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Autonomy and Automation. Computational modeling, reduction, and explanation in quantum chemistry

Lenhard, Johannes (2014) Autonomy and Automation. Computational modeling, reduction, and explanation in quantum chemistry. [Preprint]

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Abstract

This paper discusses how computational modeling combines the autonomy of models with the automation of computational procedures. In particular, the case of ab initio methods in quantum chemistry will be investigated to draw two lessons from the analysis of computational modeling. The first belongs to general philosophy of science: Computational modeling faces a trade-off and enlarges predictive force at the cost of explanatory force. The other lesson is about the philosophy of chemistry: The methodology of computational modeling puts into doubt claims about the reduction of chemistry to physics.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Lenhard, Johannesjohannes.lenhard@uni-bielefeld.de
Keywords: computational modeling, reduction, ab initio, explanation, prediction
Subjects: Specific Sciences > Chemistry
General Issues > Models and Idealization
Depositing User: Johannes Lenhard
Date Deposited: 27 Feb 2014 15:30
Last Modified: 27 Feb 2014 15:30
Item ID: 10369
Subjects: Specific Sciences > Chemistry
General Issues > Models and Idealization
Date: January 2014
URI: https://philsci-archive.pitt.edu/id/eprint/10369

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