Toward AI-Enabled Green 6G Networks: A Resource Management Perspective
The development of 6G wireless networks is driven by the pressing need for reliable connectivity in the increasingly intelligent Internet of Things (IoT) ecosystem.
Nedaa Alhussien, T. Aaron Gulliver
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Bridging technology and sustainability: examining the role of green AI adoption in Indian banking sector. [PDF]
Front Artif IntellChandran M C S, Chandran R, Achuthan K.
europepmc +1 more source
The Impact of AI on Corporate Green Transformation: Empirical Evidence from China
With the rapid advancement of artificial intelligence (AI), its deep integration into corporate operations has become the key driver for firms to reconfigure factor resources, boost green total factor productivity, and achieve green transformation.
Zhen-Er Jiang, Qiang Wu, Fu Huang
core +1 more source
Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites
Advanced Functional Materials, EarlyView.A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim +13 more
wiley +1 more source
KM-DBSCAN: an enhanced density and centroid based border detection framework for data reduction towards green AI. [PDF]
Sci RepAboElsaad MY, Farouk M, Khater HA.
europepmc +1 more source
Literature review on forecasting green hydrogen production using machine learning and deep learning
Green hydrogen is a sustainable and clean energy source, for this purpose, it conducts the global energy transition. The integration of artificial intelligence (AI), especially machine learning (ML) and deep learning (DL) with the process of green ...
Moussaoui, Omar +2 more
core +1 more source
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
Advanced Functional Materials, EarlyView.The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
Real-world evaluat ion of hybrid Green AI for sustainable and efficient smart supply chain distribution. [PDF]
Sci RepHassouna MA +3 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.A Zn2+‐coordinated poly(vinylidene fluoride) binder is shown to suppress Jahn–Teller‐driven Mn dissolution while improving dispersion, wettability, and structural integrity in thick MnO2 cathodes. This simple binder‐engineering strategy enables high‐loading aqueous Zn‐ion batteries with enhanced areal capacity, cycling stability, and practical promise ...
Insung Jang, Geun Yoo, Geon−Hyoung An
wiley +1 more source