Predicting the production performance of multistage fractured horizontal wells is essential for
developing unconventional resources such as shale gas and oil. Accurate predictions of the …

Deviations from nominal design values of mechanical characteristics of seismic isolators are
inevitable due to uncertainties and/or errors in material properties, element dimensions …

One of the applications of nanotechnology is use of carbon nanotubes for the targeted
delivery of drug molecules. To demonstrate the physical and chemical properties of …

In this investigation, the interaction of Calixarene with 20 amino acids, with double-walled
carbon nanotubes (DWNTs), are examined, with Amber and OPLS force field in molecular …

Abstract Is Stochastic Gradient Descent (SGD) substantially different from Metropolis Monte
Carlo dynamics? This is a fundamental question at the time of understanding the most used …

In this investigation, the interaction of Calixarene with amino acid (alanine) with double-
walled carbon nanotubes (DWNTs) are examined, with OPLS, Amber and MM+ force field in …

The stationary points of the potential energy function of the φ 4 model on a two-dimensional
square lattice with nearest-neighbor interactions are studied by means of two numerical …

Recently, the majority of the investigation into computational chemistry has been focused on
the examination of molecules submerged in various solvents and the interaction of …

The mixture of experts (ME) model is effective for multimodal data in statistics and machine
learning. To treat non-stationary probabilistic regression, the mixture of Gaussian processes …

Granular lost circulation materials (LCMs) are used to control fluid loss in naturally fractured
thief zones. Rapid and automated identification of their optimal particle size distribution …