Version 12 of XtalOpt, an evolutionary algorithm for crystal structure prediction, is now available for download from the CPC program library or the XtalOpt website, http://xtalopt.github.io. The new version includes: a method for calculating hardness using a machine learning algorithm within AFLOW-ML (Automatic FLOW for Materials Discovery — Machine Learning), the ability to predict hard materials, a generic optimizer (which allows the user to employ many optimizers that were previously not supported), and the ability to generate simulated XRD (X-ray diffraction) patterns
A genetic algorithm is used as the basis of a new technique for crystal structure solution from powd...
Production of diffracting crystals is a critical step in determining the three-dimensional structure...
Abstract When a sample’s X-ray diffraction pattern (XRD) is measured, the corresponding crystal stru...
Version 12 of XtalOpt, an evolutionary algorithm for crystal structure prediction, is now available ...
A new version of XtalOpt, an evolutionary algorithm for crystal structure prediction, is available f...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
Version 11 of XtalOpt, an evolutionary algorithm for crystal structure prediction, has now been made...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
www.elsevier.com/locate/cpc We approach the problem of computational crystal structure prediction, i...
Obtaining diffraction quality crystals remains one of the major bottlenecks in structural biology. T...
This article describes the application of our distributed computing framework for crystal structure ...
The layout of the thesis is as follow: In Chapter 1, we present the theoretical background of DFT, P...
Ab initio methods allow a more or less straightforward prediction of numerous physical properties of...
The problem of determining inorganic crystal structures with a large number of atoms from powder dif...
A genetic algorithm is used as the basis of a new technique for crystal structure solution from powd...
Production of diffracting crystals is a critical step in determining the three-dimensional structure...
Abstract When a sample’s X-ray diffraction pattern (XRD) is measured, the corresponding crystal stru...
Version 12 of XtalOpt, an evolutionary algorithm for crystal structure prediction, is now available ...
A new version of XtalOpt, an evolutionary algorithm for crystal structure prediction, is available f...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
Version 11 of XtalOpt, an evolutionary algorithm for crystal structure prediction, has now been made...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
www.elsevier.com/locate/cpc We approach the problem of computational crystal structure prediction, i...
Obtaining diffraction quality crystals remains one of the major bottlenecks in structural biology. T...
This article describes the application of our distributed computing framework for crystal structure ...
The layout of the thesis is as follow: In Chapter 1, we present the theoretical background of DFT, P...
Ab initio methods allow a more or less straightforward prediction of numerous physical properties of...
The problem of determining inorganic crystal structures with a large number of atoms from powder dif...
A genetic algorithm is used as the basis of a new technique for crystal structure solution from powd...
Production of diffracting crystals is a critical step in determining the three-dimensional structure...
Abstract When a sample’s X-ray diffraction pattern (XRD) is measured, the corresponding crystal stru...