GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #CCUS (clear)

Showing 121–140 of 1581 papers

Preprint🇪🇺 EuropeZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

Carbonic Anhydrase Immobilization on Stabilized Lignin Nanoparticles for Aqueous-Phase Carbon Dioxide Capture

Unnimaya Thalakkale Veettil, Maja‐Stina Svanberg Frisinger, Terence Infant +3

This study develops a method to immobilize carbonic anhydrase on stabilized lignin nanoparticles, enhancing aqueous-phase CO2 capture efficiency. The approach contributes to low-cost CCUS processes using natural materials.

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🇪🇺 EuropeDatasetZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

Carbonic Anhydrase Immobilization on Stabilized Lignin Nanoparticles for Aqueous-Phase Carbon Dioxide Capture

Unnimaya Thalakkale Veettil, Maja‐Stina Svanberg Frisinger, Terence Infant +3

This study develops a method to immobilize carbonic anhydrase on stabilized lignin nanoparticles for enhanced CO2 capture from aqueous phase. The immobilized enzyme exhibits high stability and reusability, offering a low-cost approach for c…

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🇺🇸 USAJournalZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

Industrial Metaverse for Carbon Capture and Storage (CCS)

Dimitris Bakalbasis, Dimitris Karadimas, Anastasia Vassilakopoulou

This paper presents the COREu project's development of an Industrial Metaverse Platform for CCS, integrating digital twins, AI, IoT, and VR/AR to support monitoring, training, and collaboration across the CCS value chain. Initial outcomes i…

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Peer-reviewed🌍 GlobalJournalJournal of Sustainable Cement-Based Materials2026#CCUSDOI

Chemically engineered carbonation of recycled concrete powder for high-reactivity precursors in fly ash-based low-carbon concrete: from ionic evolution to structural performance

Ahmed A. Alawi Al-Naghi, Aqeel ur Rehman, Nejib Ghazouani +1

This paper proposes a method for producing high-reactivity precursors for fly ash-based low-carbon concrete through chemically engineered carbonation of recycled concrete powder. It experimentally investigates the process from ionic evoluti…

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🇨🇳 ChinaDatasetScience Data Bank2026#CCUSDOI

Dual-ligand-driven morphology control: constructing spindle-shaped Ni single-atom catalysts for high-efficiency CO2-to-CO conversion and Zn-CO2 battery applications

Feng-Qin Li, Bing-Yuan Dai, Hui Xu +9

This paper reports a novel spindle-shaped Ni single-atom catalyst for efficient CO2-to-CO conversion and Zn-CO2 battery applications, using a dual-ligand strategy for morphology control. The catalyst exhibits high electrochemical performanc…

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🇯🇵 JapanJournalZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

nobuchika-yamaki/carbon-dioxide-removal: v1

nobuchika-yamaki

An initial release of a repository on carbon dioxide removal (CDR). No detailed description is provided, but it likely contains tools or datasets for CCUS technology.

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Peer-reviewed🌍 GlobalJournalGreenhouse Gases Science and Technology2026#CCUSDOI

Efficient Carbon Dioxide Capture Using a Novel Biphasic DETA–DMCA Solvent System: CO <sub>2</sub> Absorption and Phase Separation Performance

Tejas D. Kanade, Pavankumar M. Mistry, Prakash D. Vaidya

This study proposes a novel biphasic solvent system of DETA and DMCA for post-combustion CO2 capture. The optimized formulation (DMCA:DETA=3:2) achieved high CO2 loading (~1.1 mol CO2/mol amine) and spontaneous phase separation, with a 70% …

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