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 7501–7520 of 28694 papers
Fei Yu, Zhiqi Yang, Xiaochen Zhang +3
This paper reviews recent advances in carbon-based adsorbents for uranium capture, focusing on active site design and interfacial regulation. Applications in nuclear fuel cycle and environmental remediation are expected, but direct relevanc…
Yuzhi Wang, Cong Zhang
This study analyzes the causal effect of China's intellectual property pilot policy on low-carbon green energy eco-co-evolution (LCEE) using spatial Durbin DID and double machine learning. The inclusive potential of regional innovation ecos…
Wei‐Hsin Chen, Y.C. Chen, Jo‐Shu Chang +3
This study applies surrogate-driven multi-objective optimization to sorption-enhanced steam methane reforming (SE-SMR), targeting cost-effective and low-carbon production of high-purity hydrogen. It quantitatively evaluates trade-offs betwe…
Saurabh Tiwari, Hyoju Ahn, Jongwon Lee +1
This study investigates whether metallurgy-informed feature engineering improves machine learning prediction of mechanical properties in low-carbon steel under small-data conditions. Using 300 samples and five physically meaningful descript…
Tomasz Trzepieciński, Marwan T. Mezher, Marek Kowalik +4
This study applies SHAP and neural networks to analyze friction parameters in sheet metal forming. Rape-seed oil showed best lubrication among vegetable oils. Surface roughness was the most important factor (35%). ML models can predict COF,…
Yuhan Wang, Lili Yang, Bing Liu +4
This review focuses on biological treatment of food oily wastewater (FOW), summarizing substrate characteristics, biodegradation pathways, and process performance, while exploring low-carbon perspectives. It highlights potential for energy …
Yong-Qing Chen, Ziyu Liu, Yu-Xiang Gan +2
This study develops sintering-free geopolymer composites using iron ore tailings waste, achieving high-performance EMI shielding with a low-carbon process. It contributes to waste valorization and carbon emission reduction in materials prod…
О.А. Локтионов, Д.М. Комаров
This paper analyzes low-carbon development technologies in the energy sector within a framework of indicators for CO2 emission reduction potential. Although specific methods and findings are not available, it likely offers insights for poli…
Marcelo Carlos Ribeiro, Vanderson Eney de Matos, Stephânia da Consolação Silva Nogueira +2
This protocol documents the plan for a systematic review and meta-analysis of auxiliary and alternative reductant injection in blast furnace ironmaking. It will assess operational, energetic, thermal, metallurgical, and environmental effect…
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper explores pathways for adopting low-carbon and ultra-high-performance concretes in Canada's built environment, contributing to decarbonizing the construction sector. It outlines technical and policy measures to advance sustainable…
Alex Kihehere Mukiga
This qualitative case study of the Ulwazi Educare Centre in Cape Town examines how community-led construction using discarded tires and local materials can create climate-responsive infrastructure. It finds perceived benefits in thermal com…
Hounaïda Moalla, Chrifa Souf, Raja Zmemla
This study proposes a data-driven approach using machine learning to optimize low-carbon concrete mix design. It contributes to reducing CO2 emissions in the construction industry by improving material selection and mix efficiency.
Ling Wang, Youhua Yang, Huaiqi Zhang +4
This study demonstrates that microwave activation and curing enhance the strength of low-carbon cementitious composites incorporating coal gangue, a coal mining waste. The approach improves waste utilization and energy efficiency, contribut…
Roshan Jayathilakage, Chamila Gunasekara, David Law +1
This study investigates Australian waste clays as supplementary cementitious materials (SCMs) for low-carbon concrete. Optimal calcination (750°C, 1h) yields Grade 1 pozzolans (SAI≥0.85), while high-intensity grinding produces Grade 2 (SAI>…
Jung-Hun Kim, Gitae Moon, Doyeon Lee +1
This study investigates the promotional effect of CO2 on low-carbon syngas production from corncob pyrolysis. By introducing CO2 into the pyrolysis process, the quality of the produced syngas is enhanced, offering potential for carbon captu…
Soya Bathily
This study evaluates cemented paste backfill (CPB) using alkali-activated slag with a Na2CO3-NaOH activator as a low-carbon binder. It reveals a two-stage hydration process linking fresh properties to strength development, achieving competi…
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper focuses on R&D of low-carbon building materials for achieving net-zero buildings. Reducing embodied carbon in materials is crucial for decarbonizing the building sector, and innovations in materials and manufacturing processes ar…
Peng Dai, Ke Wang, Yanjiao Xie +4
This study classifies public service facility layouts in TOD blocks around 172 metro stations in Qingdao into four types and analyzes their association with residents' travel carbon emissions. The balanced type shows the lowest emissions, a…
Ge Rong, Zhang Mengyu, Zhiyao Xu +2
This dataset integrates CMIP6 Earth system models with SSP-RCP scenarios (SSP126-585) to provide annual NEP and CO2 emissions for China and provinces at 0.5° resolution from 1980-2060. It supports carbon neutrality research by combining his…
TUĞBA GÜZ, Gülden Poyraz
This paper empirically examines the drivers of consumption-based carbon emissions, focusing on green finance, digital transformation, and trade, using methods that account for cross-sectional dependence. It provides policy implications for …
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