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A System-Independent Metadynamics Strategy for Reactive Training Data: Application to Gas-Phase Organic Reactions
General-purpose machine-learning interatomic potentials (MLIPs) for organic reactions need to be accurate on both the minimum energy path (MEP) for static evaluation of basic properties and the broader configurational space for simulating reaction dynamics. Existing general datasets for gas-phase or
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