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 1–20 of 274 papers
Luca Mesina, Claudia Paoletti, Annalisa Aurora +5
Adding 10 wt% zeolite-templated carbon (ZTC) to hazelnut-derived hard carbon anodes raised apparent Na+ diffusivity ~4.5x and boosted 50-cycle plateau capacity from ~30 to ~100 mAh/g. Initial Coulombic efficiency drops, but rate capability …
Ziran Kong, Fan Wu, Jian Zhuo
A geocomputational framework (trajectory-based emission accounting to counterfactual optimisation) analyses taxi commuting carbon across 1,494 grid cells and 29 built-environment indicators in central Shanghai. Higher density raises total e…
Bartosz ŁATA, Jacek Andrzej Czarnigowski, Wiktor ISKRA +2
Static FEM simulations compared a CFRP versus flax-fibre biocomposite monocoque for a Shell Eco-marathon prototype vehicle. A 1:1 material substitution raised maximum deformation ~2.6-fold, failing stiffness criteria; adding flax layers (30…
Fujia Wang, Yueying Zhao, Zhiyu Yu +2
This paper proposes a cloud-fuzzy multi-objective optimization framework for siting bidirectional-storage electric bus charging stations and renewable resources in distribution networks, integrating carbon trading and technical-operational …
Kar P.
A cross-regional assessment of how bidirectional charging (V2G) for electric school buses affects environmental outcomes. It examines whether using bus batteries as grid storage can support renewable integration and emissions cuts, and how …
Zifeng Guan
Integrating OpenStreetMap road networks, HBEFA emission parameters, and yearbook travel data into a SUMO simulation, this study builds a framework for evaluating carbon emissions from urban multi-modal travel. Comparing policy scenarios—bus…
Bochen Xia, Hao Chen, Zixin Wang +1
Using 29 months of California commercial robotaxi data, this study decomposes operational CO2e per passenger-mile into deadheading and passenger-stage occupancy. Deadheading fell from 50.73% to 45.06% in 2024-2025, but occupancy also droppe…
Iankov I.
A study forecasting future greenhouse gas emissions performance of Australia's light vehicle fleet. It models emission trajectories under differing vehicle-mix and technology-adoption scenarios, informing transport-sector decarbonization pa…
G. Anandarajah, O. Dessens, M. Loganathan
A study assessing the role of electric vehicle deployment in India's net-zero transition. Without an abstract, methods and findings remain unclear, but it addresses EV adoption and decarbonization pathways in an emerging economy, offering p…
Sohee Kim, Sangwon Choi, Brian H. S. Kim
Using 2019 cross-sectional data for 225 Si-Gun-Gu districts in South Korea, this study applies the STIRPAT framework and spatial instrumental-variable models to examine how urbanization affects transport-sector carbon emissions. Spatial aut…
Thupsee, Mohammud
Using Mauritius as a case, this paper compares total cost of ownership (TCO) and exergy efficiency between ICE vehicles and BEVs for 2026–2031. BEVs cut kinetic energy expenditure per 100 km by 79.4%, reaching near-100% savings with solar P…
Hirz M.
A comprehensive evaluation of greenhouse gas emissions from electric cars, likely covering lifecycle emissions from manufacturing through use, including grid mix effects. It speaks to the core debate on how power sources and battery product…
Woody M.
This study examines how charging strategies for electrified delivery vehicles affect life-cycle greenhouse gas emissions, accounting for the time-varying carbon intensity of the electricity grid. It shows that when and how fleets charge mat…
L. Bartolucci, E. Cennamo, S. Cordiner +5
This paper presents a fleet-level optimization tool that jointly determines BEV configuration, fleet size, charging infrastructure, and charging schedules for logistics operators. Comparing cost-minimizing and CO2-minimizing scenarios, the …
Wang Zhiqiang
This paper proposes an optimal scheduling model for a virtual power plant (VPP) integrating V2G charging robots and carbon trading under carbon peaking/neutrality goals. It jointly optimizes EV charging/discharging costs, carbon trading cos…
Engr. Henry Azuka Ifeachor
This paper examines clean mobility in Nigeria—EVs, CNG, public transit, and non-motorized transport—using policy analysis, stakeholder interviews, and 2020–2025 secondary data. Under 0.5% of registered vehicles are electric and charging inf…
Joel Franklin, Shannon Finnan
This study uses a January 2025 survey to quantify the energy and carbon savings from Ireland's fixed €3,500 BEV purchase grant relative to a reference vehicle. It accounts for grid carbon intensity and behavioural changes in annual mileage,…
Maulsri Jha
This article proposes a 'Bus Climate Infrastructure' framework and compares electric-bus transitions in India, Europe, and the US. It finds success depends less on fleet targets than on institutional capacity to coordinate vehicles, depots,…
Dabcevic, Zvonimir, Grden, Luka, Deur, Josko
This paper presents a coordinated design and techno-economic framework for an airport electromobility hub integrating electric bus and customer EV charging. An LP-based charging approach cuts weekly electricity costs by up to 8% and raises …
Ruchun Li, Yao Wang, Asaf Tzachor +1
A spatiotemporal study of critical-material demand and embodied carbon emissions from EV batteries across Chinese provinces. It maps regional differences in demand and emissions, linking battery supply-chain decarbonization with resource co…
Browse by Topic