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Published June 23, 2020 | Version 0.3
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ilustrado: v0.3

  • 1. University of Cambridge

Description

ilustrado is a Python package that implements a highly-customisable massively-parallel genetic algorithm for ab initio crystal structure prediction (CSP), with a focus on mapping out compositional phase diagrams. The aim of ilustrado was to provide a method of extending CSP results generated with random structure searching (AIRSS) or extrapolating from known chemically-relevant systems (species-swapping/prototyping).

New in v0.3:

  • New keyword: sandbagging. When enabled, fitness penalties will be applied to successive sampling of the same region of composition space. By default, the modifier is a multiplicative factor of 0.95 to all compositions within a hypersphere of radius 0.05.
  • compute_mode='slurm' that makes use of array jobs for "infinite" horizontal scalability
  • improved documentation and examples

Files

ml-evs/ilustrado-v0.3.zip

Files (705.7 kB)

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