Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels

3 Jun 2020Marcus M. NoackGregory S. DoerkRuipeng LiJason K. StreitRichard A. VaiaKevin G. YagerMasafumi Fukuto

A majority of experimental disciplines face the challenge of exploring large and high-dimensional parameter spaces in search of new scientific discoveries. Materials science is no exception; the wide variety of synthesis, processing, and environmental conditions that influence material properties gives rise to particularly vast parameter spaces... (read more)

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