Results 191 to 200 of about 1,178,363 (355)
On the physics of some known diffusion anomalies in metallic and carbonaceous systems
, 2009 Yu. S. Nechaev
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The Mass-ive Issue: Anomaly Detection in Jet Physics
, 2023 T. Golling +10 more
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Advanced Materials Interfaces, EarlyView.Polyvinyl pyrrolidone passivation enhances TiO2/CsPbI2Br interfaces, suppressing recombination and improving photodetector performance with faster response, higher photoresponsivity, and superior detectivity. Abstract Inorganic perovskites hold immense promise for optoelectronic applications, but their performance is often hindered by defects and trap ...
Shruti Shah +12 more
wiley +1 more source
Interfacial Yield Stress Response in Synthetic Mucin Solutions
Advanced Materials Interfaces, EarlyView.The solution rheology of novel synthetic mucins mimicking natural mucin domains is studied. Like many natural mucin solutions, apparent solid‐like rheology is seen. However, no bulk structural features are found to explain it. Interfacial rheology and robust modelling reveal that this arises from molecular associations at the air–water interface ...
Sumit Sunil Kumar +7 more
wiley +1 more source
Precision muon-related observables as a tool to constrain new physics models
Nuclear Physics BWe propose a set of precision muon-related observables that serve as a tool to constrain new physics models. Using LEP's precision measurements on the Z-boson pole, we derive bounds on the new physics quantum contributions to the decay Z→μ+μ−.
Gabriel Lourenço +3 more
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Search for new physics in semileptonic decays of K and B as implied by the g-2 anomaly in FSM
, 2023 J. Bordes +2 more
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The Rise of Refractory Transition‐Metal Nitride Films for Advanced Electronics and Plasmonics
Advanced Materials Interfaces, EarlyView.Transition‐metal nitrides (TMNs) are exceptional materials with high stability, biocompatibility, and semiconductor integration, which have been extensively employed in various fields. However, the epitaxial growth of TMN films remains a challenge. The absence of high‐quality TMNs limits the understanding of their condensed matter physics and hinders ...
Jiachang Bi +3 more
wiley +1 more source
Recurrent neural networks for anomaly detection in magnet power supplies of particle accelerators
Machine Learning with ApplicationsThis research illustrates how time-series forecasting employing recurrent neural networks (RNNs) can be used for anomaly detection in particle accelerators—complex machines that accelerate elementary particles to high speeds for various scientific and ...
Ihar Lobach, Michael Borland
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