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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
Sort:NewestRelevanceMost Viewed

Showing 14721–14740 of 19546 papers

Peer-reviewed🇨🇳 ChinaJournalEnvironmental Research Letters2026#Climate ScienceDOI

Substantial carbon sequestration potential over the Loess Plateau

Weixiang Cai, Chao Li, Lei Xu +5

This study evaluates carbon sequestration rates (CSR) in Loess Plateau ecosystems from 1980 to 2060 under three climate scenarios by integrating field data and models. It predicts a total increase of 2.62 Pg C in vegetation and soil, with C…

Read more →
Peer-reviewed🇨🇳 ChinaJournalGeological Journal2026#PolicyDOI

Energy Infrastructure and Geohazard Risk in China's Urban Expansion: A Hybrid <scp>MCDA</scp> Framework Integrating Bayesian Networks for Sustainable Resource Management and Climate Adaptation

Yue Shen, Xingcheng Ge, Wang Yang +2

This study proposes an MCDA framework for prioritizing sustainability criteria in China's urban development, integrating Delphi, Bayesian networks, and BWM. It finds that environmental sustainability and governance are most critical, with c…

Read more →
Peer-reviewed🇨🇳 ChinaJournalJournal of Forecasting2026#Carbon PricingDOI

Forecasting Carbon Price Trends With Image‐Based Convolutional Neural Networks

Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1

This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…

Read more →
Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#Scope 1/2DOI

Towards carbon-neutral wastewater reclamation: Long-Term performance evolution and greenhouse gas emission analysis in a mega-scale reclaimed water plant

Chaolong Gao, Lanqin Yang, Dawei Yu +4

This study analyzes long-term performance and greenhouse gas emissions from a mega-scale reclaimed water plant in China, evaluating pathways towards carbon-neutral wastewater reclamation. It provides empirical data on emission reduction pot…

Read more →
Peer-reviewedJournalORBi UMONS2026#CCUS

Quantifying Life-Cycle Burden-Shifting Intensity in Global Warming Potential Induced by Post-Combustion Carbon Capture and Storage for Decarbonizing Energy-Intensive Industries

Yao, Yipeng, Duprez, Marie-Eve, De Weireld, Guy

This paper quantifies life-cycle burden-shifting in global warming potential when post-combustion CCS is applied to energy-intensive industries. It shows that while CCS reduces direct emissions, it may increase upstream emissions, highlight…

Read more →
Peer-reviewed🌍 GlobalJournalPeer Beyond Graduate Research Conference2026#HydrogenDOI

&lt;b&gt;Life Cycle Assessment of Hydrogen&lt;/b&gt; &lt;b&gt;Production Pathways Across Canada: Evaluating Methane Pyrolysis&lt;/b&gt; &lt;b&gt;as a Transitional Low-Carbon &lt;/b&gt;&lt;b&gt;Solution&lt;/b&gt;

Nika Rezaei, Sylvia Sleep

This study conducts a cradle-to-gate LCA of hydrogen production pathways in Canada, comparing methane pyrolysis, electrolysis, and SMR-CCS. Methane pyrolysis produces solid carbon instead of CO2, enabling potential revenue streams, but requ…

Read more →
Peer-reviewed🌍 GlobalJournalMetals2026#HydrogenDOI

Numerical Modeling of Oxide Scale Formation on Low-Carbon Steel Under Reheating Furnace Conditions Using Hydrogen and Natural Gas Air–Fuel and Oxy-Fuel Mixtures

Mario Herrera‐Ortega, Armin K. Silaen, Nicholas Walla +9

This paper presents a numerical model integrating CFD and oxidation kinetics to predict oxide scale formation on low-carbon steel under hydrogen and natural gas combustion. Validated against experiments, the model achieves ~10% average devi…

Read more →
← Prev737 / 978Next →

Browse by Topic

#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