This chapter introduces fundamental computational approaches and ideas to energy materials. These can be divided into two main streams: one dealing with the motion of atoms or ions described at a simplified level of theory and another focusing on electrons. The modeling framework, which covers both streams, is outlined. The atomistic simulation techniques discussed in the chapter are concerned with describing the energy landscape of individual atoms or ions, where classical mechanics can be usefully employed as the first successful approximation. Multiscale approaches could be the method of choice if one is interested in large molecules, inhomogeneous solids, complex environments or geometrical arrangements, systems that are far away from e...
With developments of semi-empirical interatomic potentials for realistic materials systems, atomisti...
We introduce a class of interatomic potential models that can be automatically generated from data c...
This thesis deals with the theoretical and computational modelling of materials by using a variety o...
Various methods for simulating materials and minerals at an atomic level are reviewed, including lat...
Theory and application of atomistic computer simulations to model, understand, and predict the prope...
Atomistic simulation technique such as first-principles, molecular dynamics and Monte Carlo methods ...
Computational modeling techniques are now standard tools in solid‐state science. They are used routi...
Predictive, physics-based modeling with quantified uncertainties has the potential to revolutionize ...
Additional contributors: Brian Vankoten; Mitchell Luskin (faculty mentor)Abstract The purpose of th...
Molecular dynamics (MD) is a powerful condensed matter simulation tool for bridging between macrosco...
The design of metals and alloys resistant to radiation damage involves the physics of electronic exc...
Molecular Dynamics is a two-volume compendium of the ever-growing applications of molecular dynamics...
Computational models can support materials development by identifying the key factors that a ect mat...
Abstract: The interpretation of physico-chemical observables in terms of atomic motions is one of th...
An atom-atom intermolecular force field with subdivision of interaction energies into Coulombic-pola...
With developments of semi-empirical interatomic potentials for realistic materials systems, atomisti...
We introduce a class of interatomic potential models that can be automatically generated from data c...
This thesis deals with the theoretical and computational modelling of materials by using a variety o...
Various methods for simulating materials and minerals at an atomic level are reviewed, including lat...
Theory and application of atomistic computer simulations to model, understand, and predict the prope...
Atomistic simulation technique such as first-principles, molecular dynamics and Monte Carlo methods ...
Computational modeling techniques are now standard tools in solid‐state science. They are used routi...
Predictive, physics-based modeling with quantified uncertainties has the potential to revolutionize ...
Additional contributors: Brian Vankoten; Mitchell Luskin (faculty mentor)Abstract The purpose of th...
Molecular dynamics (MD) is a powerful condensed matter simulation tool for bridging between macrosco...
The design of metals and alloys resistant to radiation damage involves the physics of electronic exc...
Molecular Dynamics is a two-volume compendium of the ever-growing applications of molecular dynamics...
Computational models can support materials development by identifying the key factors that a ect mat...
Abstract: The interpretation of physico-chemical observables in terms of atomic motions is one of th...
An atom-atom intermolecular force field with subdivision of interaction energies into Coulombic-pola...
With developments of semi-empirical interatomic potentials for realistic materials systems, atomisti...
We introduce a class of interatomic potential models that can be automatically generated from data c...
This thesis deals with the theoretical and computational modelling of materials by using a variety o...