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 6581–6583 of 6583 papers
Isabela Schmidt Tagomori, Fabio A. Diuana, Luiz Bernardo Baptista +21
Using a multi-model analysis, this paper shows that current net-zero pledges bring the world closer to a well-below 2°C pathway, but an emission gap remains. Increasing ambition and international cooperation are crucial, while reaching the …
Lalita Rana, Manish Kumar, Sumit Sow +7
This chapter explores how nanomaterials (carbon nanotubes, metal nanoparticles, mesoporous structures) enhance biomass conversion to bioenergy by improving kinetics, selectivity, and energy efficiency in thermochemical and biochemical proce…
Chenxi Zhang, Yi Yang, Jing Qiu +2
This paper proposes a two-stage decarbonization framework for power systems that integrates supply-side retrofitting of coal plants with CCUS and power-to-gas, and demand-side carbon response using an enhanced emission flow model for indust…
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