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 781–800 of 30942 papers
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…
Minglei Sun, Hong Luo, Xianzhe Jin +3
A materials study on using low-cost carbon steel bipolar plates for alkaline water electrolysis, protected by electrodeposited nickel coatings. It characterizes microstructure and corrosion resistance, with DFT calculations supporting the m…
Li-Na Zhang, Rui-Xuan Zhu, Run-Sheng Lin +1
High-volume slag–fly ash ternary concrete cuts carbon but complicates strength prediction. This study builds a unified hydration model (capillary water and Ca(OH)2 coupling) and calibrates an effective-reaction strength model on 1030 data p…
Rida Waheed
This study examines how Saudi Arabia's Green Credit Policy (GCP) affects listed firms' CO2 emissions from 2000 to 2024 using a two-way fixed-effects difference-in-differences design. GCP significantly reduces CO2, partially mediated by indu…
Ahmed Fageeri, Ousmane Hisseine
This review couples a literature survey with data-driven analysis of 200+ UHPC mixtures to link mix design, mechanical/durability performance, and embodied CO2. Random Forest predicts compressive strength accurately, and cement content abov…
Jiarui Cui
This review examines the technical and economic barriers of post-combustion amine-based carbon capture, the most mature CCS approach. It finds the capture stage accounts for roughly 60-80% of total lifecycle cost, driven largely by solvent …
Botao Li, Qi Sun, Mengyang Shi +3
This study examines the strength formation mechanism and environmental impact of low-carbon sustainable mortar made from multi-source solid waste. It aims to cut cement-related CO2 emissions and advance resource circularity in construction …
(著者不明)
A study examining strategies to promote adoption of corrosion-resistant concrete materials through a green, low-carbon lens. It links material durability to resource and carbon savings and discusses barriers and promotion measures. Without …
Nauman Ijaz, Nianqing Zhou, Zain Ijaz +4
This review argues that embodied-CO2 savings in clinker-reduced concrete must be assessed together with cover-zone durability and service life. It treats carbonation and shrinkage/restrained cracking as coupled controls, showing how curing,…
Hanjin Xie, Ruiting Luo, Xi Tan +1
Using 2015 CHFS data, this study finds traditional culture causally lowers household energy intensity, with treated households showing 29.7% lower per capita carbon emissions in log points. Five behavioral channels mediate the effect: green…
Jiageng Li, V. Sivasankar, Kiyoshi Omine +3
This paper examines biogenic-derived calcium oxide (CaO) as a low-carbon stabilizer for soft soil improvement, positioning it as a sustainable alternative to conventional cement-based binders. It contributes to the search for lower-carbon c…
Yijie Song, Boqiang Lin
An empirical study using industry green total factor productivity (GTFP) to assess how China's coal-fired power low-carbon transition affects supply security and industrial efficiency. It quantifies the trade-off between transition policy a…
Zekun Li, Zhiqiang Yu, Lin Ma +7
This review synthesizes deep learning applications for energy optimization, emissions control, and intelligent process management across the metallurgical chain from ore pretreatment to casting. It finds promising potential for efficiency g…
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