CO<sub>2</sub> Molecular Behaviors at Kaolinite–Geofluid Interfaces: The Role of Edge Defects in Relation to Geologic Carbon Sequestration
Bibliographic record
Abstract
Geologic carbon sequestration (GCS) represents a promising approach to achieve global net-zero carbon targets. Kaolinite, a common component in natural sediments, plays critical roles as a caprock in GCS projects. Herein, molecular dynamics simulations are employed to investigate CO 2 behaviors at the kaolinite–water interface, focusing on natural defects such as nanovalleys. Our findings reveal that the diffusion behavior of CO 2 molecules varies depending on their proximity to different kaolinite surfaces. Specifically, CO 2 near the hydrophobic siloxane surface, which exhibits a stronger affinity for CO 2, demonstrates lower diffusion coefficients compared with molecules near the hydrophilic gibbsite and edge surfaces. This reduced mobility leads to prolonged residence times at the siloxane surface. Additionally, edge sites exhibit greater CO 2 retention than gibbsite surfaces, likely due to their higher surface roughness and reactivity. Furthermore, our results indicate that CO 2 primarily penetrates the nanovalley through the central region and areas adjacent to the siloxane surface. At elevated CO 2 concentrations, nanobubbles begin to form; however, these nanobubbles are unable to enter the nanovalleys due to the presence of substantial breakthrough pressure barriers. This study enhances our understanding of CO 2 behaviors in clay-rich environments and its application within the scope of sustainable chemistry related to the carbon neutrality strategy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".