Barbara von Hippel

Abstract We propose the artificial intelligence velocimetry-thermometry (AIVT) method to reconstruct a continuous and differentiable representation of the temperature and velocity in turbulent convection from measured three-dimensional (3D) velocity data. AIVT is based on physics-informed Kolmogorov-Arnold networks and trained by optimizing a loss function that minimizes residuals of the velocity data, boundary conditions, and governing equations.

Abstract Human tissues often have a multilayer structure, with each layer performing a distinct physiological task. Reconstructing layered tissue structures with their respective functions is crucial for disease modeling, screening biologically active ingredients, and performing toxicology tests; however, multicellular spheroids used for these purposes generally lack a well-defined multilayer architecture.

Abstract Most of the lung’s gas-exchange surface forms during alveologenesis and its disruption causes bronchopulmonary dysplasia (BPD) in infants, characterized by alveolar simplification and myofibroblast accumulation. BPD also increases the risk of adult emphysema, marked by alveolar loss. Despite this connection, mechanisms linking these conditions and effective treatments are still lacking.