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 ...
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A new generative AI approach to predicting chemical reactions improves accuracy and reliability
Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to predict the outcomes of new chemical reactions. These have had limited ...
The GraSSCoL framework consists of three stages: pre-processing, generation, and re-ranking. Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh ...
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