Monte Carlo (MC) simulations of lattice models are a widely used way to compute thermodynamic properties of substitutional alloys. A limitation to their more widespread use is the difficulty of driving a MC simulation in order to obtain the desired quantities. To address this problem, we have devised a variety of high-level algorithms that serve as an interface between the user and a traditional MC code. The user specifies the goals sought in a high-level form that our algorithms convert into elementary tasks to be performed by a standard MC code. For instance, our algorithms permit the determination of the free energy of an alloy phase over its entire region of stability within a specified accuracy, without requiring any user intervention ...
have been used in computer simulations in many different fields of knowledge. Grain growth simulatio...
We significantly improve the physical models underlying atomistic Monte Carlo (MC) simulations, thro...
ii There are few reliable computational techniques applicable to the problem of structural phase beh...
Large-scale simulations of dynamic processes at the atomic level have developed into one of the main...
Although the formalism that allows the calculation of alloy thermodynamic properties from first-pri...
Devising a computational tool that assesses the thermodynamic stability of materials is among the mo...
There are few reliable computational techniques applicable to the problem of structural phase behavi...
We present an extension of the semi-grand-canonical (SGC) ensemble that we refer to as the variance-...
We extend the nested sampling algorithm to simulate materials under periodic boundary and constant p...
A theoretical multi-scale approach based on the cluster expansion (CE) has been developed to aid mat...
Covering the solid lattice with a finite-element mesh produces a coarse-grained system of mesh nodes...
In this lecture we presented a methodology to obtain free energies from empirical potentials and app...
Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been...
AbstractCalculating thermodynamic potentials and observables efficiently and accurately is key for t...
Methods for simulating solid crystalline phases are generally not as straightforward as those for fl...
have been used in computer simulations in many different fields of knowledge. Grain growth simulatio...
We significantly improve the physical models underlying atomistic Monte Carlo (MC) simulations, thro...
ii There are few reliable computational techniques applicable to the problem of structural phase beh...
Large-scale simulations of dynamic processes at the atomic level have developed into one of the main...
Although the formalism that allows the calculation of alloy thermodynamic properties from first-pri...
Devising a computational tool that assesses the thermodynamic stability of materials is among the mo...
There are few reliable computational techniques applicable to the problem of structural phase behavi...
We present an extension of the semi-grand-canonical (SGC) ensemble that we refer to as the variance-...
We extend the nested sampling algorithm to simulate materials under periodic boundary and constant p...
A theoretical multi-scale approach based on the cluster expansion (CE) has been developed to aid mat...
Covering the solid lattice with a finite-element mesh produces a coarse-grained system of mesh nodes...
In this lecture we presented a methodology to obtain free energies from empirical potentials and app...
Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been...
AbstractCalculating thermodynamic potentials and observables efficiently and accurately is key for t...
Methods for simulating solid crystalline phases are generally not as straightforward as those for fl...
have been used in computer simulations in many different fields of knowledge. Grain growth simulatio...
We significantly improve the physical models underlying atomistic Monte Carlo (MC) simulations, thro...
ii There are few reliable computational techniques applicable to the problem of structural phase beh...