Semiconductor Process and Device Simulation (TCAD) is the computational engineering discipline that uses physics-based numerical models to simulate every step of semiconductor fabrication (process simulation) and predict the resulting electrical behavior (device simulation) — enabling engineers to explore process changes, optimize device architectures, and predict performance without fabricating physical wafers, saving months of cycle time and millions of dollars per design iteration.

What TCAD Simulates

TCAD (Technology Computer-Aided Design) encompasses two tightly-linked simulation domains:

Process Simulation: Models each fabrication step in sequence:

• Ion Implantation: Monte Carlo simulation of ion trajectories through the crystal lattice, modeling energy loss, scattering, channeling, and damage accumulation. Predicts 3D dopant profiles with nm-scale accuracy.
• Diffusion and Activation: Solves the coupled partial differential equations governing dopant diffusion, point defect generation/recombination, and electrical activation during thermal anneals. Models TED (Transient Enhanced Diffusion) from implant damage.
• Oxidation: Stefan-condition moving-boundary simulation of silicon oxidation (Deal-Grove model and extensions), including stress-dependent oxidation rate at corners and narrow structures.
• Deposition and Etch: Level-set or cell-based methods simulate conformal/non-conformal film deposition and isotropic/anisotropic etch with realistic profile evolution.
• CMP: Surface-evolution models with pattern-density-dependent removal rates predict post-CMP topography including dishing and erosion.

Device Simulation: Takes the process-simulated structure and solves:

• Drift-Diffusion Equations: Poisson's equation coupled with electron and hole continuity equations (the semiconductor device equations). Sufficient for planar devices and moderate fields.
• Hydrodynamic/Energy Transport: Extends drift-diffusion with carrier temperature to model hot-carrier effects and velocity overshoot in short channels.
• Quantum Mechanical Corrections: Density-gradient or Schrödinger-Poisson models account for quantum confinement in FinFET fins and nanosheet channels where classical models fail.
• Monte Carlo Transport: Full-band Monte Carlo simulation of carrier transport for the most accurate results, used for calibration and research.

How TCAD Is Used in Practice

• Technology Development: Explore the design space of new transistor architectures (e.g., nanosheet vs. forksheet vs. CFET) before committing silicon.
• Process Optimization: Determine the sensitivity of device parameters (Vth, Idsat, Ioff) to each process variable (implant dose, anneal temperature, fin width) through virtual Design of Experiments (DOE).
• Compact Model Extraction: Generate I-V and C-V data across a range of geometries to calibrate SPICE compact models (BSIM-CMG) for circuit simulation.

TCAD Simulation is the semiconductor industry's crystal ball — predicting the outcome of fabrication experiments that would take months and cost millions if performed physically, enabling engineers to arrive at the fab with optimized recipes on the first silicon run.