Predicting the fleeting transition states of chemical reactions once demanded immense computing power — but a breakthrough from MIT researchers changes the game. With their new machine-learning model, chemists can now forecast reaction pathways in under a second, opening new possibilities for faster, greener innovation in drug development, fuel production, and beyond.
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