Molecular property prediction has been widely considered as one of the most critical tasks in computational drug and materials discovery, as many methods rely on predicted molecular properties to ...

Generative deep learning methods have recently been proposed for generating 3D molecules using equivariant graph neural networks (GNNs) within a denoising diffusion framework. However, such methods ...

image: Researchers from MIT and the MIT-Watson AI Lab have developed a unified framework that uses machine learning to simultaneously predict molecular properties and generate new molecules using only ...

Crystals reveal the hidden geometry of molecules to the naked eye. Scientists use crystals to figure out the atomic structure of new materials, but many materials can't be grown large enough. Now, a ...

Note: This video is designed to help the teacher better understand the lesson and is NOT intended to be shown to students. It includes observations and conclusions that students are meant to make on ...

A new framework uses machine learning to simultaneously predict molecular properties and generate new molecules using only a small amount of data for training ...