1. Introduction
  1.1 Overview of Specialty Inks and Their Applications
  1.2 Objectives and Scope of the Project
2. Fundamentals of Specialty Ink Formulation and Synthesis
  2.1 Composition and Properties of Specialty Ink Formulations
  2.2 Ink Synthesis and Manufacturing Processes
  2.3 Challenges in Process Modeling for Specialty Inks
3. Experimental Data Collection and Model Development
  3.1 Characterization of Ink Components and Rheological Behavior
  3.2 Integration of Experimental Data for Model Parameterization
  3.3 Development of Comprehensive Process Models
4. Computational Fluid Dynamics and Multiphysics Modeling
  4.1 Simulation of Ink Flow and Dispersion in Printing Processes
  4.2 Modeling of Ink-Substrate Interactions and Surface Wetting
  4.3 Multiphysics Modeling of Ink Drying and Curing Processes
5. Machine Learning Approaches for Model Calibration and Prediction
  5.1 Data-Driven Model Calibration and Validation
  5.2 Predictive Modeling of Ink Performance and Print Quality
  5.3 Integration of Experimental and Simulation Data for Model Improvement