<div>Hi,</div><div>I am not quite sure which MOLOPT auxiliary basis sets you are referring to. CP2K does not have preoptimized RI basis sets for HFX but for RI-MP2, RI-RPA, GW and separate ones for the LRIGPW-approach only. The recommendation is to use automatically generated basis instead (see https://manual.cp2k.org/cp2k-2025_2-branch/methods/dft/hartree-fock/ri_gamma.html). In case of all-electron calculations, you can employ those corresponding to the primary basis set from https://www.basissetexchange.org/.</div><div>HTH,</div><div>Frederick</div><div class="gmail_quote"><div dir="auto" class="gmail_attr">yj jiang schrieb am Donnerstag, 30. Oktober 2025 um 14:21:33 UTC+1:<br/></div><blockquote class="gmail_quote" style="margin: 0 0 0 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">Hello everyone,<br><br>I am implementing Density Fitting (DF) for Hybrid DFT using the MOLOPT basis set.<br><br>My reference, PySCF, uses the Even-Tempered Basis (ETB) to generate the auxiliary basis set (auxbasis). This ETB is extremely large, often over 10 times the size of the primary basis, making the calculation highly inefficient.<br><br>I am seeking a method to generate a more compact auxbasis. I know MOLOPT basis come from CP2K, so come here for some help.<br><br>Could anyone provide references or specific details on:<br><br>CP2K's strategy for generating these compact MOLOPT auxiliary basis sets (i.e., the recipe that avoids the oversized ETB)?<br><br>Any specific parameters (like geometric progression rules) that could replace the default PySCF ETB for MOLOPT while maintaining accuracy?<br><br>Thanks for any guidance!</blockquote></div>
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