We have developed a quantum algorithm to solve the advection-diffusion equation (ADE) using the Lattice-Boltzmann method (LBM). This work focuses on leveraging quantum computing to improve simulations in computational fluid dynamics (CFD), starting with simpler models like the ADE, which serves as a foundation for more complex fluid dynamics problems. Our algorithm is designed with four main… [read more]

Researchers from the Technical University of Munich (TUM), in collaboration with Altair, have achieved a significant breakthrough in quantum computing for computational fluid dynamics (CFD). Their work, published in Computer Physics Communications, presents a generic quantum algorithm capable of handling three-dimensional CFD simulations using the Lattice-Boltzmann Method (LBM). This development… [read more]

Machine learning (ML) is transforming the field of computational fluid dynamics (CFD) by addressing the challenges posed by traditional high-fidelity simulations, which often require significant computational resources. At the Technical University of Munich (TUM), under the leadership of Professor Dr. Nikolaus A. Adams, our research team is developing innovative hybrid methods that integrate ML… [read more]

According to current calculations by the Federal Network Agency, expanding the distribution network will cost around 200 billion euros. The key drivers of these costs are the grid integration at the low-voltage level of rooftop photovoltaic systems (consequently their supply to the grid) as well as the ramp-up of heat pumps and electric vehicles (consequently their grid connection). The ideal… [read more]