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.
Journal2026#OtherDOI
Biochar as a promising material for improving soil fertility and climate change mitigation
Elżbieta Harasim, Cezary A. Kwiatkowski, Artur Pawłowski +4
Biochar, produced from biomass pyrolysis, is a promising material for improving soil fertility and mitigating climate change by sequestering carbon in soil. This paper discusses its potential benefits and applications in sustainable agricul…
🇪🇺 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 …
🌍 GlobalJournal2026#Energy TransitionDOI
AI in Energy Management Strategies for Environmental Sustainability
Mamta
This chapter examines how AI technologies enhance energy management for environmental sustainability. It covers AI applications in buildings (HVAC, lighting), industrial processes, electrical grids (demand response, renewable integration), …
JournalZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI
Next-Generation Bioenergy Feedstocks: A Comprehensive Guide for Renewable Energy Research
bioenergy science
This systematic review categorizes next-generation bioenergy feedstocks into four generations, covering lignocellulosic, algal, and synthetic biology approaches. It discusses pretreatment, enzymatic hydrolysis, and thermochemical conversion…
PreprintResearch Square2026#BiodiversityDOI
Structure-mediated carbon–biodiversity relationships across agroforestry typologies in tropical Thailand
Chattanong Podong, Krissana Khamfong, Supawadee Noinamsai +1
This study examines how vegetation structure mediates carbon storage and biodiversity in agroforestry systems in Thailand. It finds trade-offs and synergies across typologies, offering insights for integrated climate and biodiversity manage…
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 …
Preprint🇺🇸 USAResearch Square2026#Carbon PricingDOI
Carbon Prices and Cooking Fires: How Decarbonization Pathway Design Shapes Household Energy Burdens
Mel George, Leon Clarke, Jihoon Min +4
This study examines how decarbonization pathway design affects household energy burdens, particularly cooking fuel costs. It highlights the risk of carbon pricing disproportionately burdening low-income households and emphasizes the need fo…
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…
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…
Journal2026#OtherDOI
Microbial Solutions for Reducing Greenhouse Gas Emissions in Agriculture
Stella Suanu, Leh-Togi Zobeashia, Chisom Nwatu Jennifer
Agriculture is a major GHG emitter. Microbial solutions like methanotrophs and nitrification inhibitors can reduce methane and nitrous oxide. Case studies show promise in livestock, rice, and composting. Challenges include quantification an…
🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI
Global potential of fishery–photovoltaic integration for sustainable energy and climate mitigation
Ding Qiannan
This paper assesses the global potential of integrating fisheries with photovoltaic systems (fishery-PV). Floating solar panels on aquaculture ponds can generate renewable energy without competing for land, while maintaining fishery product…
Journal2026#Renewable EnergyDOI
Nanomaterial-Based Photocatalysts for Sustainable Bioenergy Production
Kankana Saikia, Soumitra Nath, Suprakash Rabha +3
This chapter reviews nanomaterial-based photocatalysts for sustainable bioenergy production, covering TiO2, ZnO, CdS, g-C3N4, perovskites, MOFs, and hybrids. Photocatalytic pretreatment enhances lignin breakdown, boosting sugar release by u…
🇪🇺 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…
🇪🇺 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.
🌍 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…
🌍 GlobalJournalOpen MIND2026#Carbon AccountingDOI
pejovic/Data-driven-targeted-sampling-paper: Version 1.0.1 – Data and code for Data-driven targeted SOC sampling study
Milutin Pejović
This repository provides data and code for a data-driven targeted soil organic carbon (SOC) sampling study. It is an initial release associated with a manuscript submission.
JournalZenodo (CERN European Organization for Nuclear Research)2026#ESGDOI
ESG Reporting Practices in SMEs: A Systematic Literature Review of Motivations, Challenges, and Performance Links
Muniru Sewanyina
This paper systematically reviews the motivations, challenges, and performance links of ESG reporting in small and medium-sized enterprises (SMEs). It synthesizes drivers, barriers, and impacts on financial and non-financial performance, ou…
🇺🇸 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…
SAE technical paper series2026#Energy EfficiencyDOI
A Comparative Analysis of Passenger Car Fuel Economy between Laboratory and Real Driving Testing
A. Singh, Revanth Kumar Bathina, S. Tijare
This study compares fuel economy (CO2 emissions) of passenger cars in India between laboratory tests and real driving emissions (RDE) tests for gasoline, diesel, and bi-fuel (CNG+gasoline) vehicles. Using a modified carbon balance method al…
🌍 GlobalConferenceOffshore Technology Conference2026#CCUSDOI
Process Optimization and Techno-Economic Assessment of CO2 Capture Using a Polymeric Solvent System
Yousuf Bin Arif, Abu Hurairah Hassnain, Nouman Harris +4
This study investigates sodium carboxymethyl starch (Na-CMS) as a polymeric solvent for post-combustion CO2 capture, using Aspen Plus simulation and techno-economic assessment. Optimal performance at 30°C, 10 bar, and 26 kmol/h solvent circ…