ArticleJACS Au2023
Computational Reverse-Engineering Analysis for Scattering Experiments for Form Factor and Structure Factor Determination ("
Article in JACS Au, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Tutorial: Machine-Learning-Based CREASE-2D Analysis of 2D SAXS Profiles to Characterize Anisotropic Nanostructures in Soft Materials.ACS measurement science au · 2026Article
- Parameter-Free Determination of Au Nanorod Dimensions Using Depolarized DLS and Genetic Optimization.The journal of physical chemistry. B · 2026Article
- Enhanced Diffusion and Retention of Proteoglycan Replacements in Cartilage through Thermoresponsive Polyelectrolytes.Macromolecules · 2025Article
- Small-angle scattering studies on diverse peptide-based nanotube and helical ribbon structures reveal distinct form and structure factors.Journal of applied crystallography · 2025Article
- Machine-learning-informed scattering correlation analysis of sheared colloids.Journal of applied crystallography · 2025Article
- Article
- Article
- Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.Chemical science · 2023Review
- Visualization of Self-Assembly and Hydration of a β-Hairpin through Integrated Small and Wide-Angle Neutron Scattering.Biomacromolecules · 2023Article
- Microstructural Model of Indacenodithiophene-The journal of physical chemistry letters · 2023Article
- Article
- Synergistic Role of Temperature and Salinity in Aggregation of Nonionic Surfactant-Coated Silica Nanoparticles.Langmuir : the ACS journal of surfaces and colloids · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we present an open-source machine learning (ML)-accelerated computational method to analyze small-angle scattering profiles [
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.