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.
Peer-reviewedJournalScientific Reports2026#AI × ESGDOI
Lifecycle and circular economy assessment of bio based retrofitting strategies for heritage buildings using case studies from Iran, Oman and Saudi Arabia
By Marjan Ilbeigi, Mohamed Alnejem, Mozhgan Karimi +4
This study proposes an integrated framework combining Lifecycle Assessment (LCA), Circular Economy (CE) evaluation, Multi-Criteria Decision Analysis (MCDA), and Artificial Neural Network (ANN) modeling to assess bio-based retrofitting strat…
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…
Peer-reviewedJournalThe Arabian journal for science and engineering2026#AI × ESGDOI
AI-Driven Optimization of Scheduling, Risk, and Sustainability in BIM-Enabled Construction Project Management
Suhib O. A. Amro, S. Naimi, A. Ibrahim
This paper proposes an AI-driven method to jointly optimize scheduling, risk, and sustainability in BIM-enabled construction project management. By explicitly including sustainability as an objective, it enables holistic decision-making tha…
Peer-reviewedJournalInternational Journal of Building Pathology and Adaptation2026#AI × ESGDOI
A novel BIM-AI-based framework towards data-driven value engineering optimization for circular economy in construction
Sachin Venu Jaya, V. Swarnakar, A. Acquaye +2
This study develops an integrated BIM-AI framework to enhance value engineering in construction, focusing on material optimization and resource management for circular economy. Using PRISMA-based literature review and Delft Ladder approach,…
Peer-reviewedJournalInternational journal of recent advances in engineering & technology2026#AI × ESGDOI
AI-Based Research and Experimental Analytical Assessment of Environmental and Economic Impacts of Fly Ash Utilization in Building Projects
M. S. Deore, D. P. D. Nemade
This study evaluates geopolymer concrete (GPC) using fly ash and GGBS, incorporating AI modeling to compare mechanical, durability, and environmental performance against conventional concrete. Findings show significant CO2 reduction and lif…
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…
Peer-reviewedJournalInf.2026#AI × ESGDOI
AI-Enabled System-of-Systems Decision Support: BIM-Integrated AI-LCA for Resilient and Sustainable Fiber-Reinforced Façade Design
M. Al-Jamal, Ayooub Alsarhan, Wafa' Q. Al-Jamal +4
This study presents a digital-twin-ready decision-support framework integrating BIM and AI-enhanced LCA. Machine learning surrogate models (Random Forest, Gradient Boosting, ANN) predict mechanical performance and lifecycle indicators (CO2,…
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…
Peer-reviewed🌍 GlobalJournalBuildings2026#AI × ESGDOI
The Rise of AI-Enabled Startups in Creating a Low-Carbon Built Environment
F. Pacheco-Torgal
This paper systematically reviews the role of AI in decarbonizing and enhancing resilience of the built environment. It maps AI applications across the building lifecycle—including generative design, predictive maintenance, digital twins, a…
Peer-reviewed🌍 GlobalJournalSustainability2026#AI × ESGDOI
The Role of Modern Digital Mechanisms in Shaping Building Structures for Sustainable Development: A Systematic Literature Review
Anna Szewczyk, J. Dzwierzynska
This systematic review evaluates how AI, Generative Design, and BIM contribute to sustainable development in construction. Using the PRISMA protocol, it synthesizes evidence on algorithmic intelligence supporting UN SDGs (9, 11, 12, 13). Fi…
Peer-reviewedJournalSmart and Sustainable Built Environment2026#AI × ESGDOI
Guiding early building design towards lower carbon emissions through set-based design and genetic algorithm optimisation
Linda Cusumano, Mats Granath, N. Olsson +1
This study integrates set-based design with genetic algorithm (NSGA-II) optimization to simultaneously minimize cost and embodied carbon in early building design. Applied to a reference building, the genetic algorithm alone reduced carbon b…
Peer-reviewedJournalE3S Web of Conferences2026#AI × ESGDOI
Automated IFC Generation and Machine Learning-Based λ-Correction for Embodied Carbon Estimation of Buildings
Chanhyeok Kang, Bokyung Jung, Taekyu Lee +2
This study proposes a practical framework for estimating embodied carbon in buildings using automated IFC model generation and machine learning correction. With minimal inputs (gross floor area, floors, etc.), baseline emissions are compute…
Peer-reviewedJournalBuilt Environment Project and Asset Management2026#AI × ESGDOI
An early-stage embodied carbon assessment method for the Global South: Sri Lankan case study
A. Nawarathna, Zaid Alwan, Barry J. Gledson +1
This study develops a multiple linear regression model for early-stage embodied carbon (EC) estimation using data from 25 office buildings in Sri Lanka. Gross internal floor area (GIFA) and external wall area (EWA) are the most influential …
Peer-reviewed🌍 GlobalJournalBuildings2026#AI × ESGDOI
Federated Learning-Enabled Building Stock Modeling for Privacy-Preserving Embodied Carbon Benchmarking in Residential Construction
N. Albelwi
This paper introduces FedCarbon, a federated learning-based building stock modeling system that enables collaborative embodied carbon benchmarking without central data aggregation. Using hierarchical federated aggregation with attention-bas…
Peer-reviewed🌍 GlobalJournalSustainability2026#AI × ESGDOI
DT-LCAF: Digital Twin-Enabled Life Cycle Assessment Framework for Real-Time Embodied Carbon Optimization in Smart Building Construction
N. Albelwi
This paper proposes DT-LCAF, a digital twin-enabled LCA framework for real-time embodied carbon optimization in construction. It integrates BIM, IoT, and ML (graph attention networks and reinforcement learning), validated on proxy data from…
Peer-reviewedCNJournalEnergies2026#AI × ESGDOI
Coordinated Scheduling of Carbon Capture, Renewables, and Storage in Bulk Carriers: A Dual-Timescale LSTM-Powered Multi-Objective Energy Management System Strategy
S. Ren, Min Chen
This study proposes a data-driven scheduling strategy for the Ship Integrated Energy System (SIES). Using LSTM for fuel consumption prediction and NSGA-II for multi-objective optimization, it simultaneously reduces CO2 emissions and costs. …
Peer-reviewed🌍 GlobalJournalFrontiers in Sustainable Development2026#AI × ESGDOI
The Practice and Challenges of Digital Technology in Ship Energy Efficiency Management
Zhihan Qiu
This paper examines the application of digital technologies (IoT, big data, AI) in ship energy efficiency management to comply with IMO regulations like CII. It analyzes practices in fuel monitoring, route optimization, and power control, i…
🌍 GlobalMaterials Research Proceedings2026#AI × ESGDOI
Multimodal Logistics Optimization Powered by AI for Green Hydrogen Export Corridors: An Internet of Energy Perspective on Morocco Europe Trade Routes
Raoua NACEIRI MRABTI
This paper applies AI-based optimization to green hydrogen export corridors from Morocco to Europe. Using machine learning on simulated data for road, pipeline, and sea transport, it finds that trans-Mediterranean pipelines are the most cos…
Peer-reviewedCNJournalProcesses2026#AI × ESGDOI
A Machine Learning-Enhanced Tri-Objective Stowage Optimization Framework for Low-Carbon Finished Steel Maritime Supply Chains
Bin Xu, Luyang Wang, Tingting Xiang +1
This study proposes a machine learning-enhanced tri-objective optimization framework for stowage planning of finished steel maritime logistics. It simultaneously maximizes deadweight utilization and minimizes carbon emissions, achieving 99.…
🌍 GlobalTraffic Engineering and Transportation System2026#AI × ESGDOI
Based on AIS data ship path optimization algorithm considering wind speed and ocean current environmental factors to reduce carbon emissions
Shiwei Zhou, Xinglong Liu, Feng Zhang +1
This paper proposes a genetic algorithm (GA)-based ship path optimization framework that uses AIS data to incorporate wind speed and ocean currents, aiming to minimize fuel consumption and carbon emissions. Evaluated on real AIS datasets, i…
