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 13721–13740 of 34388 papers
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This paper examines the role and development prospects of green finance in the ESG transformation of Russian companies. Amid global climate challenges and stricter environmental standards, it analyzes the current state of ESG implementation…
Andreas Muth, Sebastian Schlund
This study examines the role of the Digital Product Passport (DPP) in LIB recycling, identifying 61 critical data attributes through expert interviews and process mapping. While 35 attributes are already covered, additional data for disasse…
Postprint: Study on Optimal Phase-Change Temperature for Phase-Change Energy Storage Cogeneration Systems
Xiong Fei, Zhang Mai, Wang Xin +1
This study models a gas-turbine CCHP system integrated with phase-change energy storage and proposes a method to determine the optimal phase-change temperature. The simplified model shows how storage integration reduces equipment capacity a…
Marek R. Helinski
This paper presents a generative-AI decision-support framework that optimizes sustainable logistics by integrating EU policy variables (CBAM, EU ETS for maritime, FuelEU, Digital Product Passport, CSRD) into planning equations. Using genera…
Linda Sagnier Eckert, Ann-Sophie Finner, Daniel Heinz +1
This study envisions a circular economy for the European automotive industry by 2050 using backcasting. Digital technologies like AI, digital twins, and product passports enhance lifecycle management, traceability, and supply-chain transpar…
І. В. Арістова, В. В. Ткаченко
This article analyzes the right to information on products' environmental footprint as a new dimension of digital human rights. It examines EU legislation including Digital Product Passports, the Battery Regulation (2023/1542), CSRD, and ES…
R. Purushothaman, R. Alamelu, Sathya Manickam +2
This chapter examines how AI and emerging technologies reshape sustainable supply chains amid ESG goals and tighter regulations. It covers AI-driven design and inventory optimization to cut waste and emissions, plus blockchain for transpare…
Huang Ran, Zhao Cheng, Zeyuan Sun +4
This study develops a feasibility evaluation system for compressed air energy storage caverns that balances economic viability and stability. A comprehensive life-cycle cost function is established, integrating multi-dimensional elements to…
Niklas Quernheim, Hannah Scheerer, Annika Hesse +5
This paper systematically analyzes data space concepts (Digital Product Passport, Catena-X, PACT, Asset Administration Shell) for sharing environmental information needed in sustainable product development. It compares data types, semantic …
Niklas Quernheim, Hannah Scheerer, Annika Hesse +4
Sustainable product development requires early access to environmental data such as material origin, energy use, and emissions, demanding interoperable cross-organizational data sharing. This paper systematically compares data space initiat…
Hu Jianbo Liu Jing Gu Chenkai
This study uses GCMC simulations to evaluate CO2 adsorption and CO2/N2 separation in ZIF-8 and ZIF-90. ZIF-90 outperforms ZIF-8, and water has negligible impact on ZIF-8's CO2 adsorption. Findings support material selection for carbon captu…
Mojtaba Sedaghat, Antonio García Martínez, Shayesteh Hamidkhaniha
This review systematically compares material traceability frameworks for construction CO2 accounting, highlighting inconsistencies in standard EPD data. It proposes integrating Digital Product Passport (DPP) with Building Information Modeli…
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…
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