The leading contribution to the uncertainties of atmospheric neutrino flux calculations arise from cosmic-ray nucleon and production cross sections secondary particles in hadron-air interactions. data-driven model developed this work parametrizes particle yields fixed-target accelerator data. propagation errors data inclusive muon predictions results smaller than previous estimates, description...

Abstract. Wake steering models for control purposes are typically based on analytical wake descriptions tuned to match experimental or numerical data. This study explores whether a data-driven surrogate model with high degree of physical interpretation can accurately describe the redirected wake. A linear trained large-eddy-simulation data estimates parameters such as deficit, center location a...

Summary A physics-based data-driven model is proposed for forecasting of subsurface energy production. The fully relies on production data and does not require any in-depth knowledge reservoir geology or governing physics. In the approach, we use Delft Advanced Reservoir Terra Simulator (DARTS) as a workhorse simulation. DARTS uses an operator-based linearization technique that exploits abstrac...

This paper presents a data-driven control approach for maximizing the total power generation of offshore wind farm by using recently developed learning model predictive (LMPC) algorithm. The is designed coordinating yaw angle actions turbines to mitigate wake interactions among increasing production, which termed as redirection. mainly focuses on designing architecture and methodology LMPC farm...

Reduced-order models of flame dynamics can be used to predict and mitigate the emergence thermoacoustic oscillations in design gas turbine rocket engines. This process is hindered by fact that these models, although often qualitatively correct, are not usually quantitatively accurate. As automated experiments numerical simulations produce ever-increasing quantities data, question arises as how ...

in spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream efl. the major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. phrasal verbs have been shown to be a problematic area of learning english as a foreign language due to their semantic op...

Abstract: Wind turbine plants are complex dynamic and uncertain processes driven by stochastic inputs disturbances, as well different loads represented gyroscopic, centrifugal, gravitational forces. Moreover, their aerodynamic models nonlinear, both modelling control become challenging problems. On one hand, high–fidelity simulators should contain parameters variables in order to accurately des...