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. Author manuscript; available in PMC: 2016 Aug 11.
Published in final edited form as: Adv Funct Mater. 2013 Jun 24;23(46):5746–5752. doi: 10.1002/adfm.201301744

Figure 1.

Figure 1

A schematic showing the genomics approach to predicting the thermomechanical response. From left to right shows: MQSPR is used to relate the polymer and nanoparticle surface structure to the polar and dispersive components of the polymer and nanoparticle surface energy. The surface energies are then used to quantitatively predict the dispersion state of the nanoparticles and the properties of the filler/polymer interface. Using Finite Element Analysis (FEA), the microstructure is reconstructed and the filler, polymer, and interphase properties used as input. The FEA provides an a-priori prediction of the thermomechanical properties from MQSPR calculated surface energies.