Abstract:The recent advent of workflows involving high-throughput experimentation techniques, in combination with machine learning optimization, has enabled the accelerated discovery of materials with state-of-the-art properties. However, there remains many other workflows which require measurements of quantities that cannot be easily automated, thereby limiting discovery. In particular, the optimization of the electrical conductivity of doped polymer materials requires laborious measurements. Here, we propose a workfl… Show more
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