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-reviewed🇨🇳 ChinaJournalActa Oceanologica Sinica2026#Climate ScienceDOI
Drivers of greenhouse gas emissions from global coastal blue carbon ecosystems: a synthesis of methane and carbon dioxide fluxes
Fei Wang, Xiaoyong Duan, Gang Tong +8
This paper synthesizes methane and carbon dioxide fluxes from global coastal blue carbon ecosystems, identifying key drivers of greenhouse gas emissions. It provides a scientific basis for assessing the role of blue carbon in climate change…
Peer-reviewedJournalAdvances In Social Humanities Research2026#Climate RiskDOI
Integrated Modeling of Nature-Based Solutions for Flood Mitigation and Enhancement of Ecosystem Services in the Kupang City Watershed
Lukim Nomleni, Denik Sri Krisnayanti, Hamza H. Wulakada
This study evaluates integrated Nature-based Solutions (NbS) for flood mitigation and ecosystem services in the Kupang City watershed using hydrological and system-dynamics modeling. Interventions like vegetation enhancement and retention p…
Peer-reviewedJournalEnergy Reports2026#CCUSDOI
Cost-benefit analysis on carbon capture and storage (CCS) project: The case of Jawa 9 & 10 power plant in Indonesia
Tae Yong Jung, Sung Jin Kang, Seon Ju Lee +1
This study evaluates the economic feasibility of CCS at Indonesia's Jawa 9 & 10 coal power plant using cost-benefit analysis and Monte Carlo simulation over 30 years. Domestic carbon prices yield a BCR of 0.5-0.6 (infeasible), while interna…
Peer-reviewedJournalSolar Energy Materials and Solar Cells2026#CCUSDOI
Upgrading CO2-captured porous carbon into flexible phase change films for efficient photohermal energy conversion
Zongze Lv, Lean Xian, Fanmu Meng +3
This paper develops flexible phase change films using porous carbon derived from CO2 capture, enhancing photo-thermal energy conversion efficiency. It offers potential applications in solar thermal utilization and waste heat recovery, contr…
Peer-reviewed🇪🇺 EuropeJournalChemie Ingenieur Technik2026#CCUSDOI
Media, Information and Framing Effects on Public Knowledge and Attitudes Towards Carbon Capture and Utilisation in Germany
Julia-Lena Reinermann, Dorothee Arlt, Hannah Charlotte Müller +1
This study surveys German internet users to examine public knowledge and attitudes towards carbon capture and utilisation (CCU). Findings show low and socially stratified knowledge, widespread uncertainty, and small but significant framing …
JournalCFI-FCI2026#CCUSDOI
Electroactive Molecules for Electrochemistry-Driven Small Molecule Upgrading and Carbon Capture
Canada Foundation for Innovation | Fondation canadienne pour l'innovation
This paper focuses on electroactive molecules designed for electrochemical small molecule upgrading and carbon capture. It contributes to carbon capture, utilization, and storage (CCUS) technologies, potentially enhancing efficiency and sup…
🇺🇸 USAJournal2026#CCUSDOI
Integrating Carbon Capture, Utilization, & Sequestration into Chemical Pulp Mills
USDOE Office of Critical Minerals and Energy Innovation (CMEI), Office of Innovation, Affordability, and Consumer Choice (IACC). Industrial Technologies Office (ITO), William Sagues, Energy Efficiency Office. Industrial Efficiency & Decarbonization Office (IEDO) USDOE Office of Energy Efficiency and Renewable Energy (EERE) +4
This paper examines the integration of carbon capture, utilization, and sequestration (CCUS) into chemical pulp mills, addressing emission reduction potential and implementation challenges in the pulp industry.
Peer-reviewedJournalCarbon Capture Science & Technology2026#CCUSDOI
Quantification of Mineral Carbon Capture with Raman Spectroscopy and Machine Learning
Ginger W. Brown, Serena Y. Chin, Natalia V. Solomatova +3
This paper combines Raman spectroscopy and machine learning to quantify mineral carbon capture (CCS). It proposes a method to estimate carbon sequestration from spectral data, potentially improving CCS monitoring accuracy. However, specific…
Peer-reviewedJournal2026#CCUSDOI
Carbon capture in alkaline industrial waste
Ana Laura De la Colina Martinez
This paper explores carbon capture using alkaline industrial waste, leveraging waste properties to fix CO2. It aims to combine waste valorization with emission reduction. Specific findings are unclear, but it represents a novel approach in …
Peer-reviewedJournal2026#CCUSDOI
Carbon Capture in Concrete Wash Water
Ana Laura De la Colina Martínez
This paper focuses on carbon capture using concrete wash water, exploring potential CO2 emission reductions in the construction industry. Specific methods and results are unclear, but it highlights an innovative application of CCUS.
Peer-reviewedJournalSustainable Energy Technologies and Assessments2026#Energy TransitionDOI
A DCEF-driven Stackelberg bi-level coordination framework for low-carbon grid-load interaction with multi-objective demand response of energy-intensive enterprises
Xiaoshun Zhang, Chundi Wang, Zhengxun Guo +1
This paper proposes a Stackelberg bi-level optimization framework for low-carbon grid-load interaction, integrating multi-objective demand response of energy-intensive enterprises. DCEF (likely carbon emission factor) drives the coordinatio…
🇨🇳 ChinaDatasetZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
A source-aware machine learning benchmark and life-cycle screening database for low-carbon alkali-activated materials from coal gangue and steel slag
Jicheng Du
This study develops a machine learning benchmark and life-cycle screening database for low-carbon alkali-activated materials from coal gangue and steel slag. It compiles 237 mixture records, benchmarks Random Forest and XGBoost under variou…
Peer-reviewed🇨🇳 ChinaJournalSystems2026#Supply ChainDOI
Navigating Complexity of 3PL-Led Low-Carbon Supply Chains: A Two-Stage Dynamic Coordination Mechanism for Sustainability and Resilience Under Information Asymmetry
Jinde Jiang, Junding Yang, W Liu +3
This paper addresses information asymmetry in 3PL-led low-carbon supply chains using a Stackelberg dynamic game model. It shows centralized coordination improves both carbon reduction and profits under carbon cap policy and consumer low-car…
Peer-reviewed🌍 GlobalJournalSystems2026#AI × ESGDOI
T-Spherical Fuzzy-Valued Neutrosophic MEREC-EDAS Framework for Evaluating Low-Carbon Cooling and Energy Management Technologies for Data Centers
Nhat‐Luong Nhieu, Hoang‐Kha Nguyen
This study develops a T-Spherical Fuzzy-Valued Neutrosophic MEREC-EDAS framework to evaluate low-carbon cooling and energy management technologies for data centers. Based on assessments from 30 experts, nine technologies are ranked against …
Peer-reviewedJournalChemical Engineering Journal2026#Energy TransitionDOI
Metabolic rewiring of nitrogen assimilation by low-cost monosodium glutamate enhances carbon capture and biomass production in Cyanobacterium aponinum PCC10605
Yu-Chen Chou, Priskila A. Diankristanti, I‐Son Ng
This study reports that low-cost monosodium glutamate (MSG) rewires nitrogen metabolism in cyanobacteria, enhancing carbon capture and biomass production. It offers a cost-effective strategy to improve biomass yields for biofuel and bioprod…
Peer-reviewed🇨🇳 ChinaJournalEnergies2026#HydrogenDOI
Multi-Objective Optimization of a Hydrogen-Coupled Integrated Energy System with Cascade Waste-Heat Utilization for Low-Carbon Industrial Parks
Hongyue Deng, Huizhen Wan, Xu Li +4
This study proposes an integrated electricity-heat-gas-hydrogen energy system for carbon anode industrial parks and develops a 24-hour multi-objective scheduling model. By using surplus PV power for hydrogen production and coordinating grad…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Marine Science2026#AI × ESGDOI
Wind-constrained Pareto multi-objective reinforcement learning for low-carbon vessel traffic organization in port approach channels
Zhengjiao Qi, Yukuan Wang, Jingxian Liu +1
This study applies a wind-constrained Pareto multi-objective reinforcement learning (Pareto MO-PPO) to vessel traffic organization in port approach channels, incorporating wind as both an emission driver and scheduling constraint. In a Caof…
Peer-reviewed🇨🇳 ChinaJournalJournal of Mathematical Finance and Risk Management2026#Transition FinanceDOI
The Impact of the green Finance Reform and Innovation Pilot Zone on the Low-Carbon Transformation of High-Energy-Consuming Enterprises
Shuhan Cao
Using the green finance reform pilot zones as a quasi-natural experiment, this study employs DID on panel data from 814 listed high-energy-consuming firms (2011-2024). While average treatment effects are insignificant, heterogeneity analysi…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI
Conditional Low-Carbon Effects of China’s Digital Economy: Industrial Upgrading Moderation and Economic Development Thresholds
Bo Zhang, Shengnan Hou, Hongmei Li
Using panel data from 30 Chinese provinces (2011-2023), this study shows that digital economy development significantly reduces carbon emission intensity. Industrial upgrading amplifies this effect, and the reduction strengthens after cross…
Peer-reviewedCNJournalHumanities and Social Sciences Communications2026#PolicyDOI
Low-carbon city pilots and the mental health of older adults: quasi-experimental evidence from China
Rui Zhang, Zheyu Lin, Yiming Su +1
This study evaluates the impact of China's low-carbon city pilot policy on the mental health of older adults using quasi-experimental methods. It reveals unintended benefits of climate policy, suggesting positive social co-benefits.