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.
Showing 2501–2520 of 4154 papers
Water spring
This system forecasts depletion of 18 non-renewable resources from 2024-2124 and models cascading effects between resources. It presents a core timeline for 11 key resources, predicting structural fractures concentrated between 2035-2040 an…
Artur Hecker
This paper discusses the energy consumption of agentic AI and how AI can optimize 6G networks for sustainability. It highlights the dual role of AI as both a consumer and enabler of energy efficiency.
Haoxin Zhao, Kazeem O. Isah
This study uses an ADL-MIDAS framework to examine how physical and transition climate risks affect sectoral corporate profits in the US. ESG plays a negligible mediating role but improves forecast performance when included. Results show sig…
Benedetta Peiretti Paradisi, Maryam Karrar, M. Prussi
This review examines hydrogen, methane-based fuels, methanol, and ethanol for internal combustion engines using a pathway-based approach integrating life-cycle assessment, technology readiness level, commercial readiness level, and engine c…
Muhammad Hammad Rasool
This chapter provides the first integrated assessment of deep eutectic solvents (DES) across the full CCS value chain. DES offer tunable properties for CO2 capture via physisorption and chemisorption, and provide multifunctional advantages …
Liwang Wang, Xiaoxu Duan, Yue Wang +6
This paper presents the research and pilot-scale application of a novel carbon capture technology enhanced by hydro-jet oscillation. The technology demonstrates potential to reduce energy consumption and improve CO2 capture efficiency compa…
Basaula Pululu Jordan, Xinyu Yang, Y Shi +5
This paper proposes an uncertainty-aware BIM-LCA methodology integrating automated quantity takeoff, probabilistic carbon assessment, and explainable machine learning optimization to reduce embodied carbon in building design. Using a case s…
Zaidoon Alhatabat, Diala Ershaid, Nashat Ali Almasria +1
This paper reviews current trends in integrated reporting (IR) within the convergence of ESG, digital transformation, and Industry 5.0. It finds that AI, NLP, and blockchain enhance reporting accuracy and timeliness but introduce ethical an…
Xiyue Cao, Xujiang Qin, Yanqiu Zuo +2
This review comprehensively synthesizes AI applications for carbon emissions management across monitoring (satellite remote sensing, sensor networks, ML), prediction (deep learning, ensemble learning, statistical learning), and reduction (i…
Seungyeol Lee
This review consolidates advances in ex situ Ca-based mineral carbonation for permanent CO2 storage as engineered limestone. It compares feedstocks (Ca-silicates vs. industrial residues), direct/indirect routes, conversion efficiency, energ…
Mohamed Mahmoud Abdelrahman, N. Darraj
This paper provides a worldwide comparison of CCUS tariffs, analyzing how geology, regulation, and infrastructure shape costs. Total costs range from €20 to €140/tCO2, with T&S tariffs typically €5-€45/tCO2. Capture costs vary greatly by CO…
Aslı Özpolat, Ferda Nakıpoğlu Özsoy, Burak Büyükoğlu
This study uses dynamic panel models (System GMM) on 35 European countries (2000-2022) to examine the effect of renewable energy consumption share on male and female unemployment. Results show no statistically significant effect of renewabl…
Jianhua Zheng
This study examines green job penetration and quality in eight major economies (Brazil, China, France, Germany, India, Japan, Spain, USA) from 2013-2023. It finds a trade-off: renewable energy investment boosts job quantity but reduces qual…
Marina Palaisti
This paper proposes a methodology to embed climate transition risk into banking book loan pricing, using Scope 3 emissions and PCAF attribution. It adapts climate policy capital concepts from trading books to amortizing loans, computing a l…
Minghu Xie, Kejia Yan, Bo Zhang
Using sector-disaggregated data for G20 economies (1990-2023) and a staggered difference-in-differences approach, this paper finds that emissions trading systems (ETS) reduce downstream CO₂ emissions with a 1-2 year lag, with heterogeneous …
Peixin Zhang, Luoxing Xiang, Junghye Lee +3
This paper reports a novel ultramicroporous metal-organic framework (MOF), PCP-IPAN, designed for efficient CO2 capture. It exhibits highly temperature-sensitive adsorption, enabling high working capacity and facile desorption under mild co…
X Zhang, Xiaodong Liu, Juan Du +2
This paper proposes a multi-feature coordinated adaptive ECMS using fuzzy logic to enhance hydrogen efficiency and extend fuel cell system lifespan in fuel cell hybrid commercial vehicles. It dynamically integrates three operational feature…
Luyuan Tang, Shiyao Xie, Yuan Xu +1
This study examines the impact of China's Low-Carbon City Pilot Policy (LCCP) on AI industry development using a staggered difference-in-differences framework with data from 285 Chinese cities (2007-2022). Results show LCCP is associated wi…
Yuqing Xiao, Antonio Somoza López
This study analyzes the EU's NFRD impact on ESG performance using 19,036 observations (2010-2022) and a time-varying difference-in-differences method. Findings: NFRD improves overall ESG but environmental impact is limited; ESG gains are sm…
Ekaterina Kravchenko, Muhammad Huzaifa Raza, Dariya Privizentseva +4
This study evaluates the environmental performance of hydrochar produced from apple tree pruning residues via hydrothermal carbonization (HTC) at 180°C and 250°C using LCA. Compared to composting, HTC achieves negative net greenhouse gas em…
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