process digital twin

**Process Digital Twin** is a **real-time simulation model of a specific manufacturing process step** — combining physics-based models with inline measurement data to predict process outcomes, optimize recipes, and enable model-based process control. **Key Capabilities** - **Forward Prediction**: Given recipe inputs, predict outputs (film thickness, CD, composition, uniformity). - **Inverse Optimization**: Given desired outputs, find the optimal recipe inputs. - **Real-Time Calibration**: Continuously update model parameters with actual measurement data. - **Sensitivity Analysis**: Identify which recipe parameters most strongly affect each output. **Why It Matters** - **Recipe Development**: Accelerates recipe development by reducing the number of physical experiments. - **Process Transfer**: Transfer recipes between tools by adjusting for tool-specific differences via the digital twin. - **Predictive Quality**: Predict wafer quality from recipe parameters before measurement results are available. **Process Digital Twin** is **the process in silico** — a calibrated, real-time simulation of each process step for prediction, optimization, and control.