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 20841–20860 of 36021 papers
Tobias Angel
This code calculates countries' over- and under-contributions to climate change (carbon debts and credits) under different scenarios. It quantifies historical emission responsibilities and supports equitable climate finance allocation.
Yashika Raheja, Chandan Deosthali, Tasmia Falaque +2
This review critically evaluates biochar-integrated nature-based solutions for pesticide-contaminated urban water systems, covering adsorption, catalytic transformation, and biodegradation mechanisms. It compares material-level mechanisms, …
Euthalia Hanggari Sittadewi, Titin Handayani, Iwan Gunawan Tejakusuma +14
This study examines how growth medium composition and NPK fertilization affect vetiver's root mechanical properties and biomass for slope stabilization. Results indicate a trade-off between biomass production and root tensile strength. Opti…
Norman Kretzer
This project developed a prototype indirectly electrically heated shaft kiln for in-situ CO2 capture during lime burning. It successfully produced DIN-compliant quicklime and a high-purity CO2 stream (>95 vol%) for subsequent methanation, b…
Milad Nouri, Miroslava Kavgic, Ahmad Jrade +1
This study presents a thermodynamic and economic assessment of an integrated carbon capture and liquefaction system for medium-scale CHP plants in cold climates. It aims to reduce CO2 emissions while maintaining energy efficiency, offering …
Ricardo N. Dias, F.N. Serralha, Carla I.C. Pinheiro
This paper presents a multi-objective optimization framework integrating industrial symbiosis (IS) and carbon capture utilization (CCU) for net-zero industrial parks. Applied to Portugal's largest industrial park, the model identified 26 sy…
Babula Ambati
This study analyzes the potential of CCUS to support the oil and gas industry's net-zero transition. It highlights strengths such as subsurface expertise and existing infrastructure, while identifying barriers like high investment costs and…
Spas Kerimov, Victoria Atanassova, Georgi Yankov +5
This study screens biopolymer composite membranes for carbonic anhydrase (CA) immobilization in enzymatic direct air capture (DAC). Chitosan, shellac, agarose, and cellulose acetate-based films were prepared and evaluated. Chitosan/shellac …
Dimitrios Foteinakis
This paper conducts an investment analysis of carbon capture and storage (CCS) systems in the shipping industry, evaluating economic feasibility, costs, and benefits. It provides a framework for investment decisions considering regulatory d…
Liang Mu, Tao Xie, Xiaohai Zhu +3
This study proposes a novel method for highly selective separation of methane from low-concentration coalbed gas using activated carbon and active ice. The technology enables cost-effective methane capture from coal mines, reducing greenhou…
Bangtong Huang, Dongfang Niu, Qi Xu +1
This paper proposes a deep learning approach to optimize resource and capacity management in low-carbon additive manufacturing (3D printing). By leveraging AI, it aims to reduce energy and material usage, lowering carbon footprint. It demon…
Xinyu Wang, Xuhao Hu, Xiaobo Tao
This study examines whether the low-altitude economy (LAE) promotes synergistic development of carbon reduction, pollution mitigation, green transition, and economic growth (CPGE) in China. Using panel data from 30 provinces (2012-2023), it…
Mahapara Abbass, Sana Abass Wani, Arti Chouksey +1
This study develops lightweight panels reinforced with biochar and simulates their passive thermal regulation performance in smart buildings. It demonstrates the potential of low-carbon building materials to improve energy efficiency.
Ziyi Wen, Xian Zhang, Gaoqi Liang +4
This paper proposes a three-stage low-carbon planning framework for an integrated electricity-hydrogen-transportation system. It uses a cross-sectoral carbon emission flow model to optimize the entire system and evaluate emission reduction …
Junfang Guo, J J Lu, Jie Yang +2
Using panel data of Chinese A-share listed firms from 2009 to 2024, this study finds that ESG performance significantly promotes low-carbon technology innovation, with a stronger effect on substantive innovation than strategic innovation. T…
Dong Zhang, Hao Zhou
This study elucidates the CO2 mineralization curing process and mechanism of a porous low-carbon cementitious material made from steel slag and cement, offering potential for CCUS applications in construction.
Yuping Wu, Yipeng Zhao, Bohui Du +3
This study evaluates the effects of green and low-carbon energy transition using a multidimensional index system and analyzes influencing factors. It provides quantitative assessment and policy implications for energy transition.
Yiming Peng, Minfei Liang, Cise Unluer
This review synthesizes machine learning (ML) applications for low-carbon concrete, covering cement production, mix design, supplementary materials, and recycled aggregate. ML enhances process control and multi-objective optimization but fa…
Yi Ding, Jian Yin
This paper presents a data-driven approach to synergistically optimize urban carbon emissions and energy dynamics, proposing strategies for regional low-carbon transition. It likely applies optimization algorithms to urban energy systems to…
Park Yong Soon, Ryu Byung Taek
This paper reviews microalgae-based carbon capture and utilization (CCU) technology and proposes a reverse-flow photobioreactor (PBR) design. Closed PBR outperforms open ponds in photosynthetic and CO2 fixation efficiency. The reverse-flow …
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