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 1–1 of 1 papers
Sanghyuk Koh, Seokju Kim, Boreum Lee
This study quantifies scope 1-3 emissions for major water electrolysis technologies, revealing that upstream materials and electricity carbon intensity are the dominant factors. Achieving a net-zero grid can reduce lifecycle emissions by 79…
Browse by Topic