Results 1 to 10 of about 2,296,202 (295)
Flow physics and mixing quality in a confined impinging jet mixer
Due to their ability to provide efficient mixing at small scales, confined impinging jet mixers (CIJMs) are employed widely in nanoparticle assembly processes such as flash nanoprecipitation and flash nanocomplexation, which require rapid mixing. In this
Yue Hao +4 more
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From data to noise to data for mixing physics across temperatures with generative artificial intelligence. [PDF]
Wang Y, Herron L, Tiwary P.
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Study on the Neutrino Oscillation with a Next Generation Medium-Baseline Reactor Experiment
For over fifty years, reactor experiments have played an important role in neutrino physics, in both discoveries and precision measurements. One of the methods to verify the existence of neutrino is the observation of neutrino oscillation phenomena ...
Chang Dong Shin, Kyung Kwang Joo
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The role of efficient fuel mixing and a stable flame holder is crucial in enhancing the performance and capabilities of scramjet engines for high-speed flight.
Ihab Omar +9 more
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Type-III seesaw in non-holomorphic modular symmetry and leptogenesis
Recently, Qu and Ding, have proposed a formalism where modular invariance is extended to non-supersymmetric scenario considering Yukawa couplings as non-holomorphic functions of modules field τ. Adopting this formalism in this work, we propose a Type-III
Priya +3 more
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Geophysical stratified turbulence and mixing in the laboratory
Geophysical fluid flows that are stably-stratified in density, like most of the ocean, can be strongly turbulent at small scales as a result of shear instabilities.
Lefauve, Adrien
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Sterile neutrino dark matter production
Sterile neutrinos provide active neutrinos with masses and mixing, and hence is one of the well-motivated candidate for dark matter. We discuss the sterile neutrino production mechanisms operating in the early Universe and show that additional scalar ...
Gorbunov Dmitry
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A Predictive Model for Turbulence Evolution and Mixing Using Machine Learning
The high cost associated with high-fidelity computational fluid dynamics (CFD) is one of the main challenges that inhibit the design and optimisation of new fluid-flow systems. In this study, we explore the feasibility of a physics-informed deep learning
Yuhang Wang +2 more
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Advancements in computational methods are driving the growth of Computational Fluid Dynamics (CFD) simulations for industrial fluidized bed boilers. Errors in 2D simulations arise from limited data, inadequate representation of complex multiphase physics,
Swaroop Jena +6 more
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Standard and Non-Standard Aspects of Neutrino Physics
This review provides a succinct overview of the basic aspects of neutrino physics. The topics covered include neutrinos in the standard model and the three-neutrino mixing scheme; the current status of neutrino oscillation measurements and what remains ...
Alessandro Granelli
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