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 881–900 of 4160 papers
Adrian J. Huang, Matthew N. Dods, Ryan A. Klein +6
This study develops a porous molecular polyamine (TriptH) as a CO2 sorbent, achieving high capacity (5.3 mmol/g), stability under humid conditions, and endurance over 660 absorption-desorption cycles. It demonstrates unprecedented ability t…
Stefano Bellucci
This critical review examines carbon–inorganic hybrid catalysts for biodiesel production from low-grade feedstocks, focusing on acid–base chemistry, mass transfer, and stability. It proposes a minimum evidence hierarchy to distinguish true …
Qiusheng Gao, Meichen Yao, Liang Duan
This paper proposes a new paradigm for low-carbon retrofitting of existing wastewater treatment plants by coupling AI fine-tuned operation with dynamic in-situ retrofitting. AI optimizes operations to reduce energy consumption and greenhous…
Yabo Wang, Zhongshi Pei, Junda Ren +5
This paper comprehensively reviews hot in-place recycling for asphalt pavement maintenance from a low-carbon perspective. It covers process, quality control, performance, service life, and life-cycle evaluation, comparing environmental impa…
Haibo Lu, 苑占坡, Xiaoming Zhang
This review compares global low-carbon building codes and standards, highlighting differences in regulatory approaches (prescriptive vs. performance-based), implementation capacity, and adoption of carbon and life-cycle metrics. Reinforced …
Fahrettin Pala, Emine Kaya, Esra Nur Akpınar +3
Using panel data from 50 countries (2002-2019), this study examines how AI, renewable energy technology innovation (RETI), and regulatory quality (RQ) affect low-carbon energy transition. AI promotes transition across all income groups, whi…
Liliia Bilous
This dataset compiles 551 announced, planned, and operating hydrogen, ammonia, and methanol production projects across Asia, sourced from the IEA database and national agencies. It underpins the sample construction in the accompanying manus…
Yu Liu, Zhiyu Tian, Zhengxian Zhang +1
Analyzes China's low-carbon energy transition through the energy trilemma lens, revealing phased trade-offs among economic development, energy security, and environmental sustainability. Highlights a gradual pathway combining administrative…
Muhammed Gür, Hakan F. Öztop, Arif Hepbaşlı
This paper proposes a dynamic life-cycle carbon assessment for grid-connected building microgrids, showing that net-zero targets may fall short of true carbon neutrality. It accounts for time-varying grid carbon intensity to provide a more …
Xiaojie Lin, Jian Li, Rui Jing +4
This paper reviews the role of AI in transforming energy systems for carbon neutrality. It highlights how data-driven prediction, physics-informed learning, reinforcement learning, digital twins, and generative models enhance renewable fore…
Lina LIU, Jiansheng QU, Jingjing ZENG +5
This paper analyzes global carbon neutrality trends and derives policy implications for China. It compares emission reduction targets and policy instruments across countries, offering insights for China's energy transition and carbon market…
Guojun Ji, Jie Qin
This study uses game theory to analyze how information-sharing strategies (no, free, paid) in a platform-led supply chain affect a manufacturer's green innovation, profits, and total emissions under cap-and-trade. When market demand exceeds…
Xintao Li, Binh Bui, Thanh Phan
Using CDP data from 2018-2022, this study empirically examines how climate governance and supplier engagement influence Scope 3 disclosure quality. Findings show that climate governance partially mediates the effect of supplier engagement o…
Sofia Cabezon Wang, Sofia Cabezon Wang, Yuhe Zhu +3
This paper proposes a four-layered framework (project eligibility, risk-return architecture, information design, verification) to enhance the effectiveness of green finance. Using sustainable debt market data and case studies from Shanghai …
Rolf Schmid, Lars Börger, Michael Carus +1
The European chemical industry, heavily reliant on fossil feedstocks, must decarbonize energy and defossilize carbon in products to meet climate goals. This brief reviews renewable energy and hydrogen supply trends, and the development of g…
Nadia Cerone, Luca Contuzzi, Giuseppe Domenico Zito +3
This study conducts a cradle-to-grave Life Cycle Assessment (LCA) of biochar produced from agricultural wood waste via pyro-gasification. Comparing a basic scenario with one that recovers heat, the authors find a Global Warming Potential (G…
Jiachen Shen, Jian Shi, Hui Zhong +3
This paper applies mechanism-guided graph learning to evaluate carbon border policies (e.g., CBAM) in interconnected European electricity markets, integrating AI methods with climate policy assessment to quantify cross-border policy spillov…
Wolf DD, Westeinde MV, Qu C
This study evaluates battery electric buses (BEBs) versus hydrogen fuel cell buses (FCEBs) for Brussels' STIB transit agency using LCA, TCO, expert interviews, and multi-criteria analysis. FCEBs show lower emissions under renewable hydrogen…
Kollia M
This Perspective proposes the ZERO framework to shift AI data-centre sustainability evaluation upstream, before resource consumption. It combines hard admissibility constraints, workload characterisation, local resource-state assessment, fe…
Zhang Q, Sheng S, Liu T
A two-stage lexicographic framework for geo-distributed AI inference that preserves service while optimizing carbon and water. Trace-driven analysis of 26,392 requests reveals a 21-point carbon-water frontier, quantifying trade-offs. Provid…
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