The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool. MAST is primarily designed to perform automated atomic simulation calculations for diffusion and defect workflows, especially using density functional theory as implemented by the Vienna Ab-initio Simulation Package (VASP). For more information, see the documentation at http://pythonhosted.org/MAST All inquiries to Professor Dane Morgan, ddmorgan@wisc.ed
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Computational diffusion kinetics and its applications in study and design of rare metallic material
Material simulation helps to model load scenarios and processes for existing and yet-to-be-developed...
<p>The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool...
The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool. ...
<p>The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool...
In recent years, commercial computer systems have grown more user friendly, allowing for new users t...
Three datasets are intended to be used for exploring machine learning applications in materials scie...
The development of density functional theory and the tremendous increase of compute power in recent ...
Theory and application of atomistic computer simulations to model, understand, and predict the prope...
One of the challenges with nuclear reactors is choosing materials that can endure intense levels of ...
International audienceWe have developed a Python-based open-source package to analyze the results st...
The molecular dynamics technique was developed in the 1960s as the outgrowth of attempts to model co...
This paper gives a brief review of the simulation techniques used to calculate diffusion coefficient...
The Diffusion Coefficient Tool is an analysis plugin for VMD that computes one, two or three-dimensi...
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Computational diffusion kinetics and its applications in study and design of rare metallic material
Material simulation helps to model load scenarios and processes for existing and yet-to-be-developed...
<p>The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool...
The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool. ...
<p>The MAterials Simulation Toolkit (MAST) is an automated workflow manager and post-processing tool...
In recent years, commercial computer systems have grown more user friendly, allowing for new users t...
Three datasets are intended to be used for exploring machine learning applications in materials scie...
The development of density functional theory and the tremendous increase of compute power in recent ...
Theory and application of atomistic computer simulations to model, understand, and predict the prope...
One of the challenges with nuclear reactors is choosing materials that can endure intense levels of ...
International audienceWe have developed a Python-based open-source package to analyze the results st...
The molecular dynamics technique was developed in the 1960s as the outgrowth of attempts to model co...
This paper gives a brief review of the simulation techniques used to calculate diffusion coefficient...
The Diffusion Coefficient Tool is an analysis plugin for VMD that computes one, two or three-dimensi...
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Computational diffusion kinetics and its applications in study and design of rare metallic material
Material simulation helps to model load scenarios and processes for existing and yet-to-be-developed...