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npj-computational-materials

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Use when targeting npj Computational Materials (npj Comput. Mater.) or deciding whether a computational or data-driven materials manuscript fits this open-access Springer Nature venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

When to use

• targeting npj Computational Materials
• deciding if a computational materials manuscript fits the venue
• choosing between npj Computational Materials, Nature Materials, or Advanced Materials
• assessing fit for DFT, MD, machine learning, or high-throughput screening studies
• evaluating methodological and workflow advances in computational materials science
• checking rigor, reproducibility, and FAIR-data requirements
• reviewing desk-reject criteria before submission

When not to use

• routine single-system calculations without broader insight
• method applications without a clear advance
• replacing the journal's current official submission guidelines

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