<p>Dear CP2K users and developers,</p>
<p>I am using PLUMED to connect a machine learning force field (MLCG) trained on an ab initio dataset.</p>
<p>I would like to clarify the following point: In a QM/MM calculation in CP2K, if I apply this MLCG force field (via PLUMED) to the MM region, what happens to the QM region and the QM/MM interaction term?</p>
<p>Specifically, I have a coarse-grained (CG) force field for the MM region that is applied through PLUMED. Since this ML-based force field does not include explicit charge information, I am wondering:</p>
<ul>
<li>
<p>Does it have any effect on the QM region itself?</p>
</li>
<li>
<p>How is the QM/MM interaction energy affected?</p>
</li>
<li>
<p>Are the Hellmann–Feynman forces still governing the QM region, or does the MLCG force field influence those calculations?</p>
</li>
<li>
<p>How is the interaction term treated when the MM region is described by a CG machine-learning potential?</p>
</li>
</ul>
<p>I would appreciate any clarification on how CP2K handles the interaction term in this setup.</p>
<p>Best regards,<br />Somayeh Ahmadkhani</p>
<p></p>
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