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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
Sort:NewestRelevanceMost Viewed

Showing 20021–20040 of 31477 papers

Peer-reviewedJournalSustainability2026#OtherDOI

Synthesis and Characterization of a Wood Biomass Ash-Derived Multipurpose Sustainable Lightweight Geopolymer: A Pilot Study in Wastewater Treatment

I. Pundienė, J. Pranckevičienė, A. Mažeikienė +4

This pilot study synthesizes lightweight geopolymers from wood biomass ash for phosphorus removal from wastewater. Porous aggregates (PA) and air-entraining additives (AEA) produce geopolymers with densities 985-1400 kg/m3, compressive stre…

Read more →
Peer-reviewed🇪🇺 EuropeJournalBuildings2026#Energy EfficiencyDOI

Zero-Emission Potential of Single-Family Houses in Croatia

Zoran Veršić, Marin Binički, Mateja Nosil Mešić

This study evaluates life cycle GHG emissions of single-family houses in Croatia, comparing embodied carbon of reinforced concrete vs. cross-laminated timber, and determines the PV capacity needed to meet upcoming zero-emission building sta…

Read more →
Peer-reviewed🌍 GlobalJournalAmerican Journal of Civil Engineering and Constructions2026#OtherDOI

Long-Term Performance of Recycled Plastic Fiber in Reinforced Concrete Structures

M. Mohibullah, Saniure Rahman Sheam

This paper evaluates the long-term performance of recycled plastic fibers (RPF) in concrete through experiments and life-cycle assessment. Optimal dosage (about 1% of cement mass) improves flexural and compressive strength and reduces shrin…

Read more →
Peer-reviewedJournalSustainability2026#OtherDOI

From Laboratory to Building Scale: A Digital-Twin Methodology for Resilience-Oriented Assessment of RC Infrastructure Using Waste Wool-Fibre Cementitious Materials

C. Ruiz-Díaz, Paula Triviño-Tarradas, G. Guerrero-Vacas +3

This study proposes an OpenBIM-based digital-twin methodology to compare conventional RC structures with those using waste wool fibres in cementitious materials. Using an IFC model of a high-rise building, it automates extraction of structu…

Read more →
Peer-reviewedJournalInternational journal of scientific research in civil engineering2026#Energy EfficiencyDOI

Green Building Review

Kritika Thakur, Prof. Pradeep Kumar Nirmal, Divya Kotecha

This paper reviews sustainable green building materials to replace conventional ones. Using ETABS software, it compares a conventional and a green building model on energy use, carbon emissions, lifecycle cost, and heating/cooling loads, de…

Read more →
Peer-reviewedJournalSustainability2026#AI × ESGDOI

Explainable Machine Learning Framework for Strength Prediction of Sustainable Concrete Incorporating Industrial Waste SCMs with an Embodied Impact Assessment

Zeeshan Tariq, A. Bahadori‐Jahromi, Shah Room +1

This study develops multiple ensemble machine learning models with explainable AI (SHAP) to predict compressive and tensile strength of concrete incorporating fly ash and ground granulated blast furnace slag. The optimal hybrid mix (GF4) wi…

Read more →
← Prev1002 / 1574Next →

Browse by Topic

#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other