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AI models can predict reaction outcomes and refine chemical conditions, allowing chemists to simulate reactions virtually before testing them in the lab. AI algorithms can analyze large amounts of chemical data to make predictions about properties such as reactivity, solubility, and toxicity. This helps to quickly identify promising candidates for drugs, catalysts, and materials.

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