Abstract: Accurate and interpretable modeling of multivariate systems is critical in a wide range of scientific and engineering domains, including fluid dynamics, material modeling, and biological ...
Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
A prototype hybrid quantum-classical Quantum Lattice Boltzmann Method (QLBM) solver for the 2D Convecting Taylor-Green Vortex (TGV) benchmark, developed for the Airbus Global Quantum + AI Challenge ...
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