D Rodney, A Tanguy… - Modelling and Simulation …, 2011 - iopscience.iop.org
We review the recent literature on the simulation of the structure and deformation of amorphous solids, including oxide and metallic glasses. We consider simulations at different …
PM Larsen, S Schmidt, J Schiøtz - Modelling and Simulation in …, 2016 - iopscience.iop.org
Successful scientific applications of large-scale molecular dynamics often rely on automated methods for identifying the local crystalline structure of condensed phases. Many existing …
A set of modified embedded-atom method (MEAM) potentials for the interactions between Al, Si, Mg, Cu, and Fe was developed from a combination of each element's MEAM potential in …
We show that a number of model liquids at fixed volume exhibit strong correlations between equilibrium fluctuations of the configurational parts of (instantaneous) pressure and energy …
pycalphad: CALPHAD-based Computational Thermodynamics in Python Page 398 Chapter 16 pycalphad: CALPHAD-Based Computational Thermodynamics in Python Richard Otis and …
A Malins, SR Williams, J Eggers… - The Journal of chemical …, 2013 - pubs.aip.org
We describe the topological cluster classification (TCC) algorithm. The TCC detects local structures with bond topologies similar to isolated clusters which minimise the potential …
G Duan, D Xu, Q Zhang, G Zhang, T Cagin… - Physical Review B …, 2005 - APS
We have identified a binary bulk metallic glass forming alloy Cu 46 Zr 54 by analyzing the structure and thermal behaviors of copper mold cast samples using x-ray diffraction …
The software package ESPEI has been developed for efficient evaluation of thermodynamic model parameters within the CALPHAD method. ESPEI uses a linear fitting strategy to …
We study the statistics of plastic rearrangement events in a simulated amorphous solid at T= 0. Events are characterized by the energy release and the “slip volume”, the product of …