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PreprintCC BYChemRxiv

NEBwalk: A transparent and calculator-agnostic framework for reproducible nudged elastic band workflows with machine-learned potentials and firstprinciples calculators

5 affiliations
  1. 1Department of Chemical Engineering
  2. 2Dhaka University of Engineering & Technology (DUET
  3. 3Department of Chemical and Geological Sciences
  4. 4University of Modena and Reggio Emilia (UNIMORE
  5. 5Department of Mechanical Engineering

Abstract

The nudged elastic band (NEB) method is established, but a reproducible transition-state calculation requires more than the NEB equations. Path construction, calculator isolation, restart behaviour, convergence monitoring, provenance, failure handling, and the transfer from inexpensive potentials to first-principles checks must remain consistent throughout the workflow. We developed NEBwalk as an open-source, calculator-agnostic Python framework for NEB and climbing-image NEB (CI-NEB) calculations built around the Atomic Simulation Environment (ASE). NEBwalk v0.11.0 supports improved-tangent NEB forces, variable springs, FIRE optimisation, minimum-image-aware periodic geometry, linear, IDPP, and regularized geodesic-style interpolation, restartable runs, structured result export, fresh calculator construction for each image, MLIP-assisted image selection, DFT-labelled data export, an optional MACE fine-tuning and evaluation handoff, resumable campaign infrastructure, reproducibility bundles, and conservative Quantum ESPRESSO recovery logic. A September 2026 audit re-examined 20 historical system-calculator cases rather than treating old documentation as automatically valid: 13 were re-audited and reconfirmed from surviving output artefacts, while 7 are retained only as historical provenance and excluded from the current quantitative validation claim. Ten artefact-backed vacancy-migration cases also have DOI-traceable literature comparators for the same element, crystal structure, and migration-hop class; because the numerical settings differ, we use these only as physical-scale checks. In two matched-physical-input implementation tests, NEBwalk and ASE differ by no more than 0.04 meV in the barrier and about 0.002 Å in the converged path geometry. A MACEMP-0 H/Cu(111) calculation gives a converged fcc-to-hcp barrier of about 0.126 eV, close to published DFT values of about 0.13-0.15 eV, although the literature itself disagrees on the sign of the small fcc-hcp site splitting. NEBwalk is therefore not presented as a new NEB algorithm or as a replacement for ASE or first-principles engines. Its role is to keep path optimisation, MLIP screening, DFT validation, reproducibility, and failure-aware execution in one inspectable workflow.

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BibTeX
@misc{khandaker2026nebwalk,
  title = {{NEBwalk: A transparent and calculator-agnostic framework for reproducible nudged elastic band workflows with machine-learned potentials and firstprinciples calculators}},
  author = {Md. Rifat Khandaker and Ali Ghiami-Shomami and Mohammad Asaduzzaman Chowdhury},
  howpublished = {ChemRxiv},
  year = {2026},
  month = oct,
  doi = {10.26434/chemrxiv.15010372/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15010372/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - NEBwalk: A transparent and calculator-agnostic framework for reproducible nudged elastic band workflows with machine-learned potentials and firstprinciples calculators
AU  - Md. Rifat Khandaker
AU  - Ali Ghiami-Shomami
AU  - Mohammad Asaduzzaman Chowdhury
PY  - 2026
DA  - 2026/10/13
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15010372/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15010372/v1
AB  - The nudged elastic band (NEB) method is established, but a reproducible transition-state calculation requires more than the NEB equations. Path construction, calculator isolation, restart behaviour, convergence monitoring, provenance, failure handling, and the transfer from inexpensive potentials to first-principles checks must remain consistent throughout the workflow. We developed NEBwalk as an open-source, calculator-agnostic Python framework for NEB and climbing-image NEB (CI-NEB) calculations built around the Atomic Simulation Environment (ASE). NEBwalk v0.11.0 supports improved-tangent NEB forces, variable springs, FIRE optimisation, minimum-image-aware periodic geometry, linear, IDPP, and regularized geodesic-style interpolation, restartable runs, structured result export, fresh calculator construction for each image, MLIP-assisted image selection, DFT-labelled data export, an optional MACE fine-tuning and evaluation handoff, resumable campaign infrastructure, reproducibility bundles, and conservative Quantum ESPRESSO recovery logic. A September 2026 audit re-examined 20 historical system-calculator cases rather than treating old documentation as automatically valid: 13 were re-audited and reconfirmed from surviving output artefacts, while 7 are retained only as historical provenance and excluded from the current quantitative validation claim. Ten artefact-backed vacancy-migration cases also have DOI-traceable literature comparators for the same element, crystal structure, and migration-hop class; because the numerical settings differ, we use these only as physical-scale checks. In two matched-physical-input implementation tests, NEBwalk and ASE differ by no more than 0.04 meV in the barrier and about 0.002 Å in the converged path geometry. A MACEMP-0 H/Cu(111) calculation gives a converged fcc-to-hcp barrier of about 0.126 eV, close to published DFT values of about 0.13-0.15 eV, although the literature itself disagrees on the sign of the small fcc-hcp site splitting. NEBwalk is therefore not presented as a new NEB algorithm or as a replacement for ASE or first-principles engines. Its role is to keep path optimisation, MLIP screening, DFT validation, reproducibility, and failure-aware execution in one inspectable workflow.
ER  -