Results 191 to 200 of about 1,507,224 (219)

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

Nanofluidics for osmotic energy conversion

Nature Reviews Materials, 2021
Zhen Zhang, Liping Wen, Zhen Zhang
exaly  

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