VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data
16,655 citations recorded by the source corpus.
Subfields: Catalysis, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/18efeaa9773cca675a0a4bc2e525899f8a681911
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In Catalysis
In Materials Chemistry
Citations in the corpus
- Materials for hydrogen-based energy storage – past, recent progress and future outlook (2019, methodology): “Electron Localization Function (ELF) was plotted using VESTA software [313].”
- Scaling deep learning for materials discovery (2023, neutral): “65).”