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 1501–1520 of 4168 papers
Christian‐Oliver Ewald, Yaoyu Li
This study proposes a text-based framework for forecasting EU carbon prices, combining FinBERT sentiment analysis with PCA dimensionality reduction. Using weekly data from 2020-2024, the CNN-LSTM model with PCA inputs achieves the best perf…
Sébastien Houde, Wenjun Wang
Using micro-level data from Chinese firms, this paper shows that AI adoption reduces carbon emission intensity, with stronger effects for large firms, those in AI hubs, and high-carbon sectors. Mechanisms include improved energy management,…
Michael D. Bauer, Diego R. Känzig, Glenn D. Rudebusch
Using high-frequency event studies based on EU carbon market regulatory news, this paper shows carbon price surprises significantly raise energy futures, inflation swap rates, and breakeven inflation rates, with effects persisting up to ten…
G.S. Clark, Mohammad Adib, C H Li +5
This study experimentally investigates methane pyrolysis in shock tubes, providing detailed measurements and modeling of hydrogen and carbon black formation. It contributes to understanding the reaction mechanisms of methane pyrolysis, a pr…
Can Hankendi, Ayse K. Coskun, Benjamin K. Sovacool
This paper goes beyond AI's carbon emissions to analyze the whole-system energy and environmental sustainability of datacenters in Denmark, Germany, and Norway. It evaluates how renewable energy availability and cooling technologies affect …
Sami El Geneidy, Maiju Peura, Viivi-Maija Aumanen +4
This paper proposes a method to compute integrated carbon and biodiversity footprints from organizational activity data, using spatially explicit potential species loss as a biodiversity equivalent. It provides a country-specific dataset an…
Nick Schäuble, Marius Wehinger, Chihchi Huang +3
A life cycle assessment of an integrated process combining CO2 removal from biogas with liquid digestate treatment for water recovery and nutrient concentration. The green scenario achieves net-negative emissions of 0.45 kg CO2e per kg CO2 …
Paul Foulquier, Ryma Haddad, Ali Assem Mahmoud +4
This paper presents a machine learning approach to accelerate the design of complex and high entropy alloys for protective coatings in low-carbon energy applications (nuclear, high-temperature electrolysis). It introduces the French DIADEM …
Yulin Shao, Lu Yang, Jianhui He +4
This study develops a steel slag-based belite-ferrite (BF) clinker as an alternative to Portland cement clinker. The BF clinker promotes active α-C2S formation and reduces CO2 emissions by 22-38% compared to OPC clinker. In OPC-BF cement sy…
Katarzyna Piotrowska, Izabela Piasecka, Patrycja Bałdowska-Witos +1
This study proposes a decision-oriented LCA framework for sustainable product innovation in SUVs, evaluating six powertrain technologies from 2025-2050. Recycling outperforms landfilling, reducing GHG emissions by 26-35%, and BEV/FCEV are h…
Linglufei Zhang
This study focuses on thermal comfort and low-carbon design in residential buildings, proposing strategies to reduce energy consumption while improving comfort through analysis of indoor thermal energy cycles. A thermal airflow organization…
Jinghe Xu
This paper evaluates the effectiveness of precision agriculture, regenerative farming, and renewable-energy-based systems for low-carbon agricultural transition under climate change, using case studies from China, the Netherlands, and the U…
Ankang Miao, Yue Yuan, Junpeng Zhu +1
This paper proposes a low-carbon optimal scheduling method for integrated energy systems that considers source-load complementarity and carbon market price risk, aiming to balance economic efficiency and carbon reduction.
Jie Xiao, Guibin Luo, Weijin He +3
This review comprehensively examines the role of low-carbon materials in reducing CO2 emissions in the construction industry, noting that material production accounts for nearly half of total emissions. It summarizes recent technological ad…
Shansen Wei
This repository provides data, code, and outputs for a study on China's steel decarbonisation under carbon trading. Using a plant-resolved, spatially explicit model, it analyzes the coal-to-gas-to-hydrogen transition, hydrogen and CCS deplo…
Shrija Mandal, Aaditya Khanal, Bibek Uprety
This paper analyzes the economics of power-to-methanol using curtailed renewable energy, evaluating the impact of carbon sourcing, hydrogen storage, and temporal electricity constraints on cost and feasibility.
Cary Kincaid Corcoran, Julia Hansson, Linda Wårell +5
This study provides the first comparative analysis of drivers and barriers for green hydrogen and hydrogen-based fuels in Nordic ports, based on five case studies in Sweden and Iceland and 64 stakeholder interviews. Shared drivers include m…
Venkata Sai Avvaru, Haegyum Kim
This presentation discusses the development of disordered rock salt (DRX) oxyfluoride cathodes for lithium-ion batteries, which avoid critical elements like cobalt and nickel. It covers recent progress in highly fluorinated DRX compounds fo…
Andrew Smerald, Hannes Imhof, Edwin Haas +9
A process-based modeling framework (LandscapeDNDC) estimates national-scale agricultural N2O emissions for Germany, yielding 35 kt N/yr (2017-2022), 28% higher than the national inventory but within uncertainty. It captures climate variabil…
Liying Qiu, Rahman Khorramfar, Wang Shen +2
This study evaluates how climate change affects resource adequacy risks in wind and solar power systems and reconsiders optimal siting of renewable plants. By integrating climate models with power system models, it quantifies operational ch…
Browse by Topic