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 20041–20060 of 20907 papers

🇪🇺 EuropeJournal2026#Carbon AccountingDOI

The Potential of Agroecosystems to Reduce Climate Change

Elżbieta Harasim, Cezary A. Kwiatkowski, Artur Pawłowski +4

This monograph presents innovative solutions for transforming agroecosystems into climate mitigation tools, focusing on biochar's physicochemical properties and carbon sequestration role. It offers both theory and practice for agricultural …

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Journal2026#PolicyDOI

Property Law

J B Ruhl, Jim Rossi

This chapter argues that climate change poses unprecedented challenges for property law. Novel technologies like carbon capture and hydrogen will challenge ownership and the rule of capture, while adaptation disputes test settled doctrines …

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Journal2026#AI × ESGDOI

Artificial Intelligence

Jan-Erik Schirmer

This chapter examines the dual role of AI in climate change: while extensive AI use poses climate risks due to its carbon footprint, selective AI application can enhance corporate climate governance, particularly in reporting and planning u…

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Preprint🌍 GlobalPreprints.org2026#Renewable EnergyDOI

A Comprehensive Review on Biomass Valorization Through Thermochemical Pathways: Product Properties and Usage of Artificial Intelligence

Gourav K. Rath, Jesús David G. Palencia, Ajay K. Dalai

This review comprehensively assesses thermochemical biomass conversion, especially hydrothermal liquefaction (HTL), examining product properties and applications of biocrude and hydrochar. It highlights the role of AI and machine learning i…

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🇪🇺 EuropeDatasetMendeley Data2026#SBT/SBTiDOI

Quantitative Reduktionsziele (Science based targets) für die betriebliche und vorgelagerte Wassernutzung unter Berücksichtigung regionaler Aspekte am Beispiel der Lieferkette eines Smartphone-Herstellers

Elisa Kilian

This paper provides raw data for a master's thesis that sets quantitative reduction targets for operational and upstream water use using Science Based Targets (SBT) methodology, with regional considerations, applied to a smartphone manufact…

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🇪🇺 EuropeDatasetZenodo (CERN European Organization for Nuclear Research)2026#ESGDOI

How challenging are ESG targets

Bannier Christina, Christian Ludwig, Heiko Mussmann

This study examines the challenges firms face in setting and achieving ESG targets. It likely explores difficulties in measuring and reporting ESG performance and implications for corporate sustainability strategies.

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🌍 GlobalJournalAdvances in computational intelligence and robotics book series2026#PolicyDOI

From Emissions Targets to Market Behavior

Shoyimkulov Asror, S. Aarthi, R. N. Ravikumar +2

This chapter analyzes how decarbonization targets for road and freight transport translate into market behavior through pricing, standards, incentives, and procurement. Using comparative case studies from advanced and emerging economies, it…

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🇺🇸 USAConferenceProceedings of the 2026 REMADE® Circular Economy Technology Summit & Conference2026#Supply ChainDOI

Multi-period Optimization of Multi-agent Circular Economy Networks: Application to Single-use PET Plastics & Polyester Textiles

Daniel Pert, A. Torres

This study proposes a multi-period optimization framework for multi-agent circular economy (CE) networks, applied to the PET packaging and polyester textile value chain. It combines LCA with planetary boundaries to analyze trade-offs betwee…

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