New explicit correlation to compute the friction factor under turbulent flow in pipes by Alan Olivares Gallardo, Rodrigo Guerra Rojas, Marco Alfaro Guerra

Get full text

Correlations for friction factor of Carreau fluids in a laminar tube flow by Kim Sun Kyoung

“…By deriving a semi-analytical form of the Darcy friction factor, the study enables rapid and repeated evaluations across diverse flow conditions, facilitating the development of an explicit correlation. This improved correlation, built upon extensive data analysis, offers enhanced accuracy and broader applicability in predicting fluid behavior. …”
Get full text

Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…While all developed models demonstrated high accuracy, the RBF-NN model was the superior predictive tool, achieving a mean absolute percentage error (MAPE) of 0.82 % and a standard deviation (SD) of 1.19 % during the validation phase. Also, an explicit correlation for FFT was proposed using the white-box machine learning technique of Gene Expression Programming (GEP), which achieved the MAPE of 0.59 % for all data. …”
Get full text

The reggeon vertex for DDF states by Dripto Biswas, Raffaele Marotta, Igor Pesando

“…Abstract We provide a compact expression for the generating function of correlators involving an arbitrary number of bosonic open string DDF states. The explicit correlators for M DDF states can then be obtained by differentiating this generating function with respect to the DDF polarization tensors. …”
Get full text

When does a Fermi puddle become a Fermi sea? Emergence of pairing in two-dimensional trapped mesoscopic Fermi gases by Emma K. Laird, Brendan C. Mulkerin, Jia Wang, Matthew J. Davis

“…We couple a stochastic variational approach with the use of an explicitly correlated Gaussian basis set, which enables us to obtain highly accurate energies and structural properties. …”
Get full text

Predicting Fluid Properties in the MUFITS Reservoir Simulator with User-Supplied Modules by Andrey Afanasyev, Ivan Utkin

“…We present a recent development of the MUFITS reservoir simulator aiming at modelling the transport of fluids whose properties and phase equilibria are calculated in a user-supplied external shared library. Both the explicit correlations and tabulated data for the fluid parameters can be implemented in the library that we name the EoS-module (Equation of State-module). …”
Get full text

Fine structure of the doublet P levels of boron by Saeed Nasiri, Dmitry Tumakov, Monika Stanke, Andrzej Kędziorski, Ludwik Adamowicz, Sergiy Bubin

“…The nonrelativistic wave function of each of the states is generated in an independent variational calculation by expanding it in terms of a large number, 12000–17000, of all-electron explicitly correlated Gaussian (ECG) functions whose nonlinear parameters are extensively optimized with a procedure that employs analytic energy gradient determined with respect to these parameters. …”
Get full text

Hybrid LSTM–Transformer Architecture with Multi-Scale Feature Fusion for High-Accuracy Gold Futures Price Forecasting by Yali Zhao, Yingying Guo, Xuecheng Wang

“…Furthermore, feature selection often relies on empirical assumptions, failing to uncover non-explicit correlations between market factors and gold futures prices. …”
Get full text