A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

A team from Jiuhua Laboratory in China has developed a novel "Electronic Structure-Infused Network (ESIN)" model that accurately predicts the photoluminescence quantum yield (PLQY) of organic ...

A research team at Kumamoto University has developed a deep learning-based method for analyzing the cytoskeleton—the structural framework inside cells—more accurately and efficiently than ever before.

Unsupervised machine learning and deep neural networks were then applied to correlate molecular topographies and energy distributions.