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.

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Topic: #CCUS (clear)

Showing 1521–1540 of 1915 papers

Peer-reviewedJournalJournal of Chemical Physics2026#CCUSDOI

Evaluating the role of anion structure in the physisorption contribution to CO2 solvation in [BMIm]-based systems: A molecular dynamics study

Diana Murillo-Criado, Miguel A. Gonzalez, Maria José Tenorio +2

This molecular dynamics study shows that [BMIm][HCOO] is the best thermodynamic performer for CO2 capture among three ionic liquids, with a Henry's constant of 69 bar and physisorption enthalpy of -15.42 kJ/mol. Physisorption contributes ab…

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Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

AI Driven Materials Discovery Tools - MOFevaluator: A Cloud-Based Platform for Process-Informed Discovery of MOF for Carbon Capture and Beyond - PSDI Webinar

Peter McCallum, Susana Garcia

This webinar introduces MOFevaluator, a cloud-based platform for process-informed discovery of Metal-Organic Frameworks (MOFs), enabling efficient screening for carbon capture and other applications through an interactive web interface and …

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Peer-reviewedJournalChemical Engineering Journal Green and Sustainable2026#CCUSDOI

Sustainable carbon capture using porous geopolymer-derived zeolite 4 a monoliths: Low-cost, high-performance composite sorbent

Pozhhan Mokhtari, Phillip Sin, Maja Wlodarczyk +2

This study proposes a low-cost, high-performance composite sorbent for carbon capture using porous geopolymer-derived zeolite 4a monoliths. The porous structure enables high CO2 adsorption efficiency and sustainable manufacturing.

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Peer-reviewedConferenceSPE Conference at Oman Petroleum & Energy Show2026#CCUSDOI

AI-Driven Intelligent CO2 Capture System for Decarbonization in Hard to Abate Industrial Sectors Towards Oman Vision 2040

Ahmad Saeed, Mahmoud Al Mughairi, Ala'a Al Muhtaseb

This study proposes an AI-based CO2 capture system using chemical absorption that adapts to fluctuating flue gas compositions. A tuned Random Forest regression model maps inputs to performance metrics, enabling quick screening of feasible o…

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Peer-reviewedJournalMaterials Today Chemistry2026#CCUSDOI

Porphyrin-based metal-organic frameworks for photocatalytic CO2 reduction: Structural innovation, mechanistic insights, and sustainable pathways toward carbon neutrality: A comprehensive review

Fang-Yu Liang, Yen-Ping Peng, Po-Jung Huang

This comprehensive review examines porphyrin-based metal-organic frameworks (MOFs) as photocatalysts for CO2 reduction. It covers structural innovations, mechanistic insights, and sustainable pathways toward carbon neutrality, highlighting …

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Peer-reviewed🇨🇳 ChinaJournalColloids and Surfaces A Physicochemical and Engineering Aspects2026#CCUSDOI

The study of carbonation mechanisms in cement matrix under carbon capture and storage condition: A multiscale study integrating reactive force field molecular dynamics simulation and experiments

Yujie Ying, Miaomiao Hu, Ming Liu +2

This study investigates carbonation mechanisms in cement matrix under carbon capture and storage (CCS) conditions, using a multiscale approach integrating reactive force field molecular dynamics simulations and experiments. It provides insi…

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Peer-reviewed🇨🇳 ChinaJournalCommunications Earth & Environment2026#CCUSDOI

Cost‑effective offshore carbon capture, utilization and storage deployment and transport network optimization in southern China

Pengfei Xiong, Shu Jiang, Kai Zhang +8

This study develops a phased deployment framework for offshore CCUS in southern China, using a two-stage optimization model that integrates geological constraints and GIS network optimization. Analyzing emissions from 23 cities and offshore…

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