Due to the lack of analytical solutions for the wear rates prediction of nanocomposites, we
present a modified machine learning method named Dendritic Neural (DN) to predict the …

Recently, some nanoparticles have been used to upgrade injected water into oil reservoirs
to enhance oil recovery. These nanoadditives can be used in a variety of injectable waters …

In nature, CH 4 hydrates are mainly buried in marine sediments. The complex marine
environments on the seafloor continuously affect hydrate formation. Herein, systematic …

In this study, hybrid machine learning nonlinear models were developed to predict the
viscosity of DESs by combining the group contribution (GC) concept with the multilayer …

A review of studies involving machine learning-based modeling of nanofluid flows with a
specific focus on their utilization in compact heat transfer devices for electronic device …

In gas-condensate reservoirs, liquid dropout occurs by reducing the pressure below the dew
point pressure in the area near the wellbore. Estimation of production rate in these …

Considering the global need for fossil fuels and its limited resources, maximum production
from oil reservoirs is important. Acid treatment is a common method to stimulate oil …

In the framework of the ongoing EMPIR JRP 18HLT08 Metrology for Drug Delivery (MeDDII),
a main task is to improve dosing accuracy and enable traceable measurements of volume …

Hydraulic models have been regarded as an essential tool for controlling and operating
water distribution systems (WDSs). With the rapid development of communication networks …

Реологическое поведение водных суспензий на основе наноразмерных частиц
диоксида кремния сильно зависит от динамической вязкости, которая непосредственно …