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Thesis

Chemical Composition, Thermodynamics, and Recycling: The Beginnings of Predictive Behavioral Modeling for Ancient Copper-based Systems

Abstract:

In their attempts to understand the unwritten past of human technology and progression, archaeologists have borrowed aspects of the natural sciences to answer big questions. In one such pursuit, fundamental aspects of the sciences have been employed towards the chemical compositional analysis of copper-based artifacts, often to simply classify which is bronze, brass, or pure copper, and to explain why they are significant in limited space and time. This thesis takes the variety of identified ...

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Division:
SSD
Department:
School of Archaeology
Role:
Author

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Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
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UUID:
uuid:91a4426b-8232-4f85-a39b-69e6c01c327c
Deposit date:
2017-08-04

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