
Deployable deep learning for flow-field reconstruction: sparse measurements, physical credibility, and generalization
<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxQNE5EUGlFejlEaTRYdTVkVTNNcEpvY0lrVmZLMjBkdVR0T3hVcXlFU29icmhBdDY5YmVKbzhJbjNZS25EZnhQeDhBVUhfLXEwR21kcHh2eWhfYldrTTRCNzNqUks0UEhjbDRTWWdOVTNRaFh6TXYxV25KLVFoSGZsNVk5YjY0T1lERlNEWk45d2VWeTBpTzYyeDJjSVZKVTlHMnc?oc=5" target="_blank">Deployable deep learning for flow-field reconstruction: sparse measurements, physical credibility, and generalization</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>
