The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ultra‐High Surface Area Nitrogen‐Doped Carbon Aerogels Derived From a Schiff‐Base Porous Organic Polymer Aerogel for CO2 Storage and Supercapacitors
Abstract
Nitrogen‐doped carbon aerogels (NCAs) have received great attention for a wide range of applications, from thermal electronics to waste water purification, heavy metal or gas adsorption, energy storage, and catalyst supports. Herein NCAs are developed via the synthesis of a Schiff‐base porous organic polymer aerogel followed by pyrolysis. By controlling the pyrolysis temperature, the polymer aerogel can be simply converted into porous NCAs with a low bulk density (5 mg cm−3), high surface area (2356 m 2 g−1), and high bulk porosity (70%). The NCAs containing 1.8–5.3 wt% N atoms exhibit remarkable CO 2 uptake capacities (6.1 mmol g−1 at 273 K and 1 bar, 33.1 mmol g−1 at 323 K and 30 bar) and high ideal adsorption solution theory selectivity (47.8) at ambient pressure. Supercapacitors fabricated with NCAs display high specific capacitance (300 F g−1 at 0.5 A g−1), fast rate (charge to 221 F g−1 within only 17 s), and high stability (retained >98% capacity after 5000 cycles). Asymmetric supercapacitors assembled with NCAs also show high energy density and power density with maximal values of 30.5 Wh kg−1 and 7088 W kg−1, respectively. The outstanding CO 2 uptake and energy storage abilities are attributed to the ultra‐high surface area, N‐doping, conductivity, and rigidity of NCA frameworks.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An overview of current status of carbon dioxide capture and storage technologies
Leung, D. Y. C., Caramanna, G., & Maroto-Valer, M. M. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.07.093 · Cited by 3,198
Advances in CO2 capture technology—The U.S. Department of Energy's Carbon Sequestration Program
Figueroa, J. D., Fout, T., Plasynski, S., McIlvried, H., & Srivastava, R. D. (2008) · International Journal of Greenhouse Gas Control · doi:10.1016/s1750-5836(07)00094-1 · Cited by 2,281
Carbon-Based Adsorbents for Postcombustion CO 2 Capture: A Critical Review
Creamer, A. E., & Gao, B. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b00627 · Cited by 598
Cited by
Recent advances in preparations and applications of carbon aerogels: A review
Lee, J.-H., & Park, S.-J. (2020) · Carbon · doi:10.1016/j.carbon.2020.02.073 · Cited by 471
Aerogels Meet Phase Change Materials: Fundamentals, Advances, and Beyond
Liu, P., Chen, X., Li, Y., Cheng, P., Tang, Z., Lv, J., Aftab, W., & Wang, G. (2022) · ACS Nano · doi:10.1021/acsnano.2c05067 · Cited by 285
Chemically modified carbonaceous adsorbents for enhanced CO2 capture: A review
Kamran, U., & Park, S.-J. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125776 · Cited by 262
Parale, V. G., Kim, T., Choi, H., Phadtare, V. D., Dhavale, R. P., Kanamori, K., & Park, H. (2024) · Advanced Materials · doi:10.1002/adma.202307772 · Cited by 146
Yu, S., Song, S., Li, R., & Fang, B. (2020) · Nanoscale · doi:10.1039/d0nr05050d · Cited by 63
Metadata
- Authors
- Li, H., Li, J., Thomas, A., & Liao, Y.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-08-06
- Volume
- 29
- Issue
- 40
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2964643219
- Cited by
- 173
- References
- 3
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ultra‐High Surface Area Nitrogen‐Doped Carbon Aerogels Derived From a Schiff‐Base Porous Organic Polymer Aerogel for CO2 Storage and Supercapacitors. https://app.cochat.ai/papers/10.1002/adfm.201904785
- The paper
- Li, H., Li, J., Thomas, A., & Liao, Y. (2019). Ultra‐High Surface Area Nitrogen‐Doped Carbon Aerogels Derived From a Schiff‐Base Porous Organic Polymer Aerogel for CO2 Storage and Supercapacitors. Advanced Functional Materials. https://doi.org/10.1002/adfm.201904785
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.