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Computational Chemistry as Voodoo Quantum Mechanics : Models, Parameterization, and Software

Wieber, Frederic and Hocquet, Alexandre (2018) Computational Chemistry as Voodoo Quantum Mechanics : Models, Parameterization, and Software. [Preprint]

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Abstract

Computational chemistry grew in a new era of "desktop modeling", which coincided with a growing demand for modeling software, especially from the pharmaceutical industry. Parameterization of models in computational chemistry is an arduous enterprise, and we argue that this activity leads, in this specific context, to tensions among scientists regarding the lack of epistemic transparency of parameterized methods and the software implementing them. To explicit these tensions, we rely on a corpus which is suited for revealing them, namely the Computational Chemistry mailing List (CCL), a professional scientific discussion forum. We relate one flame war from this corpus in order to assess in detail the relationships between modeling methods, parameterization, software and the various forms of their enclosure or disclosure. Our claim is that parameterization issues are a source of epistemic opacity and that this opacity is entangled in methods and software alike. Models and software must be addressed together to understand the epistemological tensions at stake.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Wieber, Frederic0000-0001-7167-9813
Hocquet, Alexandre0000-0001-6361-5780
Subjects: Specific Sciences > Chemistry
Specific Sciences > Computer Science
General Issues > History of Science Case Studies
General Issues > Models and Idealization
General Issues > Science and Society
Depositing User: M Alexandre Hocquet
Date Deposited: 13 Apr 2020 01:24
Last Modified: 13 Apr 2020 01:24
Item ID: 17063
Official URL: https://arxiv.org/abs/1812.00995
Subjects: Specific Sciences > Chemistry
Specific Sciences > Computer Science
General Issues > History of Science Case Studies
General Issues > Models and Idealization
General Issues > Science and Society
Date: December 2018
URI: https://philsci-archive.pitt.edu/id/eprint/17063

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