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 1–3 of 3 papers
Daniel A. Zabaleta, C. Hayes, Jeffrey Grajewski
CanReseal by Canovation is the first all-metal resealable can made from a single aluminum alloy, eliminating the need for separate pull-tab ends. This innovation enables cans to be produced from 100% recycled content, boosting recycling eff…
Liurui Deng, Lingling Jiang, S. Gan
This study analyzes the impact of ESCO financing modes (bank, green bond, internal factoring) on supply chain emission reduction efficiency and economic benefits under carbon quota trading and EPC. Using a multi-agent Stackelberg game model…
Rashanjot Kaur, Triparna Kundu, Bhanu Sharma +2
This paper examines operational resilience of global supply chains under carbon constraints. It develops a multi-agent framework integrating supply chain decisions, national energy-transition profiles, and carbon-aware AI computation. The C…
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