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.
Showing 3821–3840 of 24476 papers
Hu Jianbo, Liu Jing, Gu Chenkai
Using Grand Canonical Monte Carlo simulations, this study investigates the effect of water vapor on CO2 adsorption and CO2/N2 separation in ZIF-8 and ZIF-90. ZIF-90 demonstrates superior performance, while H2O has negligible influence on ZI…
Wang Xuyang
This field experiment in arid Xinjiang compared soil greenhouse gas emissions from mulched and non-mulched maize and cotton plots. Plastic mulching increased yields but altered emission patterns, providing insights for GHG mitigation in cro…
Ren Zhijun<sup>1, 2</sup> Qiao Xiaodong<sup>1</sup> Zhang Jiangtao<sup>2</sup>
This study applies LDA topic modeling to papers and patents to automatically identify candidate emerging technologies in the electric vehicle sector. By measuring topic similarity, the method detected 25 emerging technologies, offering a da…
Marija Glišić, Charles Møller, Badrinath Veluri +1
This paper proposes a conceptual model, the Digital Process Passport, for collecting and sharing manufacturing information to support sustainable manufacturing. It integrates data scattered across enterprise systems to quantify, monitor, an…
Hou Chunguang, Tang Shuai, Youhua Gao +2
This paper develops a thermal characteristic model of a 150kW DC charging pile and uses the finite volume method to simulate internal flow and temperature fields. It aims to optimize heat dissipation design under high output power and harsh…
Lyu Zhang, René H. Reich, Adrien Berthelot +3
This study proposes a five-dimensional conceptual model to structure the potential life-cycle environmental impacts of Digital Product Passports (DPPs) as digital services. It distinguishes DPP users, issuers, service providers, hosts, and …
André Pomp, Maike Jansen, Holger Berg +1
This concept paper presents SPACE_DS, a privacy-preserving data space for circular economy data. Its goal is to enable creation of Digital Product Passports (DPPs) by collecting lifecycle data from multiple supply-chain stakeholders while p…
Peng Wenping<sup>1,2</sup>, Xu Min<sup>1</sup>, Huai Xiulan<sup>*1</sup>
A numerical study of a metal foam reactor for acetone hydrogenation in an isopropanol-acetone-hydrogen chemical heat pump. The design improves reaction efficiency and energy utilization for heat storage and upgrade, supporting industrial wa…
Moritz Hörger, Mara Simon, Yannik Hermann +3
This paper addresses Digital Product Passports (DPP) as a data infrastructure for sustainability, exploring how passport data can drive circular strategies (e.g., reuse, repair, recycling). It contributes to the growing EU policy context of…
Xu Gang, Zhao Shifei, Zhou Luyao, Dong Wei, Yang Yongping
This study proposes a novel system integrating ultra-supercritical coal-fired power with a hydrogen-oxygen combined cycle, simulated using EBSILON. It demonstrates efficient co-utilization of hydrogen and coal, offering a pathway to retrofi…
Oliver Vogt, Julian Rolf, Mario Wolf +1
This paper presents a demonstrator of a cyber-physical production system (CPPS) that captures and provides product-individual carbon footprint data. The system integrates real-time production data with emission accounting to enable granular…
Sun Hong, Yu Dongxu, Song Wenshuai +1
This study focuses on the oxygen reduction reaction at the cathode of PEM fuel cells, developing an oxygen adsorption model on Pt surfaces and a redox reaction model for hydrogen and oxygen. Using molecular dynamics simulations, it investig…
Dominik Piétron, Philipp Staab, Florian Hofmann
Strategic product data management can foster circular ecosystems and cut carbon emissions. The authors analyze the EU's Digital Product Passport (DPP) and five product life cycle cases, proposing publicly coordinated product data platforms …
Zhu Tian-yu Jin Yue Shu Yue Cai Yi-fan
This paper develops a heat transfer model for rarefied gas in the vacuum annulus of a parabolic trough receiver tube, based on four heat transfer mechanisms under varying vacuum pressures, and validates the model. Heat loss and glass outer …
Research Progress on the Effects of Seed Sludge Pretreatment and Fermentation Temperature on Dark Fermentative Hydrogen Production\*
Yang Xia, Li Ruying
This review examines how seed sludge pretreatment and fermentation temperature affect dark fermentative hydrogen production from organic waste, a dual-benefit technology for waste treatment and clean energy. It summarizes recent progress an…
(著者不明)
This article presents Nutritics' AI-based technology that automatically matches food items to lifecycle inventory carbon and water data, enabling food service companies to measure and report Scope 3 emissions. It highlights the current lack…
Xintao LI
This dissertation comprises three studies on supply chain emissions (Scope 1, 2, 3) reporting and management. Using CDP data, it shows that supplier engagement and climate governance improve Scope 3 disclosure quality. Survey data from 224 …
Lee Shee Weng
A systematic overview of strategies, technologies, and financial innovations for achieving net-zero corporate supply chains. It covers Scope 3 reduction methods, renewable energy procurement, and transition finance, offering practical appro…
Zaid Thanawala
This paper focuses on Scope 3 emissions as a critical element for achieving net zero, reviewing supply-chain decarbonization strategies such as material efficiency, renewable energy transition, and circularity. It highlights challenges in m…
Deó de Urquía, Inés
Scope 3 accounts for over 80% of food sector emissions but faces data accuracy, transparency and verification challenges. Using Fuzzy-TISM and Fuzzy MICMAC, the authors model nine obstacles and identify complex supply chains and emission so…
Browse by Topic