ArticleNature communications2026
Octahedral-motif-guided design of optoelectronic semiconductors via interpretable machine learning.
Article in Nature communications, 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
7 authors.
Funding
Abstract
Halide perovskites' remarkable optoelectronic properties stem from their metal halide octahedra. This connection underscores the promise of systematically extracting the physical rules encoded in octahedral motifs to steer the discovery of optoelectronic materials. Here, we develop an octahedral motif-centric, data-driven framework that couples interpretable machine learning with high-throughput first-principles calculations to accelerate the discovery of optoelectronic semiconductors. We construct motif-based descriptors to train a gradient boosting regression tree model for thermodynamic stability evaluation, achieving a low mean absolute error of 83 meV per atom on datasets comprising ~10
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.