Fundamental understanding

The high-tech industry is characterized by a constant drive towards precision and miniaturisation. As a result, the demand for increasingly detailed analyses and more refined designs is growing. This complexity, together with the need for short lead times and cost control, puts increasing pressure on development processes. This makes computational physics - the mathematical modelling of physical systems - a crucial work area for Sioux and its customers. It creates understanding about underlying processes and the dynamic behaviour of components. It exposes the causes of process variations and quantifies product performance. Computational physics thus facilitates a strong reduction of expensive design iterations (prototypes) and provides a faster identification of problems in existing processes.

Innovative player

With the rise of artificial intelligence, we can use the available data to create increasingly accurate physical models. Reduced order modelling makes it possible to reproduce systems with complex components within a short time frame, for example for use in a digital twin. The application of complex geometries in high-tech equipment such as 3D printers is increasing. Accurate immersed boundary methods offer a solution during development processes.

Hybrid approach

Computational physics is by definition on the cutting edge of physics, mathematics and software. Sioux has a wide range of relevant expertise in problem solving, for example in the field of heat, mechanics, flow, electromagnetism, chemistry, uncertainties and system behaviour. By combining our knowhow of these competences we arrive at a hybrid approach, which among other things makes the step to optimization very small. This enables us to generate custom solutions; models and software that seamlessly connect to the technology, challenges and wishes of our customers, now and in the future.

Computational Physics

Design through analysis
Modelling and simulation is essential for the realization of advanced systems. Sioux supports the customer from fast custom modelling up to detailed multiphysics simulations, to arrive at the best design solutions.
System behaviour
The performance of high-tech systems is often determined by the interaction of components. Sioux captures the essential behaviour of those components in fast models and enables real-time system analysis using machine learning and reduced order modelling.
Process improvement
The efficiency of production processes is constantly under pressure, for example due to material and product innovations. Custom modelling, sensitivity analysis and root cause analysis quickly provide insight into the cause of possible problems such as machine failure.

Contact our Computational Physics experts