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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Topic: #Energy Transition (clear)

Showing 1021–1040 of 5986 papers

Peer-reviewedJournalNature Sustainability2023#Energy TransitionDOI

Pathways to net-zero emissions from aviation

Bergero C.

A study examining pathways to net-zero emissions from aviation, likely covering levers such as sustainable aviation fuels, demand management, and technology. Aviation decarbonization is a key sectoral challenge linking climate policy and in…

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Peer-reviewed🌍 GlobalJournalNature Climate Change2022#Energy TransitionDOI

The meaning of net zero and how to get it right

Fankhauser S.

This paper examines the meaning of 'net zero,' clarifying definitional ambiguities and arguing for scientifically and policy-sound target-setting. It likely critiques misuses such as over-reliance on offsets in corporate and governmental ne…

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Peer-reviewed🇨🇳 ChinaJournalSystems2026#Energy TransitionDOI

Intelligent Governance of Complex Social Systems: A Hybrid AI–System Dynamics Model for the Simulation and Projection of Sustainable Energy Transition

Jun Wu, Bin Yang, Shengli Dai

This paper builds a bidirectional hybrid AI–System Dynamics framework, using China's carbon-neutral energy transition as a proof-of-concept. An axiomatic SD system constrains AI learning while AI corrections reshape the SD structure iterati…

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Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI

Jharkhand: Powering India, Lagging on Clean Energy

Anant Kumar

This opinion piece examines Jharkhand's energy landscape through SDG 7, highlighting its role as a major coal producer alongside limited renewable deployment. It explores the gap between solar, wind and hydropower potential and actual uptak…

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🌍 GlobalJournalAdvances in transdisciplinary engineering2026#Energy TransitionDOI

Enablers and Barriers in Transitioning to Induction Stoves: A Comparative Study of Four Developing Nations

Retno Wulan Damayanti, Haryono Setiadi, Dania Latifa Rizky +1

A comparative study of LPG-to-induction stove conversion programs in Ecuador, India, Ghana, and Indonesia. It finds government regulation, subsidies, education, and technical assistance are decisive enablers, while weak electrical infrastru…

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🇪🇺 EuropeJournal2026#Energy TransitionDOI

Comment on ls-2026-5

Ana Buchadas, André Alves, Miguel Macias Sequeira +3

Classifying 760 Portuguese renewable projects via cluster analysis, the study identifies 18 energy-land system types. Wind in the North favors co-location and co-governance; solar in the South emphasizes output and externality mitigation. L…

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🇺🇸 USADatasetZenodo2026#Energy TransitionDOI

PHASED study archive | U.S. eGrid 2022 | eGRID2019_Data.xlsx

Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia +2

This record archives the U.S. EPA eGRID 2019 data file used in the PHASED study on correlated uncertainty propagation for electrical system decarbonization decision support. It preserves the original external data for reproducibility; no ne…

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🇺🇸 USADatasetZenodo2026#Energy TransitionDOI

PHASED study archive | U.S. eGrid 2022 | eGRID2022_Data.xlsx

Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia +2

This record archives the U.S. EPA eGRID 2022 dataset used in the PHASED study on correlated uncertainty propagation for electrical system decarbonization decision support. It is published for reproducibility; original data credits and reuse…

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Peer-reviewedJournalAdvances in Applied Energy2025#Energy TransitionDOI

Spatio-temporal load shifting for truly clean computing

Riepin I.

This work appears to examine shifting computing workloads across time and space so that electricity use aligns with genuinely surplus renewable generation, avoiding additional fossil-based power. Without an abstract, the optimization method…

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