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 31021–31040 of 36583 papers
Gaoyang Wu, Zhen Yu, Feng Zhou +3
This study quantifies spatio-temporal changes in biomass carbon stocks of China's mixed forests from 1999 to 2018 using National Forest Inventory data and remote sensing. Carbon stocks increased nearly fourfold, mainly due to conversion fro…
Munehiro Terada
This paper defines the operator-algebraic modular Hamiltonian K_energy for energy systems as part of an information-theoretic unification program. It presents a Wright's Law analysis on battery costs (25.3% learning rate, projecting $82/kWh…
Peter McCallum, Susana Garcia
This webinar introduces MOFevaluator, a cloud-based platform for process-informed discovery of Metal-Organic Frameworks (MOFs), enabling efficient screening for carbon capture and other applications through an interactive web interface and …
Akhil Dilipkumar, Anshu Shukla, Dan Zhao +1
This paper presents an intensified carbon capture process using temperature swing adsorption in a parallel passage adsorber with the metal-organic framework CALF-20, demonstrating potential for improved efficiency and reduced energy consump…
Xingran Wang, Huilin Fan, Chao LIN +2
This technology uses renewable electricity to electrochemically capture CO2, achieving negative carbon emissions. It offers a promising alternative to conventional amine scrubbing with lower energy consumption. However, cost and scalability…
Weibo Zheng
This paper empirically analyzes how user engagement in a green digital platform (Ant Forest in China) promotes low-carbon behavior. It shows that virtual pro-environmental actions lead to real-world low-carbon behavior, highlighting the eff…
Pozhhan Mokhtari, Phillip Sin, Maja Wlodarczyk +2
This study proposes a low-cost, high-performance composite sorbent for carbon capture using porous geopolymer-derived zeolite 4a monoliths. The porous structure enables high CO2 adsorption efficiency and sustainable manufacturing.
Yang Mao, Sha Wen, Jianhua Huang +2
This study proposes a two-step low-temperature calcination process to convert waste optical fibers into hard carbon for sodium-ion battery anodes, contributing to waste valorization and low-cost battery material production.
A Weinberg, K Robbins, D Slade +12
This phase 3 trial demonstrates comparable safety and tolerability of a salbutamol MDI using low-GWP propellant HFA-152a versus the conventional HFA-134a, supporting over 90% carbon emission reduction in inhalers.
Payam Sadrolodabaee, Mujib Rahman, Daniel J. Nowakowski +2
Cement production is a major CO2 emitter. This study develops low-carbon cementitious grouts using straw biochar and ladle furnace slag, evaluating properties from micro to macro scale. Results show that these waste materials can reduce cem…
Wenna She, Peng Jiang, Yuefeng Qiu +7
This paper presents a system-level techno-economic and environmental assessment of low-carbon ethylene oxide production pathways. It evaluates the potential for decarbonization and associated costs.
Chun Xia-Bauer, Lukas Hermwille, Anna Leipprand
This paper compares operational low-carbon steel labels in China and Europe, finding broad technical comparability but differences in system boundaries and emissions accounting. Greater alignment could facilitate trade and investment signal…
Qianyu Ren, Yu Cai, Tao Xu +1
This study uses survey data from rural Hainan, China, to show that social capital (trust, norms, networks) positively influences low-carbon living behaviors, with policy cognition partially mediating the relationship. Heterogeneity is found…
Xiaoxiao Cao, Haoyan Lyu, Feng Ju +5
This study investigates performance optimization and carbon storage in low-carbon mine backfill using CO2 nanobubbles and high-volume fly ash. It is a promising approach for CO2 fixation in construction materials.
Beibei Wang, Ruxin Lai
Proposes a supply optimization method for free-floating bike sharing systems aimed at low-carbon operations. Evaluates CO2 reduction potential through operational adjustments.
Yuantao Hu, Ming Zhou, Zhibin Song +3
This paper proposes a planning method integrating energy storage, ammonia co-firing, coal power low-carbon transformation, and green ammonia production for large-scale renewable bases in desert-gobi-wasteland areas in China. It achieves 99.…
Menglin Yu, Tao Zhou, Jialin Yi +4
This paper proposes an integrated predict-optimize-evaluate framework to optimize land use towards carbon neutrality. It compares multiple scenarios to derive optimal land use plans, aiming to maximize carbon sequestration through land use …
Hoang Van Thang, LUONG THI NHU QUYNH
This study develops a Carbon-Adjusted Housing Purchase Value Index (CAHPVI) to evaluate green premiums against long-term energy savings and carbon benefits. Analyzing 30 apartment projects (15 green, 15 conventional), green projects scored …
Yang Guozhong, W W Jiang
This study analyzes how China's carbon trading policies influence corporate green dual innovation (green technology and management innovation), and examines the moderating role of environmental judicial specialization. It highlights the imp…
Wenya Zhang
This dataset package contains firm-level data and R scripts to replicate the study on heterogeneous effects of China's carbon emissions trading scheme on environmental-economic performance of high-carbon listed firms. It enables verificatio…
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