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The landing zone - Ground for model transfer in chemistry
1University of South Carolina, Philosophy Department, James F. Byrnes Building, Columbia, SC, 29201, USA.
This study introduces the "landing zone" concept to explain how mathematical models (templates) transfer between scientific fields. A case study in chemistry demonstrates how the topological atom acts as a landing zone for physics templates.
Area of Science:
- Interdisciplinary scientific modeling
- Mathematical physics
- Theoretical chemistry
Background:
- Mathematical models, termed 'templates,' are often transferred across scientific disciplines.
- Successful transfer requires specific formal and conceptual prerequisites.
- Identifying these prerequisites is crucial for advancing interdisciplinary research.
Purpose of the Study:
- To introduce the concept of a "landing zone" as an ontological framework for successful template transfer.
- To explore the conceptual features enabling the generalization of mathematical tools across domains.
- To provide a case study demonstrating the application of the landing zone concept.
Main Methods:
- Conceptual analysis of model transferability.
- Introduction of the "landing zone" as an ontological prerequisite.
- Case study using the Quantum Theory of Atoms in Molecules (QTAIM) in chemistry.
- Examination of transferred templates: the virial theorem and the wave function from physics.
Main Results:
- The "landing zone" is defined as an ontology that facilitates the transfer of mathematical templates.
- In the QTAIM case study, the "topological atom" serves as the landing zone.
- This landing zone justifies the application of the virial theorem and wave function in chemistry.
- It establishes the in-principle stability and representational transformation needed for these templates.
Conclusions:
- The landing zone concept provides a framework for understanding and enabling cross-disciplinary model transfer.
- Ontological innovations, like the topological atom, are key to grounding transferred templates in new scientific contexts.
- This approach enhances the scientific utility of mathematical tools in diverse fields.
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