Results 191 to 200 of about 622,804 (338)

Advancing Circularity in Battery Systems for Renewable Energy: Technologies, Barriers, and Future Directions

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This article examines strategies to enhance the sustainability of battery systems in renewable energy through circular economy principles. It discusses recycling techniques, modular battery design, second‐life utilization, and regulatory frameworks. Key barriers include inadequate infrastructure and regulatory gaps.
Williams Chibueze Munonye   +5 more
wiley   +1 more source

The VTA Agreement: How Has it Done?

open access: yesMaine Policy Review, 1993
Richard Sedano
doaj  

Unlocking megawatt-peak-power laser emission with colloidal quantum dots. [PDF]

open access: yesSci Adv
Wu Y   +7 more
europepmc   +1 more source

Access to telecommunications networks [PDF]

open access: yes
telecommunication;telecommunication industry;networks;access to market;policy;allocation ...
Bijl, P. de, Canoy, M., Kemp, R.
core   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said   +2 more
wiley   +1 more source

Alzheimer's Imaging Consortium. [PDF]

open access: yesAlzheimers Dement
Pérez-Millan A   +10 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

Applications, Not Technology

open access: yesMaine Policy Review, 1993
David W. Amidon
doaj  

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