Results 111 to 120 of about 189,902 (294)

When AI Amplifies Negative Echoes: CEO–TMT Faultlines, Eco-Attention, and the Hindrance of Green Innovation

Systems
Digital technologies are increasingly reshaping how top management teams (TMTs) make strategic decisions regarding green innovation. Although prior research has examined the roles of TMT characteristics and artificial intelligence (AI), it remains ...
Zhiyu Chen, Jianzu Wu, Chongchong Lyu
doaj   +1 more source

Validity at the forefront: investigating threats in green AI research

Green AI aims to make artificial intelligence energy-efficient and sustainable. Researchers have formulated new frameworks, methods, models and experiments aimed at the understanding and optimization of greenability in the AI arena.
Farré Tost, Carles, Franch Gutiérrez, Javier   +1 more
core   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

RETRACTED: Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework

Frontiers in Environmental Economics
Artificial intelligence (AI) plays a pivotal role in the development of the green economy. This paper examines the impact of artificial intelligence (AI) on green economic efficiency (GEE) using panel data from 30 provinces in China spanning 2011–2020. A
Zhichun Song, Yao Deng
doaj   +1 more source

Introduzione. Cos'è Green? / Introduction. What is green?

, 2010
Introduzione ai contenuti e ipotesi generale del libro "Cos'è green?"
LICATA, Gaetano
core  

Nonthermal Plasma Reduction of Nickel Oxide Layers by Atmospheric Pressure Dielectric Barrier Discharge in Argon/Hydrogen

Advanced Engineering Materials, EarlyView.
This work explores the reduction of nickel oxide layers using dielectric barrier discharge plasma in an argon–hydrogen atmosphere. The results reveal a strong temperature dependence, enabling complete reduction of thick oxide layers at 200°C within seconds.
Maria Argirusi, Viktor Udachin, Sascha Jan Zimmermann, Alexander Tillmanns, Lienhard Wegewitz, Wolfgang Maus‐Friedrichs   +5 more
wiley   +1 more source

The role of artificial intelligence and green technological innovation in shaping greener and nuclear energy efficiency: Evidence from developed and developing countries using a panel time-varying approach

Energy Strategy Reviews
Artificial intelligence (AI) and green technological innovation have become central to improving the efficiency of renewable and nuclear energy systems, particularly following the rapid acceleration of AI deployment since 2022.
Magdalena Radulescu, Mohammad Sharif Karimi, Said Khalfa Brika, Kamel Si Mohammed, Luigi Popescu   +4 more
doaj   +1 more source

Assessing the research scene of green AI via bibliometric analysis.

The environmental impact of artificial intelligence (AI) continues to rise as more people embrace the technology. The optimization of AI models to be more efficient, use less energy, and emit low carbon is essential.
Ibeke, Ebuka, Abdulmalik, Michael Rabiu, Abdulmalik, Michael, Ezenkwu, Chinedu Pascal, Iwendi, Celestine   +4 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

The Impact of Artificial Intelligence on ESG Performance of Manufacturing Firms: The Mediating Role of Ambidextrous Green Innovation

Systems
In the context of the worldwide quest for green and sustainable development, there is a growing importance in enhancing the environmental, social, and governance (ESG) performance of manufacturing companies.
Hao Jing, Shiyu Zhang
doaj   +1 more source