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 17321–17340 of 31467 papers

Peer-reviewedJournalInternational Journal of Frontiers in Engineering and Technology Research2026#OtherDOI

Organisational forgetting in historic public buildings: Climate Adaptation and Industry 4.0 Challenges in Nigeria’s PWD Legacy Buildings (1947–1966)

Ramota Obagah-Stephen, Inemi Erete Stephen

This paper investigates the loss of documentation for six historic legislative buildings in Nigeria, identifying four mechanisms of organizational forgetting. It argues that documentation governance is prerequisite for climate-adaptive cons…

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Peer-reviewed🇪🇺 EuropeJournalJournal of Composites Science2026#Carbon AccountingDOI

Life Cycle Assessment of 3D Concrete Printed Buildings: A Review of Methodologies, Standards and EPBD Compliance

Daniel Harris, Suleman Ayub Khan, Swathi Balasubramanian +3

This review evaluates Life Cycle Assessment (LCA) methodologies for 3D concrete printed (3DCP) buildings and their alignment with the revised Energy Performance of Buildings Directive (EPBD), which requires whole-life Global Warming Potenti…

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Peer-reviewedJournalScientific Reports2026#AI × ESGDOI

Mechanical assessment with data-driven hybrid machine learning-based optimization of compressive strength of sustainable biochar-concrete composite.

M. Uddin, Md. Samsuzzaman Sobuz, Mohamed Ghalla +5

This study developed a hybrid machine learning model (XGB-HistGB) to predict compressive strength, cost, and CO2 emissions of biochar-incorporated concrete. Using a dataset of nine input parameters, the model achieved high accuracy (R2=0.95…

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Peer-reviewedJournalDMPedia Lecture Notes in Multidisciplinary Research2026#OtherDOI

Using Supplementary Cementitious Materials for Sustainable Concrete

Gunturu Sai Pragna, L. Prasanna, Nayab Mahaboob Subhani

This paper investigates the use of supplementary cementitious materials (SCMs) such as silica fume, metakaolin, and fly ash as partial replacements for cement in concrete to reduce environmental impact and improve performance. The optimized…

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Peer-reviewed🌍 GlobalJournalInternational Journal of Innovative Science and Research Technology2026#Energy EfficiencyDOI

The Role of Sustainable Architecture in Mitigating Climate Change and Global Warming

Umunna, Chetachi C., Okoroafor, Humphery K.

This paper critically examines architecture's dual role in climate change—as a major emitter and a mitigation tool. It reviews global case studies, advocates for a shift from extractive to regenerative practices, and proposes a framework in…

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Peer-reviewed🌍 GlobalJournalJournal of the Association of Professional Women Builders of Nigeria2026#OtherDOI

Promoting Regenerative Construction in the Building Industry

A. Windapo, Darmarajan Chinasamy, K. Alade

This paper reviews 18 peer-reviewed publications on regenerative construction (2020-2025), identifies benefits (whole-life asset value, cost reduction, circular economy, ecological restoration, embodied carbon reduction) and limitations (hi…

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Peer-reviewedJournalEnvironmental Research: Infrastructure and Sustainability2026#Energy TransitionDOI

Assessing strategies to decarbonise embodied carbon impacts of residential buildings in Indian cities: case of Ahmedabad

Chaitali Trivedi, M. Pathak, S. Dhar

This study evaluates decarbonization strategies for embodied carbon from cement and steel in residential buildings in Ahmedabad, India, using the IPCC AR6 framework and AIM/End-use model. Results show that energy efficiency and clean techno…

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Peer-reviewedJournalFundamental Scientific Reports in Multidisciplinary Areas2026#AI × ESGDOI

GBMP-LCA: A Gradient Boosting–Based Framework for Performance Prediction and Life-Cycle Optimization of Green Building Materials

Jiaran Liu, Yuheng Huang

This study proposes GBMP-LCA, a gradient boosting–based framework for performance prediction and life-cycle optimization of green building materials. It applies LightGBM to multi-source features including material composition, durability, a…

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Peer-reviewed🌍 GlobalJournalJournal of Environmental Management2026#AI × ESGDOI

Decoupling clinker technology from cement product emissions: A macroeconomic ML-LCA framework for global embodied carbon policy screening.

Dilba Rayaru Kandiyil, M. Sadique, Denise Lee +2

This study proposes a hybrid ML-LCA framework to estimate cement embodied carbon using only publicly available macroeconomic data, predicting clinker-to-cement ratio from GDP per capita and other indicators. The Gradient Boosting model is i…

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International Convention on Information and Communication Technology, Electronics and Microelectronics2026#HydrogenDOI

Smart Port Ecosystems and the Hydrogen Economy: A Case Study of Maritime Decarbonization in Split

Matej Plenča, S. Aksentijević, Alen Jugović +1

This paper assesses the feasibility of integrating hydrogen refueling infrastructure into passenger ports, using the Port of Split as a case study. It models a hydrogen station for the Split-Supetar ferry route that could eliminate over 250…

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ConferenceInternational Conference on Computational Intelligence and Communication Networks2026#Energy EfficiencyDOI

Blockchain-Enabled Secure and Interoperable Digital Twin Framework for Sustainable Industry 5.0 Smart Cities

P. Janaki, Ramal E. Anbalagan

This paper proposes a blockchain-enabled secure and interoperable digital twin framework for Industry 5.0 smart cities, integrating hybrid deep learning (GNN, LSTM, CNN) for real-time monitoring and optimization. Experimental results show 9…

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Peer-reviewedJournalInternational journal of computer information systems and industrial management applications2026#OtherDOI

Blockchain-Enabled Spatial Mining Systems for Sustainable Resource Utilisation

Palaniappan Sambandam, Anand R, S Bairavel

This paper proposes blockchain-enabled spatial mining systems integrating GIS, IoT, and remote sensing to address inefficiencies and environmental damage in conventional mining. It improves traceability, reduces fraud, enables environmental…

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