This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 121–137 of 137 papers
M. Alwerfali, F. Faraji, Mardin Abdalqadir +1
Accurate viscosity prediction of CO2-N2 mixtures is vital for CCUS processes but costly experiments and inaccurate conventional models hinder rapid decision-making. This study developed and benchmarked nine ML models (GB, XGBoost, LightGBM,…
H. Yangthong, Phakamat Lim‐arun, Siriwan Jansinak +10
This review comprehensively compares CO2 capture technologies, focusing on polymer-based adsorbents, covering thermodynamics, computer modeling, and applications. It finds adsorption promising for long-term protection against pollutants and…
P. Saini, U. Biradar, K. Sonawane +4
This paper provides a comprehensive overview of AI-driven digital innovations in CCUS, including real-time monitoring, fiber-optic sensing, and advanced analytics. These technologies enable dynamic alerts, predictive maintenance, and enhanc…
Karan Sotoodeh
This review focuses on failure analysis and prevention methods to improve safety and reliability in hazardous direct air capture (DAC) plants. It covers common failure modes and mitigation strategies, providing insights for safe operation, …
Abdul'Aziz Aliyu, Keith Burnard
This conference summary reports on the 8th Post Combustion Capture Conference, covering advances in CCUS, DAC, and BECCS. With 115 oral presentations and 26 posters from 240 delegates across 24 countries, it highlights R&D, operational insi…
Guanchu Lu, Tianhao Li, Qun Li +5
This review categorizes integrated carbon capture and utilization (ICCU) by C1 and C2+ products, linking catalytic strategies to industrial commodities. It evaluates ICCU's potential to overcome high costs and complexity of traditional CCUS…
Julia Piotrowska, Michael Harasek, Katharina Bica‐Schröder
This review summarizes recent progress in ionic liquid (IL)-modified polymer membranes for CO2 separation, addressing the selectivity-permeability trade-off and plasticization. It covers polymerized ILs, mixed matrix membranes, and hollow f…
Yasin Khalili, Saeed Abassi, Mohammadreza Bagheri
This review provides an integrated evaluation of gas-based EOR techniques including CO2 flooding, hydrocarbon gas injection, N2 injection, and flue-gas injection. CO2 flooding offers superior recovery (10-20% incremental) and aligns with CC…
Fan Wang, D. Behera, Bratin Sengupta +2
This study developed a nanoconfined ionic liquid membrane using single-walled carbon nanotubes and CO2-selective ionic liquid, achieving CO2 permeance of 1654 GPU and CO2/N2 selectivity of 1132. Under simulated flue gas conditions, it enric…
Célia Sapart
This paper argues that phasing out virgin fossil carbon is essential for climate neutrality, but sectors like chemicals, materials, aviation, and maritime will still need carbon. Carbon Capture and Utilisation (CCU) can replace fossil carbo…
V. Seithümmer, S. Kaufmann, Felix Jonathan Brucker +3
This paper presents a novel fully electrified CO2 loop integrating direct air capture (DAC) with plasma-based calcination. Atmospheric CO2 is captured via alkaline absorption, solidified as CaCO3, then decomposed by rotating gliding arc pla…
S. Stokes, C. Philips, H. Haghighi
This paper presents industry guidelines for setting CO2 impurity specifications across the CCUS value chain, developed by a Joint Industry Project (JIP) involving 12 operators and 6 research institutions. It introduces a holistic approach t…
Mansour Almuwallad
This study develops a multi-scale digital twin framework integrating physics-informed neural networks for real-time optimization and predictive control of amine-based CO2 capture. Validated against pilot-scale data, it achieves temperature …
J. Pandit, Saw Hong Lim, K. Chan
This paper addresses the high energy consumption of solvent regeneration in CO2 capture, which accounts for over 80% of total energy demand. CO2CRC's novel hybrid capture technology reduces regeneration costs through lower temperatures, red…
Bohao Wu, N. Wu, Yongqi Li +5
This study uses CFD to investigate microscale flow and mass transfer in Kelvin cells for shipboard CCUS. Elongated cells induce columnar flow, while compressed cells promote stable hollow cylindrical liquid films, enhancing mass transfer. R…
Xu Jiang, Junliang Huo, Yuhua Feng +4
This paper experimentally investigates pressure, temperature, and phase changes during micro-leakage from buried supercritical CO2 pipelines in CCUS. It identifies a two-stage pressure decline, and shows that orifice diameter and leakage di…
Shiyu Ding, Gert Jan Kramer, André P. C. Faaij +2
A harmonized techno-economic assessment framework for co-manufacturing polyethylene and polypropylene via CCU and biomass pathways. The biomass-ethanol route is most cost-effective (€1,500–3,000/t), gasification is most energy-efficient (32…
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