Recently, I have been researching machine learning reverse design of polymer materials. However, I lack an initial set of data to train the machine learning model. Does the researcher reviewing this request has a database of silicone rubber thermal conductivity (including monomer composition, polymerization method, filler, thermal conductivity, etc.)? Thank you in advance.
Dear Kangrui Yuan many thanks for your interesting technical question. As an inorganic chemist I'm not a proven expert in this field. However, I can suggest to you the following relevant articles which might help you in your analysis:
Thermal Conductivity Modeling using Machine Learning Potentials: Application to Crystalline and Amorphous Silicon
https://arxiv.org/pdf/1907.09088.pdf
Materials discovery and properties prediction in thermal transport via materials informatics: a mini-review
https://arxiv.org/pdf/1901.04133.pdf
http://www.mit.edu/~6.777/matprops/pdms.htm datasheet on poly(dimethyl siloxane), the thermal conductivity according to this database is 0.15 W/m.K. I have to warn you, however, that silicone rubber is a formulated product, not pure poly(dimethyl siloxane), which contains various amounts of silica aerogel (Aerosil and the like) and mostly other, inactive fillers (as micro-silica) which shift the conductivity towards higher values. There are several formulated silicone rubbers for thermal pads (containing BN, TiN etc. fillers) with substantially higher thermal conductivity.
Hi. I think the following website could help you:
Article Thermal conductivity of filled silicone rubber and its relat...
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