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Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

open access: yes
Arthritis Care &Research, EarlyView.
Catherine Deffendall   +6 more
wiley   +1 more source

Nanoscale Mapping Reveals Periodic Organization of Neutrophil Extracellular Trap Proteins. [PDF]

open access: yesNano Lett
Winkler M   +5 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

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Periodic structures in waveguides

Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2002
Summary: We consider structures of period 2 spanning a two-dimensional waveguide of width \(2N\). Scattering problems, where Neumann conditions are imposed on the boundary of the structure and either Neumann or Dirichiet conditions are applied on the guide walls, are decomposed into \(N+1\) independent problems.
Linton, C. M., McIver, M.
openaire   +2 more sources

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