GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.
Peer-reviewed🌍 GlobalJournalRemote Sensing Letters2026#CCUSDOI
Artificial Intelligence-driven techniques aiding Carbon Capture, Utilization, & Storage (CCuS): a roadmap
Mariam Valladares-Castellanos, Sreekanta Das, Supratik Mukhopadhyay +4
This paper presents a roadmap for applying AI techniques to Carbon Capture, Utilization, and Storage (CCUS). It discusses how AI can optimize processes, improve predictions, and enable real-time monitoring, thereby enhancing CCUS efficiency…
Peer-reviewedJournalBioresource Technology2026#CCUSDOI
Carbon capture in breweries using microalgae: Preliminary techno-economic insights for ruminant feed applications
Kira J Picknell, Nature Poddar, Mathieu Pernice +4
This paper provides a preliminary techno-economic assessment of using microalgae to capture CO2 from breweries and converting the biomass into ruminant feed. Early results indicate potential for integrated carbon capture and value-added fee…
Peer-reviewed🇨🇳 ChinaJournalChinese Journal of Chemical Engineering2026#CCUSDOI
Comprehensive evaluation of coal gasification-based cogeneration systems for hydrogen production with carbon capture
Yanhan Gan, Feng Li, Caizong Bao +3
This paper comprehensively evaluates the performance and economics of coal gasification-based cogeneration systems for hydrogen production integrated with carbon capture (CCS). It provides insights into CCUS deployment within China's energy…
Peer-reviewed🇨🇳 ChinaJournalConstruction and Building Materials2026#CCUSDOI
Self-healing behavior of carbon-capturing cementitious materials via in-situ CO2 mixing
Jie Yang, Won Kyung Kim, Hyunuk Kang +4
This study proposes a method to capture CO2 directly in cement mixing, enhancing self-healing properties. Tests show improved strength and durability, offering a potential pathway for decarbonizing the cement industry.
Peer-reviewedJournalCarbon Capture Science & Technology2026#CCUSDOI
Bio-integrated carbon capture and utilization of CO2-to-methane under increasing concentrations of capture agent N-methyl diethanolamine (MDEA)
Madhuni Madhushika Wijesooriya, Mathias Eskildsen, Rubens Perez Calegari +2
This study investigates the effect of increasing concentrations of the capture agent N-methyl diethanolamine (MDEA) on a bio-integrated carbon capture and utilization (CCU) process converting CO2 to methane. MDEA is used as a CO2 absorbent;…
Peer-reviewed🇪🇺 EuropeJournalChemie Ingenieur Technik2026#CCUSDOI
Internal Carbon Cycles in the Steel Industry: Pathways for CO <sub>2</sub> Management and Carbon Capture Utilization
Florian Haakmann, Nina Kolbe, Julian Suer +2
This review examines the technical feasibility and environmental benefits of internal carbon cycles and CCU integration in the steel industry. It proposes a structured classification of internal carbon cycles by gas stream, conversion step,…
JournalZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI
Electrochemical Carbon Capture and Conversion: A Future Green Approach
Dr. Sarita Chaudhary, Dr. Mala Mathur , Dr. Komal Arora , Dr. Santosh Kumar Agrawal, Dr. Abhishek Gehlot
This paper reviews electrochemical carbon capture and conversion technologies, covering electrode catalysts, electrolyzer design, and process integration. It highlights the potential for producing green fuels and chemicals using renewable e…
Peer-reviewed🇨🇳 ChinaJournalIndustrial & Engineering Chemistry Research2026#CCUSDOI
HiGee Intensified Low-Energy Carbon Dioxide Capture Using Phase-Change Absorbent: A Pilot-Scale Study
Rui‐Qi Jia, Zhi-Yuan Xue, Guang‐Wen Chu +2
This pilot-scale study demonstrates a phase-change absorbent for CO2 capture using HiGee rotating packed bed technology. The novel absorbent reduces regeneration energy by 48.08% compared to MEA, achieving 2.01 GJ/t CO2 with 91.64% capture …
Peer-reviewed🌍 GlobalJournalJournal of the American Chemical Society2026#CCUSDOI
Covalent Organic Frameworks with Deep Eutectic Linkages for Low-Concentration Carbon Capture
Hui Li, Xiansong Shi, Weiwei Li +4
This study develops a covalent organic framework with deep eutectic linkages (Im-TBD) for low-concentration CO2 capture. It achieves high CO2/N2 selectivity (1711 under DAC, 230 under NGCC flue gas) and low regeneration temperature (60°C) w…
Peer-reviewedJournalJournal of Cleaner Production2026#CCUSDOI
Systematic design and optimization of integrated CCUS systems for methane and methanol production
Nguyen T.T.H.
This paper presents a systematic approach for designing and optimizing integrated CCUS systems specifically for methane and methanol production. It aims to enhance overall efficiency and economic feasibility, offering insights for practical…
Peer-reviewedJournalCarbon Capture Science and Technology2025#CCUSDOI
Innovative high temperature heat pump concepts for an economic decarbonization of a carbon capture unit
Singh Rawat S.
This paper introduces innovative high-temperature heat pump concepts for economically decarbonizing carbon capture units. The proposed designs aim to reduce energy use and costs in CCUS, improving overall system efficiency and supporting in…
Peer-reviewedJournalCarbon Capture Science and Technology2026#CCUSDOI
Comparative environmental techno-economic assessments (eTEAs) of onboard amine-based carbon capture and boil-off gas handling systems on LCO2 carriers
Shin H.
This paper conducts comparative environmental techno-economic assessments of onboard amine-based carbon capture and boil-off gas handling systems on LCO2 carriers, evaluating performance and cost for decarbonizing maritime transport.
Peer-reviewedJournalCarbon Capture Science and Technology2025#CCUSDOI
Decarbonizing Saudi Arabia energy and industrial sectors: Assessment of carbon capture cost
Rowaihy F.
This paper assesses the cost of carbon capture in Saudi Arabia's energy and industrial sectors for decarbonization. It evaluates the feasibility and economics of CCUS implementation.
Peer-reviewedJournalRecent Patents on Engineering2026#CCUSDOI
Development Frontier and Trend Prediction on Carbon Capture Technology
Fang S.
This paper reviews the development frontier and predicts trends in carbon capture technology (CCS/CCUS). It provides an overview of recent research progress and future directions.
Peer-reviewedJournalEnergies2025#CCUSDOI
Enhanced Oil Production Forecasting in CCUS-EOR Systems via KAN-LSTM Neural Network
Xia W.
This paper proposes a KAN-LSTM hybrid neural network for accurate oil production forecasting in CCUS-EOR systems. The method outperforms traditional approaches, supporting economic evaluation and operational optimization of CCUS projects.
Peer-reviewedJournalEnergies2023#CCUSDOI
A Systematic Review of Carbon Capture, Utilization and Storage: Status, Progress and Challenges
Liu E.
This systematic review examines the current status, progress, and challenges of Carbon Capture, Utilization and Storage (CCUS), offering insights for technology deployment and policy design in decarbonization.
Peer-reviewedJournalClean Technologies and Environmental Policy2026#CCUSDOI
Carbon dioxide capture, utilization, and storage: recent approaches, challenges, and future prospects toward a carbon-free world
Sultan N.S.
This review comprehensively examines recent approaches, challenges, and future prospects of carbon dioxide capture, utilization, and storage (CCUS) toward a carbon-free world. It discusses the role of CCUS in decarbonization and outlines ke…
Peer-reviewedJournalEnvironmental Science Advances2026#CCUSDOI
Synthesis, weathering and machine learning modeling of nutrient-doped fast-weathering silicate minerals for carbon capture, utilization and sequestration (CCUS)
Ali A.
This study synthesizes nutrient-doped fast-weathering silicate minerals and uses machine learning to model their weathering process for carbon capture, utilization, and sequestration (CCUS), aiming to enhance the efficiency of carbon remova…
Peer-reviewedJournalPetroleum Science2026#CCUSDOI
An integrated deep learning framework for full-cycle CCUS-EOR evaluation and optimization under carbon neutrality
Shen B.
This paper proposes an integrated deep learning framework for evaluating and optimizing the full cycle of CCUS-EOR (Carbon Capture, Utilization, and Storage with Enhanced Oil Recovery) under carbon neutrality goals. The deep learning approa…
Peer-reviewed🌍 GlobalJournalFrontiers in Climate2022#CCUSDOI
Adapting the Technology Performance Level Integrated Assessment Framework to Low-TRL Technologies Within the Carbon Capture, Utilization, and Storage Industry, Part I
Mendoza N.
This paper proposes adapting the Technology Performance Level (TPL) integrated assessment framework to low Technology Readiness Level (TRL) technologies in the CCUS industry. Part I presents the theoretical basis and application procedure, …