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.
PreprintSSRN#Transition Finance
Supply Chain Finance Linking with Carbon Accounting Data for ...
(著者不明)
This paper proposes a framework linking supply chain finance with carbon accounting data, enabling companies to incorporate emission data into financial terms and incentivize decarbonization across the supply chain. While specific methods a…
PreprintSSRN#Climate Finance
Climate change disclosure and the cost of capital
(著者不明)
This paper empirically examines the impact of climate change disclosure on firms' cost of capital, finding that higher-quality disclosure is associated with lower cost of capital, highlighting investor valuation of transparency.
Preprint🌍 GlobalSSRN#TCFD
The Determinants and Performance Effects of Tcfd Adoption
(著者不明)
This paper empirically analyzes the factors driving firms' adoption of TCFD recommendations and the performance effects of such adoption, providing insights into the determinants and financial impacts of climate disclosure.
PreprintSSRN#ESG
Can Green Finance Drive the Walk-the-Talk in Corporate ESG ...
(著者不明)
This paper empirically examines whether green finance drives firms to translate ESG talk into concrete action. It investigates the effectiveness of green finance in promoting genuine corporate ESG practices and identifies conditions under w…
PreprintSSRN#AI × ESG
Environmental, Social and Governance (ESG) Rating Prediction ...
(著者不明)
This paper proposes a machine learning approach to predict ESG ratings. It builds models that estimate ESG scores from publicly available corporate data and compares performance with traditional methods. The research contributes to automati…
PreprintSSRN#AI × ESG
Climate Disclosure: A Machine Learning-Based Analysis of ...
(著者不明)
This study proposes and validates a machine learning-based approach to analyze corporate climate disclosures, highlighting the use of AI for assessing disclosure quality and compliance.
PreprintZenodo2026#Transition FinanceDOI
FINANCING GREEN PROJECTS IN THE REPUBLIC OF UZBEKISTAN: STATUS, CHALLENGES AND PROSPECTS
Qorriyeva Shahnoza Safarbayevna
This paper analyzes green project financing in Uzbekistan. From 2020-2024, renewable capacity grew to ~5,434 MW, SDG bonds of USD 235M and a sovereign green Eurobond of USD 350M were issued. However, regulatory, capital market, and transmis…
Preprint🌍 GlobalZenodo2026#Renewable EnergyDOI
Hybrid AI-Driven Optimization of Floating Offshore Wind-Solar Farms: A Multi-Objective Approach for Gigawatt-Scale Deployment in Deep Water Marine Environments
Adel Elgammal
This study proposes a hybrid floating offshore wind-solar platform and validates its design using an AI optimization framework combining machine learning, deep reinforcement learning, and genetic algorithms. Results show 32% higher energy o…
Peer-reviewedJournalSmall2025#HydrogenDOI
Challenges and Emerging Trends in Hydrogen Energy Industrialization: From Hydrogen Evolution Reaction to Storage, Transportation, and Utilization
Xu S.
This paper comprehensively reviews challenges and emerging trends in hydrogen energy industrialization. It covers the entire process from hydrogen evolution reaction to storage, transportation, and utilization, discussing technical barriers…
Peer-reviewedConferenceLecture Notes in Electrical Engineering2026#AI × ESGDOI
Artificial Intelligence Accelerates Low Carbon Transformation of Thermal Power Plants
Zhang Y.
This paper proposes methods to apply artificial intelligence to optimize the operation of thermal power plants, thereby reducing carbon dioxide emissions. By utilizing AI, it is possible to improve combustion efficiency and reduce downtime …
Peer-reviewedConference2025 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques Edct 20252025#HydrogenDOI
Electrolyzation of Cow Urine: An Approach Towards Green Hydrogen Production and Circular Economy
Goudar P.S.
This paper proposes the electrolysis of cow urine as a method for producing green hydrogen, integrating waste treatment with energy generation. The approach aligns with circular economy principles by converting a waste product into a valuab…
Peer-reviewedJournalChina Mining Magazine2025#CCUSDOI
Case analysis and suggestions on CO2 leakage monitoring point deployment method in CCUS project
Ma Z.
This paper presents a case analysis of CO2 leakage monitoring point deployment methods in CCUS projects, offering practical recommendations for effective monitoring.
Peer-reviewedJournalComputational Geosciences2024#CCUSDOI
Multi-objective optimization of subsurface CO 2 capture, utilization, and storage using sequential quadratic programming with stochastic gradients
Nguyen Q.M.
This paper proposes a multi-objective optimization method for subsurface CO2 capture, utilization, and storage (CCUS). It applies sequential quadratic programming with stochastic gradients to evaluate trade-offs between economic and environ…
Peer-reviewedJournalEnergies2023#CCUSDOI
A Review of CCUS in the Context of Foams, Regulatory Frameworks and Monitoring
Orujov A.
This review covers CCUS technologies focusing on foam-based methods for enhanced CO2 storage, regulatory frameworks, and monitoring techniques. It highlights the potential of foams to improve storage efficiency and the need for robust regul…
Peer-reviewedJournalInternational Journal of Hydrogen Energy2026#HydrogenDOI
Multi-mode optimal operation and comparison of a multi-hydrogen system and a hydrogen-blended natural gas pipeline network based on the green hydrogen portfolio standard
Huang X.
This paper analyzes the optimal operation of a multi-hydrogen system and a hydrogen-blended natural gas pipeline network under a green hydrogen portfolio standard, comparing their economic and environmental performance. It considers multipl…
Peer-reviewedConferenceLecture Notes in Civil Engineering2026#CCUSDOI
Possible Use of CO2 for Repurposing the Abandoned Oil and Gas Wells to Combat Climate Change and Achieve NET ZERO
Rashid F.
This paper explores the potential of repurposing abandoned oil and gas wells for CO2 storage or utilization, aiming to combat climate change and achieve net zero. It discusses the application of CCUS technology, leveraging existing infrastr…
Peer-reviewedConferenceLecture Notes in Electrical Engineering2025#CCUSDOI
Digital Twin Based CO2 Pipeline Transportation: A Review
Chen H.
This review surveys the application of digital twin technology to CO2 pipeline transportation, discussing its potential to improve efficiency and safety in CCUS systems.
Peer-reviewedJournalChemical Engineering Science2026#CCUSDOI
Surface-modified magnesium hydroxide nanosheets as effective 2D nano stabilizers for enhancing foam stability in CCUS processes
Gao P.
Proposes surface-modified magnesium hydroxide nanosheets as novel 2D nano stabilizers to enhance foam stability in CCUS processes, potentially improving CO2 storage efficiency.
Peer-reviewedConference2024 IEEE Technology and Engineering Management Society Temscon Latam 20242024#HydrogenDOI
Advancing green hydrogen production technologies: from renewable energy integration to leading electrolyzer solutions
De Jesus Pozos-Texon F.
This paper reviews advancements in green hydrogen production, focusing on renewable energy integration and leading electrolyzer technologies. It analyzes cost reduction pathways and scale-up challenges, providing insights for policy and ind…
Peer-reviewedCNJournalInternational Journal of Greenhouse Gas Control2017#CCUSDOI
Cleaner coal and greener oil production: An integrated CCUS approach in Yanchang Petroleum Group
Wang X.
This paper introduces an integrated CCUS approach at Yanchang Petroleum Group in China, targeting cleaner coal and greener oil production. It covers CO2 capture, utilization, and storage in an integrated manner within actual operations. It …