ArticleJournal of the American Chemical Society2026
SPACESHIP: Autonomous Mapping of Hardware-Dependent Synthesizable Space in Solution-Phase Gold Nanomaterials.
Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Autonomous laboratories hold great promise for accelerating materials discovery but often inherit hidden limits because experimental boundaries have been predefined by human intuition or literature precedents. Such a priori constraints risk excluding feasible regions, particularly since synthesizable conditions can shift with hardware or environmental factors. We present SPACESHIP, an AI framework integrated with automated experimental hardware for adaptive exploration of chemical spaces free from literature- or expert-derived feasibility constraints. Through an AI-based prediction, robotic synthesis, real-time characterization, and model update, SPACESHIP combines probabilistic models with an
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Registered trials
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