Highly Reliable Implementation of Optimized Multicomponent Oxide Systems Enabled by Machine Learning‐Based Synthetic Protocol

Small Methods ◽  
2021 ◽  
pp. 2101293
Author(s):  
Boyeon Park ◽  
Minho Kim ◽  
Youngjin Kang ◽  
Hun‐Bum Park ◽  
Myung‐Gil Kim ◽  
...  
2019 ◽  
Vol 11 (3) ◽  
pp. 24-31
Author(s):  
D. Vinnik ◽  
◽  
E. Trofimov ◽  
V. Zhivulin ◽  
O. Zaitseva ◽  
...  

Author(s):  
Katarzyna Siwińska-Ciesielczyk ◽  
Dariusz Świgoń ◽  
Piotr Rychtowski ◽  
Dariusz Moszyński ◽  
Agnieszka Zgoła-Grześkowiak ◽  
...  

2006 ◽  
Vol 45 ◽  
pp. 17-24
Author(s):  
Matvei Zinkevich

This paper shows how phase equilibria and thermodynamic properties of various multicomponent oxide systems can be represented with the use of model equations for the Gibbs energies of all phases as functions of temperature and composition. Starting from the stoichiometric phases and random solutions, the complexity of the models increases tremendously when ordering tendencies or certain defects in the lattice of ionic crystals, such as vacancies and/or variable oxidation states have to be taken into account.


2021 ◽  
pp. 2102301
Author(s):  
Leonardo Velasco ◽  
Juan S. Castillo ◽  
Mohana V. Kante ◽  
Jhon J. Olaya ◽  
Pascal Friederich ◽  
...  

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