This research presents a method based on deep learning for the reverse design of sound-absorbing structures. Traditional methods require time-consuming individual numerical simulations followed by ...

This study presents a deep learning framework for the forward prediction of band structures and the inverse design of metamaterials. For forward prediction, a convolutional neural network is trained ...

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...