ReviewChemical communications (Cambridge, England)2026
Explicit atomistic modelling of solid-solid interfaces: from construction to design.
Review in Chemical communications (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Solid-solid interfaces play a critical role in the performance of energy storage systems, catalysts, and electronic devices, yet their atomic-scale structure and behaviour remain challenging to probe experimentally. Explicit atomistic modelling provides a powerful approach for investigating interfaces by directly constructing and simulating contacting phases, enabling the calculation of interfacial energetics, electronic structure, charge transfer, stability, and transport processes. This Review summarises the methodology and applications of explicit interface modelling, including interface construction strategies, properties accessible from atomistic simulations, and recent advances enabled by machine-learned interatomic potentials that extend simulations to larger time and length scales. We also discuss how computational results can be interpreted and validated using experimental characterisation techniques, and highlight current challenges and emerging opportunities in predictive interface modelling and materials design.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.