ilustrado: v0.3
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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Additional details
Related works
- Is supplement to
- https://github.com/ml-evs/ilustrado/tree/v0.3 (URL)