ArticleJournal of applied crystallography2022
Neural network analysis of neutron and X-ray reflectivity data: automated analysis using
Article in Journal of applied crystallography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Towards machine-learning-based on-the-fly analysis of neutron reflectometry.Journal of applied crystallography · 2026Article
- Benchmarking deep learning for automated peak detection on GIWAXS data.Journal of applied crystallography · 2025Article
- Fast and reliable probabilistic reflectometry inversion with prior-amortized neural posterior estimation.Science advances · 2025Article
- Millisecond X-ray reflectometry and neural network analysis: unveiling fast processes in spin coating.Journal of applied crystallography · 2024Article
- Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge.Journal of applied crystallography · 2024Article
- Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments.Journal of synchrotron radiation · 2023Article
- Machine learning for scattering data: strategies, perspectives and applications to surface scattering.Journal of applied crystallography · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Python package
Indexed as
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.