Industrial laser processes are still largely optimized through empirical parameter studies. This trial and error approach limits scalability, slows development cycles, and makes transferring process knowledge between applications difficult. We present a universal physics based digital twin framework that enables predictive simulation of laser material processing across a wide range of length and time scales. The framework covers macro processes such as laser beam welding, additive manufacturing, and cutting, as well as micro processes including drilling and cutting with short and ultrashort laser pulses across a broad range of materials from metals to semiconductors and insulating materials.

The approach is based on a unified multiphysics description of compressible melt flow, evaporation driven dynamics, and phase transitions. Because the governing physics are resolved consistently, the simulations remain predictive when processing conditions change and do not require repeated recalibration of empirical model parameters. This enables the creation of a virtual process development environment in which process behavior, defect formation mechanisms, and parameter sensitivities can be investigated systematically.

The resulting capabilities support rapid root cause analysis, accelerated process optimization, and virtual exploration of processing windows that would otherwise require extensive experimental campaigns. Robust validation, intuitive preprocessing workflows, and automated postprocessing make this unified simulation framework accessible beyond expert users. The presented approach therefore provides a practical pathway toward broad industrial adoption of predictive digital twins for laser based manufacturing.