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Digital twin for Pharma Industry Process
Digital twin for Pharma Industry Process
Significant reduction in experimentation required for new formulation development with Digital Twin
Challenges & Objective
Adopting scientific computing solver has challenges due to limitations with time and additional skills requirement
Absence of centralized & consistent
Simulation data is unmanaged; challenges in deriving value
Solution
All correlations made available via easy interface
Managed & integrated materials and equipment data
Automated scientific computing workflow with post processing
Integrated ML models behind easy GUI for execution and prediction