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 701–720 of 1011 papers
Zizhuo Xiang, Simon Holford, Rosalind King +3
For upscaling CCS, geomechanical derisking is essential. This paper shows that cold CO2 injection causes thermal contraction, stressing faults asymmetrically. The authors introduce a pressure-temperature stability diagram to visualize safe …
Rached Ben-Mansour
This paper presents mathematical modeling and simulation of oxy-combustion carbon capture using ion-transport membranes. The model is validated against experimental data, showing good agreement. It explores efficiency improvements for oxyge…
Liew Zheng Liang, Josephine Hannah Macdonald, Nursyuhada Kamaruzaman +5
This paper provides operational data and insights from a biomass gasification system integrated with carbon capture, evaluating its effectiveness as a CO2 removal technology. It covers efficiency, challenges, and scalability.
(著者不明)
This review summarizes advances in electrochemical carbon capture, focusing on integrated CO2 absorption and regeneration for efficient and stable operation.
Joo-Sung Lee, Seung-Kwon Seo, Chul-Jin Lee
This paper proposes an AI-enhanced method for designing carbon capture and utilization (CCU) networks using surrogate-based superstructure optimization. The approach efficiently explores optimal network configurations, reducing costs and en…
Jianhua Ma, Yongzhang Zhou, Luhao He +3
This paper discusses the application of artificial intelligence (AI) and system integration in geological carbon capture, utilization, and storage (CCUS). AI-driven optimization and prediction enhance efficiency and reduce costs, advancing …
Qiang Zheng, Qiong Sun, Fuxin Yang +2
This study achieves high-efficiency CO2 capture using superbase-based deep eutectic solvents. Characterization provides insights into reaction mechanisms, advancing CCUS technology.
Kubilay Bayramoğlu
This study performs multi-parameter optimization and energy assessment of a ship-based MEA (monoethanolamine) carbon capture system, aiming for efficient design under space and energy constraints.
Y.X. Zhu, J.K. Wu, Y. Huang +3
This paper proposes a heat pump assisted absorption carbon capture system with mechanical vapor recompression for biogas purification. The combination improves energy efficiency and reduces costs, advancing CCUS technology.
Eduardo Nobre Rodrigues, Nuno Baía Saraiva, José B. Ribeiro +2
This review provides a comprehensive overview and critical assessment of deep dehumidification techniques in cryogenic carbon capture systems. It identifies key challenges and research gaps, offering insights for future development.
Jørgen Finstad, Allan Dahl Andersen
This paper analyzes how multi-purpose technological innovation systems expand, using carbon capture technology as a case study. It focuses on the interaction between policy and industry to reveal drivers of system expansion, offering insigh…
Yingying Li, Weichen Shi, Caoxiong Zhuang +7
This study develops novel composites combining wood and metal-organic frameworks (MOFs) with hierarchical porosity for optimized CO2 adsorption. The tunable multiscale structure enables efficient carbon capture, offering a renewable and cos…
Antoine Verhaeghe, Lionel Dubois, Guy De Weireld +1
This paper presents a validated rate-based model for the CESAR1 solvent carbon capture process, enabling more efficient design of next-generation carbon capture systems.
Anwar Ahmad, Abdullah A. Almayeef, Mohammed Alsuwaylih +2
This paper reviews the opportunities and technical challenges of carbon capture and utilization for producing next-generation e-fuels. It focuses on the intersection of carbon recycling and synthetic fuels, discussing the potential and limi…
Enrica Luzzi, Riccardo Rea, Enzo Mangano +3
This study proposes an optimization method for 3D-printed zeolite monoliths to enhance CO2 capture performance, balancing efficiency and durability, with design guidelines for practical application.
Xiyu Li, Yixin Sun, Yun Tang +2
Using machine learning, this study reveals that current carbon capture and storage (CCS) deployment rates are insufficient to meet global climate goals, indicating a need for rapid scaling.
Ulrik Brix Madsen, Agnese Zaghini, Silke Flindt Badino +4
This study demonstrates that hydrophobic modifications of carbonic anhydrase (CA) dramatically improve its performance in CO2 capture, achieving over two orders of magnitude increase in specific activity. The modifications enhance interfaci…
Ruowei Yuan, Kewei Xu, Zhenyu Du +3
This paper proposes a system-level approach to thermally integrate and electrify carbon capture and methanol synthesis processes, aiming to maximize energy efficiency and CO2 reduction. It has potential contributions to industrial decarboni…
Yuanqiang Duan, Lin Li, Dennis Lu +4
This brief review discusses innovative carbon capture approaches using fluidized bed reactors, covering sorbent materials, process optimization, and future research directions.
Bidattul Syirat Zainal, I.M.R. Fattah, Hwai Chyuan Ong +3
This paper provides a comprehensive review and assessment of recent advancements in carbon capture (CCUS) technologies for climate mitigation. It analyzes technology maturity, costs, and deployment potential, offering insights for policy an…
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