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 641–660 of 33263 papers
甘四洋, Yujie Huang, Ningyun Hong +8
A bottom-up strategy using carbon dots as building blocks yields defect-rich, closed-pore hard carbons via misaligned stacking for sodium-ion battery anodes. The optimized anode delivers 365.0 mAh g−1 with 85.06% initial coulombic efficienc…
Nils Eingrüber, Daniela Zimmermann, Wolfgang Korres +2
A study using 3D microclimate modelling to evaluate technical and nature-based solutions for urban heat stress mitigation across scenarios. It informs urban adaptation planning and design.
Gnaoui Imane, M. Nusrate Aziz
This event study examines the stock market reaction of eight Casablanca-listed firms to Morocco's voluntary carbon market launch announcement (Sept 24, 2024). Neither the event-day AAR (-0.238%) nor the [-4;+5] CAR (1.00%) was statistically…
Zhaoming Li, Mingtao Yang, Zhikai Wang +3
Proposes a Mg-modified, lignin-derived hierarchical porous carbon with induced hydroxyl groups for enhanced CO2 capture. Demonstrates a synergistic pore–hydroxyl–MgO mechanism for adsorption. Offers a biomass-based solid sorbent route relev…
Lei Wang, Zongyue Tang, Ruxing Gao +6
This study proposes an integrated system combining coal-fired power plants with carbon capture and power-to-liquid/gas (PTL/PTG) technologies to convert captured CO2 into syncrude and synthetic natural gas. A two-level scheduling model opti…
Md Razaul Karim, Hong Je Cho
A materials-engineering study on synthesizing nanoporous metal oxide-carbon hybrid adsorbents via biomass pyrolysis for CO2 capture. It targets CCUS adsorbent design, but with no abstract, performance, cost, and deployment details remain un…
Shen Guo
This thesis develops a dynamic model of a supercritical coal power plant integrated with post-combustion amine-based carbon capture, analyzing capture plant dynamics, flue gas estimation, and power plant response to steam extraction. It int…
Yue Wang
This PhD study models and simulates an IGCC power plant by building and connecting sub-modules (gasifier, WGS reactor, acid gas removal, gas turbine, HRSG). It integrates an activated carbon-based PSA CO2 capture process (9-step, 8-bed cycl…
Badreddine Ayadi, Pooya Ghodratallah, Mustafa Abdullah +7
Proposes a low-carbon polygeneration system coupling solar-assisted biomass gasification with a phosphoric acid fuel cell (PAFC). Integrates cascaded multi-stage Kalina cycle exergy recovery, Pareto-frontier multi-objective optimization, an…
Baoquan Liu, Xianwei Liu, Shao-Qian Zhang +2
This paper proposes a low-carbon optimal scheduling model for a park-level virtual power plant integrating the full cement production process with carbon capture, power-to-gas, and CHP/gas boiler units. A cross-domain multi-time-shifting fl…
Mehrdad Aleagha
This LCA evaluates CCS integration in biogas-fueled combined cycle power plants for net-negative emissions. Amine-based CCS increases GWP by 77% due to parasitic loads, while membrane-based CCS achieves -2.60×10⁻³ kg CO₂-eq./kWh. Net-negati…
Marina Topouzi, Hannah Budnitz, Emilie Vrain +3
Tracking 3,800 GB households across three waves (2021-2025), this study shows low-carbon technology adoption (heat pumps, solar PV, batteries, EVs) is staged and path-dependent rather than isolated. Adoption concentrates among higher-income…
Yael Parag, aviva shemesh
A mixed-methods study (500-resident survey, 3 focus groups) in dense Israeli housing examines building-based shared cars as a pathway to low-carbon mobility. Many multi-car households would replace a second car, but adoption hinges on micro…
Gonçalo Pacheco, Miguel A.A. Mendes, Pedro Jorge Coelho
Experimental study of a two-stage RQL combustor burning NH3/H2 blends at 8.0–8.5 kW. Secondary hydrogen injection upstream of the secondary air inlet improved ammonia burnout, reducing slip to 10–20 ppm within a ~100–300 W window, but NOx r…
Utkarsh Patel, Chen Chris Gong, Clara Bachorz +9
Using the REMIND integrated assessment model calibrated to a high-growth trajectory (6.2% annual GDP growth 2025-2050), this study presents a net-zero pathway (NZ2070) for India. Emissions peak around 2035 at 4.2 Gt CO2/yr before declining,…
Xuefei Wang, Yongliang Luo, Buncha Wattana +2
An activity-based transport-energy account of 30,000 participants in the 2024 Wuhan Marathon estimates 9,097 GJ final energy and 965.7 t CO2e (32.2 kg per participant), with 10,000 Monte Carlo runs and Sobol decomposition showing travel dis…
Li Lingzhi, Xudong Zhang, Xue Chen +3
Proposes a process–component framework for analyzing carbon emissions and optimizing timber buildings toward sustainability. It links component-level and process-level carbon accounting to guide low-carbon design and construction decisions.…
Yan Peng, Rongguang Zhang
Using dual machine learning (DML), this study estimates carbon lock-in across 262 Chinese cities and tests the combined effect of low-carbon city pilot and information consumption pilot policies. The dual policy significantly suppresses car…
Xinyang Dong, Yuan Liu, Junming Zhu +1
An empirical study examining how labor agglomeration affects low-carbon transition, using evidence from China's city cluster development strategies. It appears to test whether urban agglomeration economies and decarbonization can be reconci…
Xiaoning Zhu, Siyu Wu, Rui Yan +4
This study assesses how the two major carbon-pricing instruments—cap-and-trade and carbon tax—affect dual-channel closed-loop supply chain networks. Authored at the University of Science and Technology Beijing, it appears to model how carbo…
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