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 18001–18020 of 36407 papers
Md Nurus Sakib, Rui Shi
This study develops a modeling framework to predict GHG emissions from waste plastic-to-fuel pyrolysis, considering feedstock composition and process conditions. It finds that reducing reactor temperature from 600°C to 550°C and increasing …
Xiaoxuan Bai, Li J, Runpeng Tan +1
This paper addresses the issue of double counting of renewable electricity attributes in product carbon footprint accounting due to traditional regional average emission factors. Focusing on electrical equipment, it proposes a method using …
Monique T. Barakat, Favour Nwokorie, Smit S. Deliwala +3
This study assesses the carbon footprint of pediatric endoscopy, finding that the environmental impact is disproportionately large relative to the small patient size. It highlights the need for sustainability in medical procedures.
Q F Liu, Ai-di HUO, Zhixin Zhao +3
This paper analyzes the spatial-temporal evolution and driving factors of carbon footprint in Gansu Province, China from 2000 to 2020. It finds that areas like Longnan and Gannan have high carbon absorption and ecological support coefficien…
Aiqun Guan, Ziyi Cai, Yang Zhou +2
This study quantifies cradle-to-table carbon footprint and nutrition of 320 Chinese eight-cuisine recipes. Average carbon footprint is 1,337 g CO2e, 60-73% lower than Western meals. Sichuan cuisine has lowest emissions. Main contributors: n…
Tian Bai, Mahyar Panahi‐Sarmad, Jie Yan +6
This paper explores multiscale engineering of bamboo as a carbon-negative material, aiming to maximize its carbon sequestration potential for applications such as construction materials.
Alaíde Marta dos Santos, Viviany Geraldo, Rovadávia Aline de Jesus Ribas +2
This study investigates silica fume as a physical dispersing agent for carbon nanotubes (CNTs) in cementitious mortars to enhance mechanical performance and cement-use efficiency. The hybrid system (SILCNT) achieved 6.2%, 13.7%, and 16.0% i…
Yang Xu, Guohe Huang, Leian Chen +2
This paper develops a distributive system planning model for the Canadian energy-water-carbon nexus to achieve net-zero carbon emissions by 2050. The model integrates energy supply-demand, water use, and carbon emissions across regions, ena…
Michelle Lambert, Meghan Lewis
This factsheet provides a high-level overview of embodied carbon—GHG emissions from manufacturing, transportation, installation, maintenance, and disposal of building and infrastructure materials. It explains its significance in the global …
Κ. Fujita, Shunsuke Shimizu, Shiho Mukaida +3
This perspective discusses the application of materials informatics (MI) to carbon materials design for energy and sustainability technologies. AI-assisted literature mapping, regression analysis, ML-based structural modeling, image-based c…
Shu-Qiang Jiang, Zhi-Liang Dong
Using panel data from 30 Chinese provinces (2010-2022) and integrating complex network analysis with econometric modeling, this study empirically examines the dynamic impact of the digital economy on the spatial correlation network of carbo…
Indira Chatterji, Ariadna Fossas Tenas, Elise Raphael
This paper explains the basic linear algebra formulas used in carbon footprint computations. It clarifies the mathematical foundations, helping practitioners understand and improve their own calculation methods.
Michelle Lambert, Meghan Lewis, Brook Waldman +3
This toolkit provides policymakers with resources to understand the current embodied carbon policy landscape and craft policies to radically reduce embodied carbon in buildings and infrastructure. It is a practical guide for accelerating de…
Yaoyao He, Can Li
This study develops a carbon emission probability density forecasting model using quantile regression neural network (QRNN) for Anhui Province, China. It evaluates 2022 reduction progress and forecasts under four scenarios (2023-2035). The …
Chang Yong-xing, Chun-Yan Shan
This study compares China with 13 carbon peak countries using the Mann-Kendall test and STIRPAT model to analyze emission influencing factors. Results show total energy consumption as the core driver, while China's urbanization rate and GDP…
Maoyao Cai
This paper outlines methods for creating a carbon emission map to visualize geographical distribution of emissions. While details are limited, spatial mapping is fundamental for carbon accounting.
Brad Benke, M W Roberts, Yang Shen +3
This study analyzes whole life carbon assessments (WLCA) for 30 new building projects in California. It examines the balance between embodied and operational carbon, estimates carbon intensities, and identifies key contributors to embodied …
Licida M. Giuliani, Sylvia H. Vetter, Pete Smith
This paper critically examines the potential overestimation of soil carbon sequestration in carbon footprint accounting. It highlights risks from measurement uncertainties and assumptions that may exaggerate actual carbon reduction, calling…
Yishan Jiang, Qichao Zhang, Shengyi Huang +6
This work synthesizes N-doped carbon-encapsulated CoFe alloy nanocubes (CoFe-NC@C) by coating hollow CoFe Prussian blue analogs with phenolic resin and subsequent carbonization. The carbon shell prevents structural collapse and aggregation …
Matthew P. Irwin, David Russell, Irene Sung +4
This study evaluates source reduction (avoiding drapes, using non-sterile protective equipment, selective opening of suction and diathermy) in proctology procedures in New South Wales, Australia. Annual savings from source reduction were pr…
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