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  1. Knowledge-based systems
  2. Discrete element model (DEM)
  3. Particle adhesion
  4. Van der waals force
  5. Hamaker constants
  6. Process modeling
  7. Particle-based computations
  8. Molecular modeling
  9. Johanson's model
  10. Roller compaction
  11. Statistical model building
  12. Dry granulation
  13. Visualization
  14. Active pharmaceutical ingredient (API)
  15. Surface roughness
  16. Fast fourier transform
  17. Crystal graph

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Statistical Model Building and Design of Experiments

By Gary Blau

Purdue University

Topics covered in this module include Quantification of Uncertainty in Experimental data and impact on model analysis using Probability Theory Review of Statistics for building Statistical Models (Multilinear Regression analysis) Design …

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