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 941–960 of 26757 papers
Jennifer Bernal, Ana Montero, Ana Puga +5
Using Spanish data, this study compares how nutrient density relates to carbon footprint across different food classification systems. It shows how the choice of classification method shapes the trade-off between nutritional value and envir…
Shujie Sun, Jiaqi Lu
This Perspective proposes Carbon Footprint Credit (CFC), a transferable access unit denominated per kg CO2e, requiring eligible purchases of raw materials, intermediates and final products to transfer units equal to quantity times verified …
James Fullick
This work presents a web application for estimating the carbon footprint of individual anaesthetic agents. It enables clinicians to visualize how anaesthetic choices affect greenhouse gas emissions, supporting decarbonization decisions at t…
Muhammad Umar Farooq
CARINA is a measurement-and-estimation framework for energy- and carbon-aware execution of recurrent industrial analytics and ML workflows. Validated on two automotive OEM database-generation workflows (180.3 h/48.67 kWh ≈ 21.8 kg CO2e; 274…
Song Rong Chua, Ruinan Wang, Zhihua Deng +9
Ni-promoted perovskite (Ni-LCCM) catalysts were evaluated for catalytic methane decomposition (CDM) to co-produce CO2-free hydrogen and solid carbon. At 750 °C without pre-reduction, 050Ni-LCCM reached up to 11.53 gC·gNi-1, with activity go…
Qianyi Ni, Shiyu Li, Jie Zhang +1
Using multi-source spatial data from Mollisol croplands in Northeast China, this study examines nonlinear associations between crop residue cover (CRC) and soil organic carbon density (SOCD) under peri-urban urban heat island (UHI) conditio…
Muhammad Rasool Al‐Kilani, Khalid Bani‐Melhem, Haitham Elnakar +7
This study couples bench-scale electrocoagulation (EC) experiments on greywater with a screening life-cycle carbon assessment for Al and Fe electrodes at 0.1–0.3 A. COD removal rose from ~68% to ~96% with current, but GWP increased from 0.3…
Xuân Hưng Nguyễn, Maojie You
Using panel data from Chinese A-share firms in eight carbon-intensive industries (2012–2025), this study tests whether carbon performance indicators improve out-of-sample prediction of financial distress (ST designation two years ahead) bey…
Amir Mohammadian, Abdolmajid Dejamkhooy, SeyedJalal SeyedShenava +2
This study develops a bi-level scheduling framework for urban integrated energy systems where a cluster coordinator allocates a mobile energy storage logistics fleet, inter-system transfers, carbon trading, and green-certificate transaction…
Tim Jesper Suhrhoff, Christopher T. Reinhard, Yoshiki Kanzaki +8
Century-scale records for the Mississippi River Basin show agricultural liming has been a net carbon sink, with ~90% of the ideal CO2 removal potential (~0.44 GtCO2) realized at catchment scale with a decadal lag. Current accounting framewo…
Letizia Cremonini, Teodoro Georgiadis
This study assesses how urban Green Nature-Based Solutions (GNBS) protect older adults and chronic-disease populations during heatwaves, using microclimatic simulation and an adapted 6-Minute Walk Test in Bologna, Italy. A 35% tree-canopy e…
Massoud Momeni, Seyyed Arash Haddadi, Salman Soltanian +4
This study compares hydrothermal and deep eutectic solvent (DES) solvothermal pretreatments on corncob-derived activated carbons, tracking how each route shapes pore structure and surface chemistry. Pretreatment conditions govern structural…
Vishal D. Khomane, Rohit B. Meshram, Nawshad Haque +1
This study applies life cycle assessment to evaluate carbon capture and utilization (CCU) techniques integrated into the blast furnace-basic oxygen furnace (BF-BOF) steelmaking route. It quantifies the environmental performance and limitati…
Mahmoud Kiannejad Amiri, Mohammad Moosazadeh, Usama Ali +2
This study assesses the regional technoeconomics and life-cycle carbon emissions of producing power-to-liquid sustainable aviation fuel (SAF) from direct air capture (DAC) CO2 and renewable hydrogen. It highlights how costs and carbon-reduc…
Natsayi Chiwaye, Thokozani Majozi, Michael O. Daramola
This study assesses the techno-economic performance of membrane-based carbon capture and storage for coal-fired power plants in South Africa. It examines the feasibility and cost structure of membrane CCS as a decarbonization option for coa…
Xingqi Wang, Juwen Su, Kaiping Zhu +3
A fluoflavine disulfonate (FFDS)-based symmetric flow reactor enables continuous electrochemical CO2 capture and release. Proton-coupled electron transfer generates separated alkaline catholyte and acidic anolyte, allowing simultaneous sorb…
Ruqi Zhang, Mingkai Liu, Yanlong Lv +7
This work proposes an isothermal integrated carbon capture and utilization (CCU) process using Li4SiO4 sorbent, driven by green hydrogen, to produce methanol efficiently. By combining CO2 capture and conversion in a single temperature regim…
Alfonso Ferrara, Paola Imbimbo, Rocco Acciaio +3
This review surveys carbon management pathways (CCS, CCUS, CCU) with a focus on biological CCU using microalgae and carbonic anhydrases (CAs). It examines enzyme immobilization advances and support materials that improve CA stability, reusa…
Lin Zhu, Xiaoqing Ji, Dechang Yang +3
This paper proposes a physics- and semantics-guided large language model (LLM) for zero-shot load forecasting in low-carbon integrated agricultural energy systems. It aims to enable accurate demand prediction in data-scarce agricultural ene…
Xiaoshun Zhang, Jiapan Di, Zhengxun Guo +1
This study formulates a bi-objective Pareto optimization for low-carbon automatic demand response (ADR) in energy-intensive enterprises that explicitly incorporates users' electricity consumption habits and behaviors. It addresses the trade…
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