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Docs: add troubleshooting.md, convergence.md, CONTRIBUTING.md symbolic link, and contributions to changelog (#5522)
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@ -123,10 +123,8 @@ transition-state search machinery; it requires additional method-specific settin
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treated as an ordinary minimization.
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[MAX_ITER](#CP2K_INPUT.MOTION.GEO_OPT.MAX_ITER) limits the number of optimization iterations. One
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optimization iteration can require more than one force evaluation, depending on the optimizer, line
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search, and the selected `CELL_OPT` mode.
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An optimization may terminate if one of the following events takes place:
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optimization iteration can require more than one force evaluation, depending on the optimizer and
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line search mode. An optimization may terminate if one of the following events takes place:
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- The convergence criteria (see below) are satisfied before reaching `MAX_ITER`;
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- The `MAX_ITER` is reached, regardless of whether the convergence criteria are satisfied or not;
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@ -317,6 +315,8 @@ of an `iterate.dat` excerpt is reproduced below.
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9 15 1 0 con 0 1.0D+00 1.2D-02 7.569D-04 -1.152D+00
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```
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### More notes about convergence
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Geometry and cell optimization normally try to lower the energy, but convergence is determined by
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the active force, displacement, and pressure criteria rather than by the total energy alone.
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Intermediate steps may sometimes increase the energy. A very small energy increase at the final step
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@ -466,22 +466,17 @@ geometry updates could make extrapolation unavailable and automatically fall bac
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```{danger}
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**Be responsible, and do not ignore SCF convergence failure blindly.**
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By default, a failure in SCF convergence aborts the program with a message like:
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`SCF run NOT converged. To continue the calculation regardless, please set the keyword
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IGNORE_CONVERGENCE_FAILURE.` Setting
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[IGNORE_CONVERGENCE_FAILURE](#CP2K_INPUT.FORCE_EVAL.DFT.SCF.IGNORE_CONVERGENCE_FAILURE)
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to `.TRUE.` turns it into a warning `SCF run NOT converged` that allows for optimization
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to continue. However, bad SCF convergence leads to unreliable energy, force, and stress
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on the current step, introducing error to the updated structure and the extrapolated
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wavefunction on the next step. An optimization process with most or all steps failing
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to converge SCF cycles does not yield trustworthy results in the end.
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The general issue of SCF convergence is discussed in [](../dft/convergence).
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Bad SCF convergence leads to unreliable energy, force, and stress on the current step,
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introducing error to the updated structure and the extrapolated wavefunction on the next
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step. An optimization process with most or all steps failing to converge SCF cycles does
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not yield trustworthy results in the end. Abnormal behaviors such as structure "blowing up"
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should not come off as surprising if convergence failure is ignored.
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Therefore, `IGNORE_CONVERGENCE_FAILURE` should only be considered as a **last resort**
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out of desperation, rather than a universal remedy used on a regular basis or even as
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the default. There are dozens of measures available towards SCF convergence on top of
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a realistic, chemically sensible model structure and appropriate net charge, spin
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multiplicity, atomic magnetization, and k-point sampling; please try achieving SCF
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convergence on the starting structure in a single-point calculation in the first place.
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Preparing a nice starting structure in the first place is more reliable than using a crude
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structure and wishing that it becomes easier to converge SCF cycles as optimization goes.
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A single-point energy calculation of the starting structure can be utilized to experiment
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with options that achieve convergence as well as to assess the time consumption.
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```
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## Output files and restarts
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