Building effective models from sparse but precise data: Application to an alloy cluster expansion model
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چکیده
منابع مشابه
Building effective models from sparse but precise data: Application to an alloy cluster expansion model
A common approach in computational science is to use a set of highly precise but expensive calculations to parameterize a model that allows less precise but more rapid calculations on larger-scale systems. Leastsquares fitting on a model that underfits the data is generally used for this purpose. For arbitrarily precise data free from statistic noise, e.g., ab initio calculations, we argue that...
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ژورنال
عنوان ژورنال: Physical Review B
سال: 2010
ISSN: 1098-0121,1550-235X
DOI: 10.1103/physrevb.81.012104