ArticleCommunications chemistry2022
Computational screening methodology identifies effective solvents for CO
Article in Communications chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Thermodynamic screening of solid-gas CORSC advances · 2026Article
- Molecular solutions to carbon pollution: innovations, mechanisms, and challenges in solvent-based carbon capture.Water science and technology : a journal of the International Association on Water Pollution Research · 2026Review
- Accelerating amine-based COFundamental research · 2026Review
- Industrial and Environmental Applications of Carbonic Anhydrases.Sub-cellular biochemistry · 2026Review
- The Chemistry and Thermodynamics of Point Source COChemical reviews · 2025Review
- An ecosystem of carbon dioxide removal reviews - part 1: direct air COEnergy & environmental science · 2025Review
- Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies.Chem & bio engineering · 2025Review
- Minimal Kinetic Model of Direct Air Capture of COIndustrial & engineering chemistry research · 2024Article
- Prediction of geomechanical bearing capacity using autoregressive deep neural network in carbon capture and storage systems.Heliyon · 2023Article
- Eight Up-Coming Biotech Tools to Combat Climate Crisis.Microorganisms · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbon capture and storage technologies are projected to increasingly contribute to cleaner energy transitions by significantly reducing CO
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.