Strengthened High‐Entropy Alloys
Crystal–Glass High‐Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability
Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery
High‐Entropy Nanomaterials for Advanced Electrocatalysis
High‐Entropy Oxides for Rechargeable Batteries
Bulk high-entropy nitrides and carbonitrides
Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength
Plasmonic high-entropy carbides
Nanostructured high-entropy materials
Strength of Disordered and Ordered Al‐Containing Refractory High‐Entropy Alloys
Chrysanthemum-like high-entropy diboride nanoflowers: A new class of high-entropy nanomaterials
Comparing Machine Learning Models for Strength and Ductility in High-Entropy Alloys
Nanoprecipitate‐Strengthened High‐Entropy Alloys
Crystal–Glass High‐Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability
Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery
High‐Entropy Nanomaterials for Advanced Electrocatalysis
High‐Entropy Oxides for Rechargeable Batteries
Bulk high-entropy nitrides and carbonitrides
Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength
Plasmonic high-entropy carbides
Nanostructured high-entropy materials
Strength of Disordered and Ordered Al‐Containing Refractory High‐Entropy Alloys
Chrysanthemum-like high-entropy diboride nanoflowers: A new class of high-entropy nanomaterials
Comparing Machine Learning Models for Strength and Ductility in High-Entropy Alloys
Nanoprecipitate‐Strengthened High‐Entropy Alloys
Crystal–Glass High‐Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability
Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery
High‐Entropy Nanomaterials for Advanced Electrocatalysis
High‐Entropy Oxides for Rechargeable Batteries