Advanced Materials, EarlyView.ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis. [PDF]
PLoS OneHayat B +6 more
europepmc +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
An Adaptive Estimation Method for Heterogeneous Group Targets with Uncertain Multiplicative and Additive Noises. [PDF]
Sensors (Basel)Liu Z, Jing W, Wang P, Gu W, Ma T.
europepmc +1 more source
Advanced Materials, EarlyView.The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
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A study on the correlation between types and duration of moderate-to-vigorous physical activity and mobile phone dependence among adolescents. [PDF]
Front Public HealthYang M.
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Comparative machine learning analysis identifies random forest and adaboost as superior models for the evaluation of semen quality and reproductive hormones. [PDF]
Front Reprod HealthRoychoudhury S +8 more
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Advanced Materials, EarlyView.The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus +9 more
wiley +1 more source
Divergence of environmental filtering: rock exposure rate filters reproductive traits whereas slope shape community richness. [PDF]
Front Plant SciHou M, Yu X, Li Q, Guo Y.
europepmc +1 more source