The electronic structure, atomistic simulation, and experimental data work together for the parametrization of an efficient CG model. In recent years, data-driven machine learning techniques have ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...

To investigate the impacts of two-parametrization dynamical dark energy on the total neutrino mass ∑mν ∑ m ν physically, we focus on two special dynamical dark energy models that are proposed in Ref. ...

Add a description, image, and links to the semiempirical-parametrization topic page so that developers can more easily learn about it ...

Genetic algorithm optimization for parametrization, digital twinning, and now-casting of unknown small- and medium-scale PV systems based only on on-site measured data ...

In place of using an exact microscopic description of the evolution of the nuclide vector the parametrization strategies rely on fitting functions of 2nd tier parameters like burnup and fuel type to ...

Parametrization of the bonded part of molecular mechanics (MM) force fields (FFs) is typically done by fitting reference quantum mechanical (QM) energies or forces of representative structures. FFs ...

It has been shown that equivariant convolution is very helpful for many types of computer vision tasks. Recently, the 2D filter parametrization technique has played an important role for designing ...