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. 2022 Sep 8;9(10):nwac190. doi: 10.1093/nsr/nwac190

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© The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — The service platform with web browser-based HMI. (A) Machine-reading module for capturing existing knowledge and transferring to machine-understandable structured data by NLP. (B) User-friendly GUI to monitor the status of chemical workstations and robots in real time. (C) Experimental workflow diagram: from scientific hypotheses to workstation status, then to experimental design and template. (D) Experimental data such as electrochemical active surface area and current–voltage curve collected and displayed on the service platform. (E) Experimental archives for building the experimental database and training the prediction model.