Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches. [PDF]
Wang L, Fang Y, Bergeman CS.
europepmc +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Handling Multi-Source Uncertainty in Accelerated Degradation Through a Wiener-Based Robust Modeling Scheme. [PDF]
Tu H, Wang X, Li Y.
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Observation of Relativistic Domain Wall Motion in Amorphous Ferrimagnets
Domain walls in ferrimagnets and antiferromagnets move as relativistic sine‐Gordon solitons, with the spin‐wave velocity setting their speed limit. Such relativistic domain‐wall motion is demonstrated in amorphous GdFeCo near angular momentum compensation, where current‐driven walls reach 90% of the 2 kms−1 spin‐wave speed, enabling ultrafast, device ...
Pietro Diona +3 more
wiley +1 more source
A sensor-fault resilient artificial pancreas using type-3 fuzzy logic and predictive controls. [PDF]
Mai VT +3 more
europepmc +1 more source
Geometry‐Dependent Adhesion in Transparent Monodomain Liquid Crystal Elastomers
Liquid Crystal Elastomers (LCEs) are emerging as exciting pressure‐sensitive adhesives. We examine adhesion in chemically identical elastomer films, exploring the influence of geometry (director orientation) and phase (nematic or isotropic). We demonstrate the potential of these aligned films as transparent, tunable, broad‐temperature‐range smart ...
Aidan Street +3 more
wiley +1 more source
STAC-Net: A hierarchical framework for modeling and predicting urban traffic flow with uncertainty quantification. [PDF]
Yan Z, Cai B.
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Uncertainty Quantification in Molecular Machine Learning for Property Predictions under Data Shifts. [PDF]
Parrondo-Pizarro R +2 more
europepmc +1 more source
Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market. [PDF]
von Borries K +5 more
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Modeling chaotic diabetes systems using fully recurrent neural networks enhanced by fractional-order learning. [PDF]
Mostafa E, Mahmoud TA, El-Brawany MA.
europepmc +1 more source

