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- W4313278135 abstract "Classic design of experiment relies on a time-intensive workflow that requires planning, data interpretation, and hypothesis building by experienced researchers. Here, we describe an integrated, machine-intelligent experimental system which enables simultaneous dynamic tests of electrical, optical, gravimetric, and viscoelastic properties of materials under a programmable dynamic environment. Specially designed software controls the experiment and performs on-the-fly extensive data analysis and dynamic modeling, real-time iterative feedback for dynamic control of experimental conditions, and rapid visualization of experimental results. The system operates with minimal human intervention and enables time-efficient characterization of complex dynamic multifunctional environmental responses of materials with simultaneous data processing and analytics. The system provides a viable platform for artificial intelligence (AI)-centered material characterization, which, when coupled with an AI-controlled synthesis system, could lead to accelerated discovery of multifunctional materials." @default.
- W4313278135 created "2023-01-06" @default.
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- W4313278135 date "2022-12-28" @default.
- W4313278135 modified "2023-10-18" @default.
- W4313278135 title "Machine Intelligence-Centered System for Automated Characterization of Functional Materials and Interfaces" @default.
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- W4313278135 doi "https://doi.org/10.1021/acsami.2c16088" @default.
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