Convergence Issues Troubleshooting Skill

SkillDev tools

This returns SCF energy per iteration and forces per ionic step, making it easy to see whether the problem is electronic or ionic.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Convergence Issues Troubleshooting Skill skill

About this capability

Diagnose and fix SCF and ionic convergence failures in VASP and ORCA. Covers ALGO, mixing parameters, ISMEAR, NELM, EDIFFG, NSW, and IBRION settings.

What this skill tells your AI

The instructions your AI receives, as published by hello-qm/catgo-lrg in server/catgo/workflow/skills/troubleshooting/convergence_issues/SKILL.md and read by ahel’s review.

When to Use

Use this skill when:

  • A calculation finishes but did not converge (warnings in output)
  • SCF (electronic) iterations hit NELM without converging
  • Ionic relaxation oscillates or does not reach force threshold
  • Energy keeps changing between ionic steps
  • ORCA SCF or geometry optimization fails to converge

Diagnostic Step

Always start by checking the convergence history:

catgo_analyze(action: "convergence", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>"
})

This returns SCF energy per iteration and forces per ionic step, making it easy to see whether the problem is electronic or ionic.


SCF (Electronic) Convergence

Symptoms

  • "NELM reached" warning in VASP output
  • Energy oscillates or diverges across SCF iterations
  • ORCA prints "SCF NOT CONVERGED"

VASP SCF Fixes

Fix 1: Change mixing algorithm (ALGO)
ALGO valueMethodBest for
NormalDavidsonSimple semiconductors, insulators
FastDavidson + RMM-DIISDefault, most systems
AllDavidson + RMM-DIIS (combined)Difficult metals, surfaces
DampedDamped velocityVery difficult convergence
VeryFastRMM-DIIS onlyLarge systems (>500 atoms)
catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "ALGO": "All" }
})
Fix 2: Adjust charge density mixing (AMIX/BMIX)

Default values work for most bulk systems. For surfaces, slabs, molecules in vacuum, or magnetic systems, reduce mixing:

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: {
    "AMIX": 0.1,
    "BMIX": 0.01,
    "AMIX_MAG": 0.2,
    "BMIX_MAG": 0.01
  }
})

Lower AMIX = more conservative mixing = slower but more stable convergence.

Fix 3: Increase maximum SCF steps (NELM)

Default NELM is 60. If the SCF is converging but slowly:

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "NELM": 200 }
})
Fix 4: Correct ISMEAR for your system type
System typeISMEARSIGMA
Metal1 (Methfessel-Paxton)0.2
Semiconductor/insulator0 (Gaussian)0.05
Molecule in box0 (Gaussian)0.01
DOS calculation-5 (tetrahedron)N/A

Using ISMEAR=-5 (tetrahedron) for metals with few k-points causes convergence failures. Using ISMEAR=1 for insulators can cause incorrect occupations.

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "ISMEAR": 0, "SIGMA": 0.05 }
})
Fix 5: Start from a converged WAVECAR

If a similar calculation has converged, use its WAVECAR as starting point. This is handled automatically by CatGo's workflow engine when chaining tasks.

ORCA SCF Fixes

Add keywords to orca_extra_keywords:

ProblemFix keywordDescription
Slow convergenceSlowConvDampened SCF
Very slowVerySlowConvMore conservative
OscillatingSOSCFSecond-order SCF
Near-degenerateSmearTemp 5000Fermi smearing
Level shiftingShift 0.3Shift virtual orbitals up
catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "orca_extra_keywords": "SlowConv SOSCF" }
})

Ionic (Geometry) Convergence

Symptoms

  • NSW reached without forces dropping below EDIFFG
  • Total energy oscillates between ionic steps
  • Atoms move back and forth between two configurations

Fix 1: Adjust force convergence (EDIFFG)

VASP default EDIFFG=-0.05 eV/A is reasonable. If too tight:

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "EDIFFG": -0.03 }
})

Negative EDIFFG = force criterion (recommended). Positive = energy criterion.

Fix 2: Increase maximum ionic steps (NSW)

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "NSW": 300 }
})

Fix 3: Change ionic optimizer (IBRION)

IBRIONMethodBest for
1Quasi-Newton (RMM-DIIS)Near-minimum structures
2Conjugate gradientFar from minimum (default)
3Damped MDVery distorted structures

If CG (IBRION=2) oscillates, switch to quasi-Newton:

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "IBRION": 1 }
})

Fix 4: Reduce step size (POTIM)

If atoms jump too far each step:

catgo_workflow_engine(action: "modify_params", params: {
  workflow_id: "<wf_id>",
  task_id: "<task_id>",
  params: { "POTIM": 0.1 }
})

Default POTIM is 0.5 for IBRION=1/2.

Common Mistakes

  • Fixing ionic convergence when the real problem is SCF (always check SCF first)
  • Using tetrahedron smearing (ISMEAR=-5) for relaxation (only for static calcs)
  • Setting EDIFFG too tight for the basis set quality
  • Not checking if the structure is physically reasonable before tweaking params

Signals

GitHub stars
196
Forks
23
Last commit
Sep 2026

Others that do the same job

Advanced
Catalog kind
skill
Gateway key
convergence-issues
Source
github.com/hello-qm/catgo-lrg