Results 261 to 270 of about 204,518 (380)

Interrogating the Economic, Environmental, and Social Impact of Artificial Intelligence and Big Data in Sustainable Entrepreneurship

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Artificial intelligence and big data are increasingly being integrated into sustainable entrepreneurship practices. Yet, conventional literature often neglects to critically examine their economic, environmental, and social implications. We conducted a systematic literature review to understand when, how, and for whom artificial intelligence ...
Nathanael Ojong
wiley   +1 more source

Advancements in Silicon Anodes for Enhanced Lithium‐Ion Batteries Performance: Innovations Toward Next‐Gen Superbatteries

open access: yesBattery Energy, EarlyView.
Advancing Anode Materials for Next‐Generation Energy Storage Applications. ABSTRACT Silicon (Si)‐based materials have emerged as promising alternatives to graphite anodes in lithium‐ion (Li‐ion) batteries due to their exceptionally high theoretical capacity.
Norshahirah Mohamad Saidi   +5 more
wiley   +1 more source

Impact of Mechanical Arc Oscillation on the Microstructure and Durability of Welded Joints in Molten Salt Thermal Storage System. [PDF]

open access: yesMaterials (Basel)
Pastén R   +8 more
europepmc   +1 more source

A Review of the Use of Chemical Stabilisation Methods for Lithium‐Ion Batteries

open access: yesBattery Energy, EarlyView.
The review reveals that while chemical stabilisation techniques for recycling EOL LIBs are widely used, many studies overlook safety risks, focusing on quick, low‐cost methods. Only a few studies address the associated hazards, highlighting the need for safer, well‐understood stabilisation processes in battery recycling. ABSTRACT The increasing amounts
Mark D. Williams‐Wynn   +1 more
wiley   +1 more source

Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs

open access: yesBattery Energy, EarlyView.
To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu   +3 more
wiley   +1 more source

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