ArticleNature materials2026
Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions.
Article in Nature materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions.Nature materials · 2026Article
- An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/LiThe journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pairwise reaction approaches have navigated the thermodynamic landscape with first-principles data but lack kinetic information, limiting their effectiveness. This gap leads to suboptimal precursor selection and predictions, especially for reactions forming competing phases with similar formation energies, where ion diffusion is a critical influence. Here we demonstrate an inorganic synthesis framework by incorporating machine learning-derived transport properties through 'liquid-like' product layers into a thermodynamic cellular reaction model. In the Ba-Ti-O system, known for its competitive polymorphism, we obtain accurate predictions of phase formation with varying BaO:TiO
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Registered trials
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