Aggregation-diffusion equations and gradient flows form a dynamic field of study at the intersection of mathematical analysis, statistical mechanics and applied physics. These equations characterise ...
Mathematical modelling has emerged as an indispensable tool in understanding and optimising biosensor performance and reaction-diffusion processes. By coupling differential equations that describe ...
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...
New work describes vital aspects of diffusion processes in tissue development, including the roles that molecular diffusion gradients have on stem cell signaling pathways along with new modeling tools ...
A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.
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