gxceed
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 1–10 of 10 papers

📚 Peer-reviewed · JournalIOP Conference Series: Earth and Environment2026#CCUSDOI

Utilization of captured carbon for fuel and chemical synthesis

C. Tan, C. T. Yaw, J. S. P. Koh +2

This mini-review introduces carbon capture and utilization (CCU) technologies, focusing on thermochemical and electrochemical conversion of CO2 into fuels and chemicals such as syngas, ethanol, methanol, and methane. It outlines the mechani…

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🌍 Global📚 Peer-reviewed · JournalTechnology & Innovation2026#CCUSDOI

No climate neutrality without creating a circular carbon economy

Célia Sapart

This paper argues that phasing out virgin fossil carbon is essential for climate neutrality, but sectors like chemicals, materials, aviation, and maritime will still need carbon. Carbon Capture and Utilisation (CCU) can replace fossil carbo…

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🌍 Global📚 Peer-reviewed · JournalAdvanced Materials Interfaces2026#CCUSDOI

Integrating Direct Air Capture Technology and Plasma Based Calcination for Sustainable Syngas and Concrete – An Experimental Investigation

V. Seithümmer, S. Kaufmann, Felix Jonathan Brucker +3

This paper presents a novel fully electrified CO2 loop integrating direct air capture (DAC) with plasma-based calcination. Atmospheric CO2 is captured via alkaline absorption, solidified as CaCO3, then decomposed by rotating gliding arc pla…

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🌍 Global📚 Peer-reviewed · JournalProcesses2026#CCUSDOI

Multi-Scale Digital Twin Framework with Physics-Informed Neural Networks for Real-Time Optimization and Predictive Control of Amine-Based Carbon Capture: Development, Experimental Validation, and Techno-Economic Assessment

Mansour Almuwallad

This study develops a multi-scale digital twin framework integrating physics-informed neural networks for real-time optimization and predictive control of amine-based CO2 capture. Validated against pilot-scale data, it achieves temperature …

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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