Technical University of Denmark
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Data for AMPERE-2 opentron

dataset
posted on 2025-05-01, 13:41 authored by Nis Fisker-BødkerNis Fisker-Bødker

Start out with reading the "Readme.xlsx".

This dataset supports the publication "Democratizing self-driving lab platform for electrodeposition of catalyst and electrochemical validation" in Digital Discovery. It presents data focusing on a robotic platform, an Opentrons OT-2, which was used for the automated electrodeposition of Oxygen Evolution Reaction (OER) catalysts. The metals used in the catalyst synthesis include chloride solutions of Nickel (Ni), Iron (Fe), Chromium (Cr), Manganese (Mn), Cobalt (Co), Zinc (Zn), and Copper (Cu).


The dataset comprehensively includes all data, scripts, and images related to the **electrochemical testing and SEM-EDS characterization** of the synthesized catalysts. Key contents are organized into folders containing electrochemical potentiostatic data (raw data and plots from Cyclic Voltammetry (CV), Chronopotentiometry (CP), and Electrochemical Impedance Spectroscopy (EIS)), Energy Dispersive X-ray Spectroscopy (EDS) data (combined SEM-EDS plots, individual element maps, and elemental spectra), and Scanning Electron Microscopy (SEM) images and metadata. **3D CAD files** necessary for reproducing the experimental setup are also included.


Each sample within the dataset includes a sequence of measurements encompassing the "electrodeposition phase"(indicated by negative numbers) and the "OER testing phase" (indicated by positive numbers). For analysis and drawing conclusions, focusing on the CP data at 20 mA/cm² and 50 mA/cm² is recommended, while data at 100 mA/cm² may be influenced by bubble artifacts, and data below 10 mA/cm² may show dominant surface oxidation effects. Data files contain columns for Timestamp, Voltage (V), Current (A), Temperature (C), and Corrected Voltage (V) for CV and CP, and detailed impedance parameters for EIS data.

Funding

Pioneer Center for Accelerating P2X Materials Discovery (CAPeX)

DNRF grant number P3 at the Technical University of Denmark (DTU) through a Digital Ph.D. scholarship

Independent Research Foundation Denmark (0217-00326B)

University of Toronto Acceleration Consortium from the Canada First Research Excellence Fund (Grant number CFREF-2022-00042)

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