GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 29681–29700 of 36583 papers

Peer-reviewedJournalResults in Engineering2026#Scope 1/2DOI

Engineering analysis of greenhouse gas emissions in construction-related heavy lifting systems: Mechanical demand, energy conversion, and operational optimization

Achraf Bakkali Yedri, Omar Bougrine, Mohammed Ammari +1

This paper presents an engineering analysis of greenhouse gas emissions from construction heavy lifting systems. It examines mechanical demand, energy conversion, and operational optimization to reduce emissions.

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Peer-reviewed🌍 GlobalJournalEnvironmental Modeling & Assessment2026#CCUSDOI

Routing India towards Net Zero: Optimal Planning of the CCS Infrastructure

Adrien Nicolle, Stéphanie Monjon, Olivier Massol

This paper proposes a cost-minimizing MILP model for optimal CCS infrastructure deployment in India. Focusing on coal-fired power plants, it incorporates pipeline routing and storage investments. Results show that the optimal CO2 pipeline n…

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Peer-reviewed🌍 GlobalJournalBusiness Strategy and the Environment2026#ESGDOI

Strategic Pathways to Decarbonization Through ESG Innovation in High‐Pollution Industries: Synergizing Digital Transformation and Sustainable Governance for Net‐Zero Goals

Naiping Zhu, Ke Wang, Abednego Osei +1

This study examines how ESG strategies influence decarbonization in high-emission industries, focusing on the mediating role of digital transformation and the moderating role of sustainable governance. Using panel data of 574 manufacturing …

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Peer-reviewed🇺🇸 USAJournalACS ES&T Air2026#Energy TransitionDOI

A Census Tract-Level Modeling Framework for the Estimation of Health Co-Benefits of Decarbonization in New York State

Saravanan Arunachalam, Catherine A. Seppanen, Brian F. Naess +7

This study proposes a census tract-level modeling framework to estimate health co-benefits of decarbonization in New York State. The spatially detailed analysis enables assessment of local health impacts, and the framework is transferable t…

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