npj-computational-materials
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.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill npj-computational-materials --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# npj Computational Materials (npj-computational-materials) ## Journal positioning npj Computational Materials is an open-access Springer Nature journal (part of the Nature Partner Journals series) dedicated to computational and data-driven materials science. Its defining character is rigorous computation that delivers materials insight or discovery: first-principles and electronic-structure methods (DFT and beyond), molecular dynamics, multiscale modeling, machine learning and materials informatics, high-throughput screening, and the data infrastructure that supports them. The journal rewards work where the computational approach yields a generalizable conclusion, a predictive capability, or a discovery of broad materials interest — not routine single-system calculations or method applications without a clear advance. It values methodological rigor, reproducibility, and FAIR data practices, and increasingly experimental validation or testable predictions strengthen a submission. Readership spans computational materials scientists, condensed-matter physicists, materials chemists, and the growing materials-ML and informatics community. This skill is a **fit / venue-selection / re-fr
- Journal positioning
- When to trigger
- Scope & topic fit
- Method & evidence bar
- Structure & house style
- Official-submission checklist
- Pre-submission self-check
- Common desk-reject triggers
- Re-routing decision
- Output format
What does the npj-computational-materials skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill npj-computational-materials --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.