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Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
by
Probert, Matt I.J.
, Hasnip, Phil J.
, Higgins, Edward J.
in
ab initio
/ Approximation
/ Crystal structure
/ DFT
/ Energy
/ genetic algorithm
/ Genetic algorithms
/ Geometry
/ global optimisation
/ Global optimization
/ half-Heusler alloy
/ Heusler alloy
/ Heusler alloys
/ magnetic Lennard–Jones
/ magnetic materials
/ Magnetic properties
/ Magnetic structure
/ Population
/ Simulation
/ structural fingerprint
/ structure prediction
/ Substrates
2019
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Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
by
Probert, Matt I.J.
, Hasnip, Phil J.
, Higgins, Edward J.
in
ab initio
/ Approximation
/ Crystal structure
/ DFT
/ Energy
/ genetic algorithm
/ Genetic algorithms
/ Geometry
/ global optimisation
/ Global optimization
/ half-Heusler alloy
/ Heusler alloy
/ Heusler alloys
/ magnetic Lennard–Jones
/ magnetic materials
/ Magnetic properties
/ Magnetic structure
/ Population
/ Simulation
/ structural fingerprint
/ structure prediction
/ Substrates
2019
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Do you wish to request the book?
Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
by
Probert, Matt I.J.
, Hasnip, Phil J.
, Higgins, Edward J.
in
ab initio
/ Approximation
/ Crystal structure
/ DFT
/ Energy
/ genetic algorithm
/ Genetic algorithms
/ Geometry
/ global optimisation
/ Global optimization
/ half-Heusler alloy
/ Heusler alloy
/ Heusler alloys
/ magnetic Lennard–Jones
/ magnetic materials
/ Magnetic properties
/ Magnetic structure
/ Population
/ Simulation
/ structural fingerprint
/ structure prediction
/ Substrates
2019
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Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
Journal Article
Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
2019
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Overview
We introduce a number of extensions and enhancements to a genetic algorithm for crystal structure prediction, to make it suitable to study magnetic systems. The coupling between magnetic properties and crystal structure means that it is essential to take a holistic approach, and we present for the first time, a genetic algorithm that performs a simultaneous global optimisation of both magnetic structure and crystal structure. We first illustrate the power of this approach on a novel test system—the magnetic Lennard–Jones potential—which we define. Then we study the complex interface structures found at the junction of a Heusler alloy and a semiconductor substrate as found in a proposed spintronic device and show the impact of the magnetic interface structure on the device performance.
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