Christopher Bartel
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Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials - Nature
Correction to: Nature https://doi.org/10.1038/s41586-023-06734-w Published online 29 November 2023 Following publication of this article, concerns were raised about the unambiguous identification of the compound structures using diffraction as well as the original claims of material novelty.
An autonomous laboratory for the accelerated synthesis of novel materials - Nature
Abstract To close the gap between the rates of computational screening and experimental realization of novel materials1,2, we introduce the A-Lab, an autonomous laboratory for the solid-state synthesis of inorganic powders. This platform uses computations, historical data from the literature, machine learning (ML) and active learning to plan and interpret the outcomes of experiments performed using robotics.
Autonomous and dynamic precursor selection for solid-state materials synthesis - Nature Communications
Abstract Solid-state synthesis plays an important role in the development of new materials and technologies. While in situ characterization and ab-initio computations have advanced our understanding of materials synthesis, experiments targeting new compounds often still require many different precursors and conditions to be tested. Here we introduce an algorithm (ARROWS3) designed to automate the selection of optimal precursors for solid-state materials synthesis.
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