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@jinzhta jinzhta commented Oct 10, 2025

This is the version I used for training/running scider calculations (date: 2025-10-10 16:19)

kylebystrom and others added 15 commits June 10, 2025 04:05
…n fill_feat_ to avoid training paused (seen in execution_train_2025-04-22-02-42-39)
…tements. This version works for training complete band-gap scider model (trained with molecules and solids data), see execution_train_2025-05-16-05-38-54; But different from misc_fixes_and_misc branch commit ab4295a because this commit uses dbaseline[orb] += np.sum(da[s] * drho_tmp) in MOLGP2 instead of dbaseline[orb] += np.sum(da[s] * drho_tmp * wt)
….py to avoid 'NLDF exponent is too large' error when running cider dft calculation
… libxc_baselines.c and add arguments in different functions in Kernel related functions to pass omega all the way to libxc) and re-cmake
…camke again with new CMakeLists.txt (compared with fix_sl_feat branch) and link ciderpress to my local libxc-6.2.2 instead of downloading libxc-7.0.0
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2 participants