This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1–5 of 5 papers
将来の次世代自動車使用に関する環境性・経済性評価モデルの構築
(著者不明)
This paper constructs an integrated evaluation model for the environmental impact and economic performance of future next-generation vehicle use (e.g., EVs, FCVs). It provides a quantitative framework for automakers and policymakers to asse…
電気自動車充電の脱炭素化とPlace of Use に関する基礎検討
(著者不明)
This paper presents a basic study on decarbonizing electric vehicle (EV) charging, focusing on the impact of charging location (Place of Use) on CO2 emissions. It analyzes the potential for emission reduction by considering factors such as …
リチウムイオン電池の資源性と将来展望
(著者不明)
This paper examines the resource properties and future supply outlook of lithium-ion batteries. It analyzes supply-demand forecasts for critical minerals like lithium, essential for electric vehicles and renewable energy storage. The study …
Toyoshima T, Takaguchi H
This study simulates the potential of EV-based demand response in the Tokyo Station Front District, projecting building stock and electricity demand to 2050. Results show that bidirectional V2B/V2G charging can reduce annual energy costs by…
Kaoru Natsuda, Martin Schröder
This study examines Japan's carbon-neutral automotive policy, detailing the Multi-Pathway Strategy (technology-neutral promotion of various powertrains) and green supply chain networks. It critiques the Tank-to-Wheel method, advocating for …
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