This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.
Showing 721–740 of 26205 papers
Marco Gigantino, Stefano Mingolla, Lorenzo Rosa +2
A modular solar-powered unit converts crop residues and manure into stable solid carbon via anaerobic digestion, biomethanation and methane pyrolysis. A coupled mass-energy-cost model applied on a 5-arcminute global grid yields solid-carbon…
Xuechen Yang, Xiaojing Hu
This paper examines microbial carbon and its role in soil carbon sequestration. It links the global terrestrial carbon cycle to agricultural ecosystem management, discussing how microbial biomass and metabolites contribute to soil organic c…
Fei Chen, Shuo Zhang, Jiajun Chen +2
Integrating Landsat/Sentinel time series, random forest, LSTM–Land Change Modeler, and InVEST, this study reconstructs vegetation trajectories and a no-removal counterfactual after large-scale Spartina alterniflora removal in Yancheng, Chin…
Naima Iram, Kiah Eng Lim, Muhammad Ariq Khalingga +4
Soil organic carbon stocks and GHG fluxes were measured across six tropical intertidal seagrass meadows in Singapore. Top 0–25 cm stocks averaged 27.5 Mg C ha⁻¹ with high within-site variability unexplained by geomorphic setting. CO₂ flux d…
Ge Shi, Haoran Tang, Wei Wang +4
This work proposes a multi-source data fusion and explainable machine learning framework to map built-environment carbon emissions at fine spatial scales in high-density urban regions. It aims to improve urban emissions estimation accuracy …
Zeying Li, Yingying Bi, Yalong Li +4
This study quantifies the coupling coordination degree of water-energy-carbon (WEC) systems in coal chemical parks of China's Yellow River Basin and identifies driving factors. It highlights resource-decarbonization trade-offs in heavy indu…
Haslinda Mohamad Hamran, Khamarrul Azahari Razak, Hsiao‐Wen Wang +8
Using hydrodynamic modelling under 5- to 100-year ARI scenarios on Penang Island, the study maps intensifying urban flood trends. It develops a community-led NbS retrofitting framework—bioswales, infiltration wells, and retention storage in…
Khushboo ., Sofia Arif, Naji Ullah +7
Agriculture contributes 21-37% of global GHG emissions while being highly climate-vulnerable. Reviewing 109 studies, this paper assesses nature-based solutions (NbS) such as conservation tillage and agroforestry, finding carbon sequestratio…
David Blaettner, Vanessa Weiss, Lydia Maria Lienhart +3
Based on Invest4Nature public-sector interviews, this brief maps drivers and barriers to Nature-based Solution (NbS) investment. Despite cost-effective climate and community resilience benefits, NbS economic value remains under-recognized, …
David Blaettner, Vanessa Weiss, Lydia Maria Lienhart +3
This brief draws on Invest4Nature (I4N) public-sector interviews to map the drivers and barriers of Nature-based Solution (NbS) investment and the role of different governance levels. NbS deliver cost-effective environmental, social and eco…
Seokju Kim, Dohyeon Kim, Sanghyuk Koh +2
A life cycle assessment of electrochemical direct ocean capture (DOC) that applies Scope 1–3 carbon accounting and identifies supply chain emission hotspots. It quantifies net removal and environmental burdens of an emerging marine CDR path…
R. S. Thapa, Amrit Ambirajan, Pradip Dutta
This work proposes a thermodynamic framework for selecting energy-efficient solid adsorbents for CO2 capture via adsorption-desorption. It evaluates adsorbent properties that govern regeneration energy through thermodynamic metrics, systema…
Jiaxin Li, Fei Li
This review offers a carbon-centered perspective on electrochemical supercapacitive swing adsorption (SSA) for CO2 capture, where porous carbon electrodes govern charge storage, ion transport, and interfacial CO2 enrichment. It traces elect…
Sijie Lin, Cai Ning, Sijie Xiao +3
This work presents advanced metal-organic framework (MOF)-based materials as integrated platforms for capturing CO2 and simultaneously converting it photocatalytically. Combining capture with solar-driven conversion could improve the effici…
Keitaro Shiota, Mizuho Ushio, Fuyuhiko Inagaki +1
This study explores ultrasonic-assisted CO2 release using aralkylamines with aromatic moieties for direct air capture (DAC). The sorbents solidify upon CO2 absorption, enabling rapid desorption under ultrasound at mild, low-temperature cond…
James Phillip Verdon, C. S. Lim, Germán Rodríguez‐Pradilla
Using an induced-seismicity assessment framework, the authors attribute the 2026 M≥4.0 earthquakes near Alberta's Quest CCS site to CO2 injection—the first known felt induced seismicity from CCS. Two forecasting models (seismogenic index an…
Chengbo Jia, Tianyang Zhao, Guoqing Feng +6
A materials study developing PI-PEG incorporated g-C3N4 hybrid carbon molecular sieve membranes to boost CO2 capture at low temperatures. The work targets improved CO2 selectivity and permeability through membrane design, offering foundatio…
Mohamed Abbas, Tamer Mansour, Sibudjing Kawi
A Ni-MOF-derived Ni/Ca5(PO4)3OH catalyst enables low-temperature methane pyrolysis, co-producing hydrogen and carbon nanotubes with sustained activity. This turquoise-hydrogen route avoids direct CO2 emissions and yields saleable solid carb…
Yifan Zhang, Taobin Wang, Lili Liu +3
This study proposes a multi-objective capacity optimization method for PV-storage systems in low-carbon buildings, leveraging the flexibility of orderly EV charging. A bi-level model is developed: the upper level minimizes the operator's ec…
MD SHOAIBUDDIN MADNI
Healthcare emits ~4.4% of global GHG, yet the energy and materials burden of digital health infrastructure is rarely accounted for. This chapter frames green healthcare and green computing as one optimisation problem, proposing a four-layer…
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