Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction
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Infrared (IR) spectroscopy is a pivotal analytical tool as it provides real-time molecular insight into material structures and enables the observation of reaction intermediates in situ. However, interpreting IR spectra often requires high-fidelity simulations... ...
