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Found 3 papers, 3 papers with code
Computational design of antimicrobial active surfaces via automated Bayesian optimization
Designing customized nano-surfaces with different surface topologies can alter the adhesive properties to remove biofilms more easily and greatly improve long-term biofilm control.
Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning
The depth and width of the neural network structure do not greatly change the convergence of PIDOC based on case studies of van der Pol systems with low and high nonlinearities.
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning
We apply the traditional DNN and our BubbleNet to train the coarsened simulation data and predict the physics fields of both the two bubbly flow cases.
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