What pitfall related to simulation data must practitioners manage carefully when integrating it into MI models?
Answer
The MI model can inherit and amplify errors if the underlying physics model used for simulation has known limitations.
If the physical model, such as an interatomic potential used in molecular dynamics, fails under certain conditions (like high temperature), the machine learning model trained on that data will adopt those inherent limitations when searching wider parameter spaces.
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