Manganese (Mn) is receiving increasing interest as a contaminant of concern in drinking water. It presents both health and aesthetic concerns at different concentrations.
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Today, digital twins can leverage static and live data streams to describe system performance, enable insights, and drive actionable outcomes for users more precisely.
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