$ loading_
Fit a dual-water-tank battery model to identify aging mechanisms from voltage-capacity data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dual Water Tank MCP" yet — see the docs or source repo.
Use Dual Water Tank MCP to fit the dual-water-tank model to this lithium-ion full-cell charge/discharge voltage-capacity dataset. Return the key parameters, fitting error, and the most likely aging mechanism.
Provides model parameters, error metrics, and an explanation of the likely source of capacity fade.
Use Dual Water Tank MCP to batch process multiple battery cycling voltage-capacity datasets in this folder, fit parameters for each dataset, and summarize aging mechanism classifications and outlier samples.
Outputs a per-sample fitting table, a classification summary, and a list of anomalous datasets.
Call the Dual Water Tank tool via MCP, read newly uploaded battery test data, automatically run model fitting, and generate a results summary suitable for a research report.
Returns automated fitting results and a report-ready summary of the findings.
Batch analyze impedance data with ECM fitting and DRT computation.
Monitor and control SKYRC MC3000 chargers over BLE for automated charging workflows.
Access Bosch eBike Flow data for battery, components, and ride insights.
Design water and wastewater treatment systems using Plutocalc models and calculations
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Simulate wastewater treatment processes in natural language for AI-driven analysis and automation.