Fig. 1: Characteristics describing TE performance that provided by the Materials Project.
From: Unsupervised machine learning for discovery of promising half-Heusler thermoelectric materials
a Crystal structure and b calculated X-Ray diffraction patterns of TiNiSn (materials_id: mp-924130 in the Materials Project)). c, d Band structure and e, f density of states for two spin states material (e.g., MnCoSb (materials_id: mp-5381)) and one spin state material (e.g., TiNiSn (materials_id: mp-22377 in the Materials Project)), respectively.
