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 721–740 of 862 papers

📚 Peer-reviewed · JournalTechnologies2025#CCUSDOI

The Role of Carbon Capture, Utilization, and Storage (CCUS) Technologies and Artificial Intelligence (AI) in Achieving Net-Zero Carbon Footprint: Advances, Implementation Challenges, and Future Perspectives

Elegbeleye I.F.

This paper reviews the integration of CCUS technologies and AI for reducing carbon footprint. It summarizes advances in CCUS, AI's role in optimization and monitoring, implementation challenges, and future perspectives, emphasizing the impo…

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🇺🇸 USA📚 Peer-reviewed · JournalCommunications Earth and Environment2024#CCUSDOI

Near-term carbon dioxide removal deployment can minimize disruptive pace of decarbonization and economic risks towards United States’ net-zero goal

Adun H.

This study shows that near-term deployment of carbon dioxide removal (CDR) can minimize the disruptive pace of decarbonization and associated economic risks for the United States to achieve its net-zero goal. Early CDR allows for a more gra…

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CN📚 Peer-reviewed · JournalACS Catalysis2026#CCUSDOI

Biocoupled Catalytic Systems for CO <sub>2</sub> Conversion

Pengqian Luan, Yongxing Li, Hao Zhao +2

This review systematically summarizes recent breakthroughs in biocoupled catalytic systems that integrate biocatalysis with chemo-, photo-, or electrocatalysis for converting CO2 into high-value multicarbon compounds. It emphasizes reaction…

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📚 Peer-reviewed · JournalPanamerican Mathematical Journal2026#CCUSDOI

Prediction and Control of Carbon Dioxide Frost Points in Cryogenic Systems Using Peng-Robinson Equation of State with Lagrange’s Cubic Solver

Ganti Srikanth, G. Sudheer, U. Devi

This paper presents a thermodynamic framework for predicting CO2 frost points in cryogenic systems using the Peng-Robinson equation of state with Lagrange's cubic solver, achieving superior numerical stability over Cardano's method. Validat…

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