  In this paper, we incorporate processing into the data driven property
modeling of Li-based spinel battery materials. When considering spinel
compounds of the form LiMe2O4 with Me as a metal or metals, there are 125,000
possible combinations assuming a maximum of three metallic elements. In this
work, we focus on capacity for our predicted property, and increase the number
of possible combinations to two million by incorporating processing into the
modeling. Due to the non-linear relationship between processing and property,
as well as ensuring proper sensitivity, a new approach which tracks the change
with changing processing is introduced. This work provides an invaluable tool
for guiding the next generation of battery experiments, providing a significant
narrowing of the infinite design space.
