  Functional composite thin films have a wide variety of applications in
flexible and/or electronic devices, telecommunications and multifunctional
emerging coatings. Rapid screening of their properties is a challenging task,
especially with multiple components defining the targeted properties. In this
work we present a manifold for accelerated automated screening of viscous
graphene suspensions for optimal electrical conductivity. Using Opentrons OT2
robotic auto-pipettor, we tested 3 most industrially significant surfactants -
PVP, SDS and T80 - by fabricating 288 samples of graphene suspensions in
aqueous hydroxypropylmethylcellulose. Enabled by our custom motorized 4-point
probe measurement setup and computer vision algorithms, we then measured
electrical conductivity of every sample using custom and identified that the
highest performance is achieved for PVP-based samples, peaking at 10.4 mS/cm.
The automation of the experimental procedure allowed us to perform majority of
the experiments using robots, while involvement of human researcher was kept to
minimum. Overall the experiment was completed in less than 18 hours, only 3 of
which involved humans.
