RESEARCH PAPER · Computational Materials Science · 2023
A first-principles study of ternary metal chalcogenides Ba2MnX3 (X=Te,Se,S) for efficient thermoelectric applications empowered by machine-learning interatomic potential
Read original paper ↗See where this research leads.
A citation map has not been saved for this paper yet.
Open in your workspace →Open your workspace to prepare the citation network.
The paper record is available below. Preparing a network uses the existing account and source-allowance controls.
Papers that cite this work
No saved citation network is available; this does not mean the paper has no citations.