Chapter 14 - Evolutionary Algorithms Applied to Electronic-Structure Informatics: Accelerated Materials Design Using Data Discovery vs. Data Searching
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- @InCollection{Johnson:2013:IMSE,
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author = "Duane D. Johnson",
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title = "Chapter 14 - Evolutionary Algorithms Applied to
Electronic-Structure Informatics: Accelerated Materials
Design Using Data Discovery vs. Data Searching",
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editor = "Krishna Rajan",
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booktitle = "Informatics for Materials Science and Engineering",
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publisher = "Butterworth-Heinemann",
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address = "Oxford",
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year = "2013",
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pages = "349--364",
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isbn13 = "978-0-12-394399-6",
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DOI = "doi:10.1016/B978-0-12-394399-6.00014-X",
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URL = "http://www.sciencedirect.com/science/article/pii/B978012394399600014X",
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abstract = "We exemplify and propose extending the use of genetic
programs (GPs) - a genetic algorithm (GA) that evolves
computer programs via mechanisms similar to genetics
and natural selection - to symbolically regress key
functional relationships between materials data,
especially from electronic structure. GPs can extract
structure-property relations or enable simulations
across multiple scales of time and/or length. Uniquely,
GP-based regression permits {"}data discovery{"} -
finding relevant data and/or extracting correlations
(data reduction/data mining) - in contrast to searching
for what you know, or you think you know (intuition).
First, catalysis-related materials correlations are
discussed, where simple electronic-structure-based
rules are revealed using well-developed intuition, and
then, after introducing the concepts, GP regression is
used to obtain (i) a constitutive relation between flow
stress and strain rate in aluminium, and (ii)
multi-time-scale kinetics for surface alloys. We close
with some outlook for a range of applications
(materials discovery, excited-state chemistry, and
multiscaling) that could rely primarily on density
functional theory results.",
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keywords = "genetic algorithms, genetic programming, Electronic
structure, Density functional theory, Evolutionary
algorithms, Genetic programs, Informatics",
- }
Genetic Programming entries for
Duane D Johnson
Citations