GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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-reviewed🇪🇺 EuropeJournalRemote Sensing2026#AI × ESGDOI
Remote Sensing and AI-Based Monitoring of Soil Properties for Tier-3 MRV Framework of Complex Mediterranean Agroforestry Systems
Dimitra Palantza, Konstantinos Karyotis, Judit Torres Fernández del Campo +2
This study develops a hybrid machine learning and remote sensing framework for high-resolution soil organic carbon (SOC) mapping in Mediterranean agroforestry systems. Using Sentinel-2 data and environmental covariates, the model achieves R…
Peer-reviewedJournalEnergy Conversion and Management: X2026#AI × ESGDOI
Algorithmic intelligence for industrial decarbonization: a comparative analysis of meta-heuristic optimization versus commercial solvers in designing resilient hybrid microgrids
Md. Fardous Hasan Bappy
This paper compares meta-heuristic optimization algorithms with commercial solvers for designing resilient hybrid microgrids aimed at industrial decarbonization. It analyzes how AI-driven optimization can enhance energy efficiency and cost …
Peer-reviewed🇨🇳 ChinaJournalCell Reports Sustainability2026#AI × ESGDOI
Redirecting capital to overcome global renewable energy investment imbalances for a just energy transition
Simin Huang, Lin Yang, Jing Meng +4
This study develops a machine-learning optimization framework to quantify how five enabling technologies (hydrogen, storage, grids, electrified transport, CCUS) shape decarbonization, equity, and resilience goals. It finds investment distri…
CNJournalOSF Preprints (OSF Preprints)2026#AI × ESG
Spatial Spillover Effects and Dynamic Evolution of Agricultural Carbon Sinks Under China’s Dual-Carbon Goals
Adekola Priscilla
This study analyzes the spatial spillover effects and dynamic evolution of agricultural carbon sinks in China under the dual-carbon goals. Using panel data from 30 provinces (2000-2022), it employs spatial econometric models (Spatial Durbin…
DatasetZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
ML-Accelerated Quantum Variational Sampling for Carbon Capture Systems under Uncertainty
Jesús Pérez Expolio
This paper proposes a combination of machine learning and quantum variational sampling to optimize carbon capture systems under uncertainty. It applies AI/ML techniques to enhance CCUS process efficiency and cost reduction, promising indust…
Peer-reviewedJournalJournal for Research in Applied Sciences and Biotechnology2026#AI × ESGDOI
Optimizing Self-Compacting Concrete (SCC) Mix for Different Grades Using AI (ANN/RF models) for Low- Carbon Construction
Deepti Singh, Rakesh Kumar, Pooja
This study applies AI (ANN, RF, and GA) to optimize self-compacting concrete (SCC) mix designs, achieving 21–29% carbon emission reductions across grades M20–M60 while maintaining strength and workability. Using a dataset of 120 mixes, ANN …
Peer-reviewed🇨🇳 ChinaJournalSustainable Energy Technologies and Assessments2026#AI × ESGDOI
Carbon intensity and its associations with labor productivity and income inequality in China’s transition to carbon neutrality: A machine learning analysis of the energy sector
Mohaddeseh Azimi, Zhengfu Bian, Narges Salehi Shahrabi
This study uses machine learning to analyze the associations between carbon intensity, labor productivity, and income inequality in China's energy sector. It provides quantitative insights into how the decarbonization transition may affect …
Peer-reviewed🌍 GlobalJournalFINANCIAL REPORTING2026#AI × ESGDOI
Stakeholder engagement in the development of sustainability standards: Evidence from EFRAG and ISSB comment letters
Alessandro Sura, EMANUELE DI VENTURA
This study compares stakeholder engagement in EFRAG and ISSB sustainability standard-setting using NLP. Sentiment and topic analysis of comment letters reveals that EFRAG shows balanced sentiment and broader thematic focus, while ISSB empha…
Preprint🌍 GlobalCrossref2025#AI × ESGDOI
Green Intelligence Digital Twins: Climate-Resilient, Carbon-Aware Infrastructure
Murali Krishna Pasupuleti
This book proposes a framework for 'Green Intelligence Digital Twins' - computational models that integrate uncertainty quantification, causal inference, trustworthy machine learning, and lifecycle engineering to support climate-resilient, …
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
THE ROLE OF ARTIFICIAL INTELLIGENCE IN CLIMATE CHANGE MITIGATION AND SUSTAINABLE DEVELOPMENT: A POLICY-ORIENTED ANALYSIS
Muazzam Mirjalolova
This paper provides a policy-oriented analysis of AI opportunities and challenges for climate mitigation and sustainable development, covering energy efficiency, environmental monitoring, and resource management. It emphasizes that effectiv…
PreprintCNEnvironmental Science & Technology2025#AI × ESGDOI
A Satellite-Driven Model for Monitoring Urban Material Metabolism, Embodied Emissions, and Carbonation
Yu Nie, Ting Mao, Yupeng Liu +3
This study uses machine learning on satellite imagery to reconstruct Xiamen, China's 30-year urban metabolism: building stock growth, material flows, embodied emissions, and cement carbonation offsetting 6.6% of lifecycle emissions. It achi…
DatasetZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
A probabilistic Carbon Valley dataset for AI-infrastructure pressure on global carbon budgets
Yassine Charabi
This data descriptor presents the Carbon Valley dataset, a probabilistic carbon-accounting framework for AI infrastructure. It includes 1.92M annual records across four deployment pathways (Lift-Off, Base, Headwinds, High Efficiency) spanni…
Peer-reviewedJournalInternational Journal of Engineering Applied Sciences and Technology2026#AI × ESGDOI
INTELLIGENT SOLAR-POWERED DIRECT AIR CAPTURE AND ELECTROCHEMICAL CARBON UTILIZATION: A MACHINE LEARNINGENHANCED MULTI-OBJECTIVE OPTIMIZATION AND SLIDING MODE CONTROL FRAMEWORK FOR NET-ZERO INDUSTRIAL DECARBONIZATION
Adel Elgammal
This study proposes an intelligent control framework integrating machine learning-based multi-objective optimization and robust sliding mode control for a solar-powered direct air capture (DAC) and electrochemical carbon utilization system.…
Preprint🌍 GlobalZenodo2026#AI × ESGDOI
Greenwashing Intelligence Systems: Detecting ESG Narrative-Performance Gaps With Multimodal AI
Rakesh Dondapati
This paper develops a Greenwashing Intelligence System (GIS) using multimodal AI (transformer-based NLP, satellite data, emissions data, controversy records, financial disclosures, supply-chain signals) to construct a Narrative Ambition Sco…
Peer-reviewedJournalAIP Advances2026#AI × ESGDOI
Multiphysics modeling of hybrid thermo-electrochemical energy storage integration for industrial energy systems: A path to sustainable manufacturing under dynamic policy scenarios
Xu Cheng
This paper proposes a transient multiphysics hybrid energy storage framework integrating physics-based battery, thermal storage, and supercapacitors with a hybrid physics–deep learning surrogate strategy using PINN and Transformer models. I…
Peer-reviewedCNJournalJournal of Renewable and Sustainable Energy2026#AI × ESGDOI
Path selection for green and low-carbon economic industrial clustering based on machine learning algorithms
Xue Jiang, Xiaoli Ji
This paper applies machine learning (automated preprocessing, GNN, reinforcement learning, multi-objective optimization) to optimize path selection for green/low-carbon industrial clustering. Under the context of renewable energy integratio…
Peer-reviewed🌍 GlobalJournalAmerican Journal of Financial Technology and Innovation2026#AI × ESGDOI
The Role of Big Data in Enhancing Corporate Financial Forecasting and Budgeting: An Empirical Framework with ESG Moderation
Waqas Ahmed
This study examines the impact of Big Data Analytics (BDA) and ESG disclosure on corporate budgeting forecast accuracy using a sample of US and EU firms (2015-2024) with a hybrid econometric and machine learning approach. It finds that firm…
Peer-reviewed🌍 GlobalJournalJournal of International Financial Trends2026#AI × ESGDOI
AI-Driven Transformation of Environmental, Social, and Governance (ESG): A Systematic Review, Gap Analysis, and Future Research Agenda
A. Gomaa
This systematic review examines how AI transforms ESG assessment, disclosure, and monitoring. It identifies barriers including data fragmentation, algorithmic bias, regulatory inconsistency, and lack of explainability, and proposes a future…
Peer-reviewed🇨🇳 ChinaJournalWuhan University Journal of Natural Sciences2026#AI × ESGDOI
Analysis of Tripartite Evolutionary Game in Marketization of New Energy Electricity Prices Based on Large Language Models
Hui Mao, Benyan Tan, Ribesh Khanal +2
This paper uses large language models (LLMs) to analyze the strategic choices of photovoltaic generators, grid enterprises, and government in the marketization of new energy electricity prices. It combines an evolutionary game model with LL…
JournalMechanisms and machine science2026#AI × ESGDOI
Carbon Footprint Prediction at the Manufacturing Stage During Large Language Model-Driven Product Design and Its Application in Vibration Isolation Platform
Yuanshang Ji, Bin He, Sheng Yu +1
This paper proposes a method to predict carbon footprint at the manufacturing stage during product design driven by large language models (LLMs). Using a vibration isolation platform as a case study, it demonstrates the feasibility of quant…