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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Showing 1361–1380 of 12653 papers

🇺🇸 USA📚 Peer-reviewed · JournalAustralian Energy Producers Journal2026#Energy EfficiencyDOI

Session 3. Oral Presentation for: Lower-Carbon IT: information technology strategies for emissions reduction in energy enterprises

Krystle Harmon

This paper presents a Lower-Carbon IT Framework for energy enterprises to embed emissions-aware decisions into IT architecture, workload placement, and data lifecycle management. A case study provides 24-month guidance for reducing digital-…

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🌍 Global📚 Peer-reviewed · JournalAgriculture, Ecosystems & Environment2026#OtherDOI

Paddy rice cultivation on drained peatlands as a greenhouse gas mitigation option — A systematic nano-review of global data

Chloé Wüst-Galley, Jens Leifeld

This paper systematically reviews global data on paddy rice cultivation on drained peatlands as a greenhouse gas mitigation option. It evaluates the trade-off between CO2 emissions from peat drainage and CH4 emissions from rice paddies, sug…

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📚 Peer-reviewed · JournalJournal of Agricultural Engineering2026#AI × ESGDOI

A low-cost AI-based sensing approach to quantify ammonia volatilization as a driver of indirect greenhouse gas emissions

Ünal Kızıl, Cafer Türkmen, Yakup Çıkılı +2

This paper presents a low-cost, AI-enhanced electronic nose system for quantifying ammonia (NH₃) volatilization from fertilized soils, which contributes to indirect nitrous oxide (N₂O) emissions. Using machine learning, Gradient Boosting ac…

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🌍 Global📚 Peer-reviewed · JournalEcological Informatics2026#AI × ESGDOI

AutoML and explainable AI (XAI) for rice production systems: Unraveling yield predictors and greenhouse gas emissions in Bangladesh

Zia U. Ahmed, Tek B. Sapkota, Md. Khaled Hossain +3

This study applies AutoML and explainable AI (XAI) to rice production systems in Bangladesh, identifying key yield predictors and estimating greenhouse gas emissions. Machine learning models reveal relationships between weather, soil data, …

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🇺🇸 USA📚 Peer-reviewed · JournalAustralian Energy Producers Journal2026#Carbon AccountingDOI

Climate Tech Visual Presentation CT05: Automation of greenhouse gas emissions quantification in natural gas production for operational flexibility

Disha Gadre

This case study from the US Appalachian Basin demonstrates how automating GHG calculations for natural gas operations improves accuracy, transparency, and efficiency. Operational activity data and measurement inputs are mapped directly into…

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🌍 Global📚 Peer-reviewed · JournalThe CASE Journal2026#ESGDOI

Infosys: from carbon neutrality to ESG consulting leadership

Arup Majumdar, Mayuri Srivastava, Subba Lakshmi Prabha +1

This case study examines Infosys, an Indian IT firm, after achieving carbon neutrality in 2020, as it faces the strategic challenge of transitioning its internal sustainability successes into an external ESG consulting offering. It highligh…

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CN📚 Peer-reviewed · JournalFrontiers in Environmental Science2026#Energy TransitionDOI

Sector-specific carbon emission trajectories in Beijing (2025–2035): a STIRPAT–LEAP coupled framework for identifying optimal decarbonization pathways

Yu Zhang, Siti Norliyana Harun, Marlia M. Hanafiah

This study models sector-specific carbon emission trajectories for Beijing's industrial, building, and transportation sectors using a coupled STIRPAT-LEAP framework. It estimates elasticity heterogeneity and marginal abatement cost curves, …

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🌍 Global📚 Peer-reviewed · JournalAustralian Energy Producers Journal2026#CCUSDOI

Session 10. Oral Presentation for: Why Australia’s energy and decarbonisation goals can only be fulfilled with strategic new seismic acquisition

Simon Molyneux

This oral presentation argues that Australia's energy security and decarbonisation goals require reducing subsurface uncertainty in hydrocarbon exploration, CCS, and storage projects, which depends on strategic new seismic data acquisition.…

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🌍 Global📚 Peer-reviewed · JournalSustainability Switzerland2025#CCUSDOI

Risks and Challenges in CO2 Capture, Use, Transportation, and Storage

Meehan D.N.

This paper systematically reviews the key risks and challenges in CCUS (CO2 capture, use, transportation, and storage). It comprehensively examines technical, economic, and regulatory barriers, providing policy insights for CCUS deployment.…

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