Computational science enables informed decision‑making through digital exploration of the world. The field develops and applies mathematical models, numerical methods, and algorithms to understand, simulate, and predict complex phenomena in nature and society. Insight is generated through simulations and computations just as much as through theory and experiments. Central to the field is the ability to study phenomena that are challenging to investigate experimentally.
Our research develops mathematical models, algorithms, and software used to understand, predict, and optimize complex systems. This is essential for solving challenges and strengthening competitiveness in industry, energy, health, environment, and climate.
Our research includes
- Physics‑based simulations of advanced processes and systems to predict behaviour, reduce risk, and optimize performance in complex technical environments.
- Mathematical models and numerical algorithms for fast and precise computation.
- Hardware‑accelerated algorithms and high‑performance computing, enabling efficient use and development of modern computing architectures and AI models.
- Scalable software and tools for modelling and simulation in industrial and interdisciplinary applications.
- AI‑driven models that combine machine learning with traditional computational methods.
- Quantum computing and quantum algorithms that open new possibilities for computational power.
We develop algorithms that provide deeper insight or optimal solutions to complex problems. This leads to lower risk and smarter decisions, and lays the foundation for sustainable and efficient solutions in a digital world.
The Delta program: The research leaders for tomorrow
