Optimization of Criteria for an Efficient Screening of New Thermoelectric Compounds: The TiNiSi Structure-Type as a Case-Study - Archive ouverte HAL
Article Dans Une Revue ACS Combinatorial Science Année : 2020

Optimization of Criteria for an Efficient Screening of New Thermoelectric Compounds: The TiNiSi Structure-Type as a Case-Study

Résumé

7 High-throughput calculations can be applied to a large number of compounds, in order to 8 discover new useful materials. In the present work, ternary intermetallic compounds are 9 investigated, to find new potentially interesting materials for thermoelectric applications. The 10 screening of stable non-metallic compounds required for such applications is performed by 11 calculating their electronic structure, using DFT methods. In the first section, the study of the 12 density of states at the Fermi level, of pure elements, binary and ternary compounds, leads to 13 empirically chose the selection criterion to distinguish metals from non-metals. In the second 14 section, the TiNiSi structure-type is used as a case-study application, through the investigation 15 of 570 possible compositions. The screening leads to the selection of 12 possible 16 semiconductors. The Seebeck coefficient and the lattice thermal conductivity of the selected 17 1 Corresponding author: barreteau@icmpe.cnrs.fr 2 compounds are calculated in order to identify the most promising ones. Among them, TiNiSi, 18 TaNiP or HfCoP are shown to be worth a detailed experimental investigation. 19

Domaines

Chimie Matériaux
Fichier principal
Vignette du fichier
Manuscript-File_07102020.pdf (1.13 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03007720 , version 1 (16-11-2020)

Identifiants

Citer

Céline Barreteau, Jean-Claude Crivello, Jean-Marc Joubert, Eric Alleno. Optimization of Criteria for an Efficient Screening of New Thermoelectric Compounds: The TiNiSi Structure-Type as a Case-Study. ACS Combinatorial Science, 2020, 22 (12), pp.813-820. ⟨10.1021/acscombsci.0c00133⟩. ⟨hal-03007720⟩
69 Consultations
81 Téléchargements

Altmetric

Partager

More