Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

“As we design materials ... The team also sees the potential of their novel machine learning method to predict other rare events, both within and beyond the field of materials science, thanks to its ...

Machine learning (ML) models have become increasingly popular in many kinds of industries due to their ability to make accurate and data-driven predictions ... reveal any potential issues related to ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Scientists are turning to machine learning to predict diseases, design drugs, and uncover hidden patterns in massive datasets ...

MIT researchers have now developed a machine-learning model that can make these predictions in less than a second, with high accuracy. Their model could make it easier for chemists to design ...