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 81–100 of 229 papers

Peer-reviewed🌍 GlobalJournalJOM2026#CCUSDOI

Developments on Decarbonization of the Iron and Steel Industry

Fiseha Tesfaye, Leiting Shen, Sudatta Das +1

This paper reviews recent developments in decarbonization of the iron and steel industry, including emerging technologies such as hydrogen-based direct reduction and carbon capture utilization and storage. It discusses policy frameworks and…

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Peer-reviewed🇺🇸 USAJournalEnergies2026#CCUSDOI

A Systematic Review of Different Carbon Capture Technology Simulation Tools

Moones Keshvarinia, Cameron A. MacKenzie, Mark Mba Wright

This systematic review evaluates 16 simulation tools for carbon capture and storage (CCS) technologies using five criteria: chemical process simulation, dynamic modeling, thermodynamic properties, heat transfer, and integration. It identifi…

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Peer-reviewed🌍 GlobalJournalJournal of Chemical Technology & Biotechnology2026#CCUSDOI

Comprehensive review of nitrogen‐doped porous carbon materials for <scp> CO <sub>2</sub> </scp> capture: synthesis techniques, computational modelling, machine learning and future perspectives

Shajaratuldur Ismail, Farihahusnah Hussin, Zong Yang Kong +1

This review comprehensively covers synthesis methods (pyrolysis, activation, template-assisted, etc.) for nitrogen-doped porous carbons for CO2 capture, and integrates machine learning (ML) models to predict adsorption capacity from key fea…

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Peer-reviewed🌍 GlobalJournalNext Energy2026#CCUSDOI

Carbon capture, utilization, and storage (CCUS) for next-generation energy systems: Technologies, integration strategies, and future perspective

R. Ranjith, G. Roy Richi Renold, K. Jeyapappa +2

This paper provides a comprehensive review of carbon capture, utilization, and storage (CCUS) technologies, their integration into next-generation energy systems, and future perspectives. CCUS is highlighted as essential for decarbonizing p…

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Preprint🇪🇺 EuropeZenodo2026#CCUSDOI

POSTED: Potsdam open-source techno-economic database

Verpoort, Philipp C., Bachorz, Clara, Dürrwächter, Jakob +5

This update to the POSTED open-source techno-economic database adds data on direct reduction with carbon capture for steel production, supporting techno-economic analysis of decarbonization pathways.

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Peer-reviewed🌍 GlobalJournalInternational Journal of Advanced Biochemistry Research2026#CCUSDOI

Production and utilization of biochar: A comprehensive review

Avantika Thakur, Mansi Nautiyal, Sharad Pandey

This review comprehensively covers biochar production methods (pyrolysis, gasification, hydrothermal carbonization, torrefaction) and its applications in agriculture, environmental management, climate change mitigation, and energy. Biochar …

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#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other