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.
🇺🇸 USA📚 Peer-reviewed · JournalFrontiers in Soil Science2026#OtherDOI
Spatiotemporal variation in soil carbon-to-nitrogen and carbon-to-hydrogen ratios: a case study from agricultural farmlands in Southern Texas, USA
Matthew C. Enebe, Richard W. Griffin, Ram L. Ray +6
This study investigated spatiotemporal variation in soil C:N and C:H ratios in agricultural farmlands in Southern Texas. Results showed higher carbon content in topsoil, with C:N and C:H ratios following similar patterns. Soil pH in the opt…
📚 Peer-reviewed · JournalMUST Journal of Research and Development.2026#AI × ESGDOI
Application of Artificial Intelligence in Clean Cooking Energy Technologies for Enhancing Access to Carbon Credits in Tanzania
Samson Mwakapoma, Bertha Mwaituka, Ally Ngulugulu
This study explores the use of AI in clean cooking technologies in Tanzania to improve system performance and access to carbon credits. Key AI functions include real-time monitoring, predictive maintenance, user behavior analysis, and AI-ba…
🌍 Global📚 Peer-reviewed · JournalSustainability2026#Carbon PricingDOI
Farmers’ Participation in Voluntary Carbon Markets: An Integrated TPB–COM-B Analysis in Thailand
Sukanya Sereenonchai, Noppol Arunrat, P. Sae-heng
This study integrates TPB and COM-B to analyze factors associated with Thai farmers' intention and participation in voluntary carbon markets (VCM). Using PLS-SEM on survey data from 240 farmers, perceived behavioral control (PBC) showed the…
🇨🇳 China📚 Peer-reviewed · JournalAIP Advances2026#CCUSDOI
Integrated direct dimethyl ether synthesis process based on internal cycle of CO2: Technical economy and multi-criteria evaluation for carbon capture, utilization, and storage
Yue Wang, Hossein Babaei
This study investigates a carbon-integrated direct DME production system using internal CO2 looping as a thermodynamic design variable. Ten configurations at 5000 MTPD capacity were evaluated with two H2/CO ratios and controlled CO2 recycli…
📚 Peer-reviewed · JournalEnergy2026#CCUSDOI
Thermodynamic and economic analysis of a novel biomass oxy-fuel combustion system for power and methanol cogeneration with cryogenic carbon capture and purge gas recycle
Zhicong Wu, Junxian Wu, Fenglin Zhang +1
This paper presents a thermodynamic and economic analysis of a novel biomass oxy-fuel combustion system that co-produces power and methanol, incorporating cryogenic carbon capture and recycle of purge gas. The study evaluates efficiency and…
📚 Peer-reviewed · JournalInternational Journal of Science and Research Archive2026#CCUSDOI
Synthesis, Characterization and CO₂ Adsorption Performance of a Novel POM-132@MOF-5 Composite for Carbon Capture Applications
Tehseen Ullah, Sadiq ur Rahman, Sumayya Fayyaz +1
This study synthesized a novel POM-132@MOF-5 composite for CO₂ capture. Characterization via FTIR, XRD, SEM, and EDS confirmed successful integration. CO₂ adsorption tests at 273 K and pressures from 0.5 to 2.5 bar showed a capacity of 25 m…
🌍 Global📚 Peer-reviewed · JournalJournal of Applied Phycology2026#Carbon AccountingDOI
Seaweed form as a carbon capture proxy: surface area-to-volume ratio as a general predictor of marine macroalgae productivity
João P. G. Machado, Vinícius P. de Oliveira
This study tested whether surface area-to-volume ratio (AV) predicts primary productivity and carbon capture across 11 tropical macroalgal species. AV strongly correlated with net and gross primary productivity (NPP, GPP), explaining 57-65%…
🇺🇸 USA📚 Peer-reviewed · JournalIndustrial & Engineering Chemistry Research2026#CCUSDOI
Designing a Robust MEA-Based Post-Combustion Carbon Capture Process with Capture Rate Guarantees
Jason A. F. Sherman, Anca Ostace, Douglas A. Allan +1
This work applies robust optimization (PyROS) to design a monoethanolamine-based post-combustion carbon capture process under uncertainty. It achieves risk-averse designs for CO2 capture rates from 90% to over 99%, with solutions up to 98% …
📚 Peer-reviewed · JournalGreen Carbon2026#AI × ESGDOI
The AI Revolution in Carbon Capture, Utilization, and Storage
Hang Yang, Hongli Diao, Shibin Xia
This paper discusses how AI technologies revolutionize carbon capture, utilization, and storage (CCUS). Machine learning and optimization algorithms enable efficient CO2 capture, storage site selection, and process monitoring. It highlights…
🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Energy TransitionDOI
“Green Dividends” from Deep Regional Integration: The Effects of Energy Market Integration on the Quantity and Quality of Low-Carbon Innovation
Shaozhou Qi, Wenna Zhang, Chaobo Zhou
This paper uses a country-industry-year panel of 25 EU member states and 39 industries from 2003-2020 to examine the effect of energy market integration (EMI) on low-carbon technology innovation (LCTI) quantity and quality. An EMI index is …
📚 Peer-reviewed · JournalSustainable Energy Technologies and Assessments2026#Energy TransitionDOI
A SAFE reinforcement learning approach for low-carbon community energy cooperative management considering electric vehicle charging satisfaction
Shouxiang Wang, Fayang Tian, Xuan Zhang +3
This paper proposes a reinforcement learning approach for cooperative energy management in low-carbon communities, incorporating electric vehicle charging satisfaction to achieve sustainable operations.
📚 Peer-reviewed · JournalCIB Conferences2026#OtherDOI
Development Of Low-Carbon Mortar Using Recycled Concrete Powder And Fly Ash For Sustainable And Circular Construction
Lanh Thi Vinh Pham, Dung Tien Nguyen, Thang Thi Nguyen +1
This study develops low-carbon mortar using recycled concrete powder (CP) and fly ash as partial cement replacements. The optimum mix with 60% CP and 10% fly ash achieves masonry-grade strength while reducing material cost by 43% and global…
🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Energy TransitionDOI
How Does E-Commerce Development Affect Urban Low-Carbon Transition: New Insights from China’s E-Commerce Demonstration Pilot Zones
Jiarui Hu, Yuchen Yan, Xianpu Xu
Using a panel dataset of 283 Chinese cities from 2006-2022, this study employs a multi-stage DID approach to analyze how the National E-commerce Demonstration City Pilot Policy (NEDCP) affects urban carbon emissions. Results show significan…
🌍 Global📚 Peer-reviewed · JournalFigshare2026#OtherDOI
A Dendritic‘All-for-One’ Dyeing Platformfor Auxiliary-Free, Low-Carbon, Water-Efficient Dyeing of Leather
Madhan Kumar Meganathan, Mohammed Abu Javid, Sathya Narayanan Bhaskar +1
This study introduces an auxiliary-free leather dyeing process using PAMAM-G0 dendrimers. It reduces water and energy consumption by ~50%, avoids ~831 kg CO2 per ton of leather, and enables a closed-loop system reusing dye baths for five cy…
🌍 Global📚 Peer-reviewed · JournalSpringer Link (Chiba Institute of Technology)2026#Renewable EnergyDOI
Integration of renewables and storage for maximum flexibility: A digital design of low-carbon grids (smart grids)
Július Šimčák, Vladimír Szomosi, Ardian Hyseni +3
This paper analyzes the synergy between next-gen renewables, battery energy storage systems (BESS), and smart grids. It shows that distributed and centralized BESS stabilize fluctuations and provide network services like frequency regulatio…
📚 Peer-reviewed · JournalSustainable Cities and Society2026#Carbon AccountingDOI
Towards low-carbon cities: high-resolution mapping of building-stock carbon emissions with planning indicator based diagnosis under spatial heterogeneity
Mei Dou, Liu Yang, Yuhao Qiao +1
This study proposes a high-resolution mapping method for building-stock carbon emissions. By considering spatial heterogeneity and using planning-indicator-based diagnosis, it provides concrete measures towards low-carbon cities. The findin…
🇪🇺 Europe📚 Peer-reviewed · JournalIET conference proceedings.2026#Energy TransitionDOI
Uncertainty-aware probabilistic energy forecasting for low-carbon industrial energy management systems
Divyabhan S. Duggal, Haimeng Wu, Neil S. Beattie +1
This paper proposes a probabilistic multi-horizon forecasting framework based on a multi-output quantile LSTM architecture for industrial energy management with on-site renewables. It uses conformal prediction to improve prediction interval…
CN📚 Peer-reviewed · JournalApplied Science and Innovative Research2026#Energy EfficiencyDOI
Research on the Practice of Digital Low-carbon Management of Construction Projects from the Perspective of Globalization
Juping Ge, Qixiang Miao, Xiaozhen Wang +3
This paper explores the application of digital technologies (BIM, IoT, digital twin) for low-carbon management across the entire lifecycle of construction projects. It compares domestic and international cases, summarizes implementation mod…
🇨🇳 China📚 Peer-reviewed · JournalJournal of Rural Studies2026#Carbon AccountingDOI
Multidimensional pathways for emission reduction and carbon sequestration in comprehensive land consolidation: A configurational analysis of low-carbon behaviors in rural China
Qi Li, Wenxiong Wang, Zongbao Feng +2
This paper evaluates pathways for emission reduction and carbon sequestration in comprehensive land consolidation in rural China through configurational analysis of low-carbon behaviors. It suggests that combinations of various factors cont…
📚 Peer-reviewed · JournalChemical Engineering and Processing - Process Intensification2026#CCUSDOI
The steam barrier as a design constraint in carbon capture: Pathways to low-temperature regeneration
Leandros Paschalidis, Kai Fabian Kruber, Simon Müller +1
This paper examines the steam barrier as a design constraint in carbon capture and explores pathways to low-temperature regeneration, potentially improving CCUS efficiency.