Science
Modern materials discovery necessitates intricate workflows that integrate synthesis, property characterization, formulation, and system-level testing. Often, the required expertise and research infrastructure are dispersed across multiple locations and time zones, which hinders their integration into advanced discovery pipelines. This challenge is particularly pronounced in the context of automated experimentation and data-driven decision-making with artificial intelligence (AI), which usually rely on streamlined flows of data and materials at a single site.
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DOI: https://www.science.org/doi/10.1126/science.adk9227
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