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 22901–22920 of 36021 papers

Peer-reviewedJournalFrontiers in Environmental Science and Sustainability2026#AI × ESGDOI

Lifecycle Assessment of Sustainable Construction Materials in Green Buildings: A Multi-Objective Optimization Model

Arthur J. Sterling, Marcus P. Thorne, Julian T. Harrow

This paper integrates Lifecycle Assessment with a Multi-Objective Optimization model using a genetic algorithm to select sustainable construction materials. Applied to a mid-rise commercial building, it simultaneously minimizes lifecycle co…

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Peer-reviewedJournalThe International Journal of Life Cycle Assessment2026#Carbon AccountingDOI

End-of-life and beyond building life: carbon benefits of a novel Mass timber wood floor system, evaluating end-of-life strategies, recovery rates, and circular design implications

Muzan Williams Ijeoma, Sovanroth Ou, Amin Nabati +7

This paper evaluates the life-cycle carbon benefits of a novel mass timber floor system, focusing on end-of-life strategies such as deconstruction, recovery, and cascading use. It quantifies carbon reduction compared to conventional concret…

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Peer-reviewedJournalReviews on Advanced Materials Science2026#OtherDOI

Structural lightweight concrete for seismic-resistant and sustainable construction: a state-of-the-art review of material innovations and performance evolution

Z. Akbulut, I. Merta, S. Guler +1

This review examines structural lightweight concrete (SLWC) innovations, showing that combining lightweight aggregates with SCMs (MK, GGBFS, LC3) reduces CO2 by 15-40% and seismic base shear by 20-30% compared to conventional concrete.

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Peer-reviewedJournalEnvironmental Progress & Sustainable Energy2026#OtherDOI

Sustainability evaluation of concrete and mortar with plastic aggregates and supplementary cementitious materials: An integrated LCA–LCCA framework

D. Sau, T. Hazra, Amit Shiuly +1

This study evaluates the environmental and economic performance of recycled plastic waste aggregate (RPWA) as partial replacement for natural aggregates in concrete using LCA (with and without mass allocation) and LCCA. Results show that ma…

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Peer-reviewedJournalInternational Journal for Research in Applied Science and Engineering Technology2026#Energy EfficiencyDOI

Comparative Cost Analysis of Conventional Building Materials and Smart Low-Cost Alternatives for G+1 Residential Building

Bhushan S. Madavi

This study compares cost estimation between conventional and smart construction materials (AAC blocks, EPS panels, gypsum plaster) for a G+1 residential building in India. Results show smart materials reduce total construction cost by 18.44…

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Peer-reviewed🇪🇺 EuropeJournalThe Holistic Approach to Environment2026#OtherDOI

Converting beechwood biomass into building materials

Miljan Vlahović, Anja Terzić, Željko Arsić +1

This study investigates the use of beechwood biochar as a partial replacement for sand in mortar. Results show that up to 10 wt.% biochar yields acceptable mechanical performance for non-structural applications, offering lower density and v…

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Peer-reviewedJournalENGINEERING Structure and Civil Engineering2026#OtherDOI

Low-carbon self-compacting glass fiber-reinforced concrete using calcium sulpho-aluminate cement and recycled concrete fine aggregate

Radhika Sridhar, Yanfei Che, Patraphorn Phornthepkasemsant +3

This study develops a low-carbon self-compacting glass fiber-reinforced concrete using calcium sulpho-aluminate cement and recycled concrete fine aggregate, aiming to reduce CO2 emissions in construction. It evaluates material properties an…

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Peer-reviewed🌍 GlobalJournalUludağ University Journal of The Faculty of Engineering2026#AI × ESGDOI

INTEGRATING ARTIFICIAL INTELLIGENCE INTO LIFE CYCLE ASSESSMENT IN THE BUILDING INDUSTRY: A BIBLIOMETRIC AND CRITICAL REVIEW

Y. Yardımcı, Yasemin Erbil

This review analyzes AI-integrated LCA research in construction. ML and ANN are used to predict energy and carbon, but integration is fragmented due to unstructured data and lack of standards. Focus is on operational energy, neglecting embo…

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