ArticleScientific reports2025
An innovative modelling technique for bimodal soil water characteristic curve under wetting process.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
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.
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Who cites it
3 citing papers in PubMed.
- Integrating experimental data and machine learning to predict collapse potential of loessic and lacustrine-alluvial soils using suction and SWCC parameters.Scientific reports · 2026Article
- Predicting unsaturated soil hydraulic conductivity during drying and wetting processes with a statistical physical model.Scientific reports · 2025Article
- Article
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Authors and funding
6 authors.
Funding
Abstract
Accurate measurement and use of an appropriate soil-water characteristics curve (SWCC) is crucial because it underpins most other estimations and analyses in unsaturated soil mechanics. Since it is difficult to measure a complete SWCC in the laboratory without combining multiple test methods, mathematical equations are subsequently used to model the SWCC that covers the entire suction range (up to 10
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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.