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Data · dataset · 2026

Optimizing textured structure of polycrystalline SnSe thermoelectric material by solvent-regulated cold sintering

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Tin selenide (SnSe) has emerged as a promising thermoelectric material with potential applications in waste heat harvesting.

Description

However, optimal performance is typically achieved in single crystals of SnSe, whose fabrication and long-term reliability under operating conditions remain challenging. Polycrystalline ceramic materials are preferred and are generally processed by spark plasma sintering (SPS), which involves high temperatures, costly equipment and intensive energy consumption.

In this work, we propose a liquid-phase-assisted cold sintering process as an energy-efficient and scalable alternative to SPS that also promotes the anisotropic alignment of grains in polycrystalline SnSe. The use of a water-ethanol transient liquid phase significantly reduces interfacial friction between SnSe nanosheets, resulting in dense ceramics in which a high degree of favorable crystallite orientation is preserved.

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The resulting samples exhibit in-plane power factors that are comparable or even superior to those processed by SPS, demonstrating the suitability of cold sintering for high-performance SnSe thermoelectric materials. This dataset contains all the raw and processed data related to the publication "Optimizing textured structure of polycrystalline SnSe thermoelectric material by solvent-regulated cold sintering". The data are presented in 1) Plain text format (.dat, .txt, .csv extensions), 2) Image format for SEM, EDS, and EBSD data (.tif, .bmp, .pdf extensions), and 3) for some of the processed data OriginLab format (.opju extension).

The data are organised according to which figure they are presented in. Each figure has its own subfolder, each of which contains a readme.txt file with a detailed description of the data used to construct that figure.

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Stated by source
Chemistry
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Chemistry
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Image 75% · Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/A9JDO413 d agoJSON v1
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concepts[modality].local:modality:textenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
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