Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...