Nature Materials Author Guidelines

Nature Materials publishes several manuscript formats, and the guidelines set explicit ceilings for each one. The Article is the primary format for substantial, broadly significant advances, and it carries the strictest expectations: a tightly limited main text, a fixed maximum number of display items (figures and tables combined), and a capped reference list, with detailed experimental information moved into an online Methods section rather than the main narrative [2]. Because the limits are counted in display items and references rather than words alone, authors who draft first and trim later routinely overshoot and must cut figures, not just prose.

The Letter format is reserved for shorter, urgent communications that report a focused result; it applies tighter limits on main text, references, and display items than an Article, and it is not simply a shortened Article — the claim must be narrow and self-contained [2]. Authors should confirm the current numeric limits on the journal's article-types page before finalizing, because Nature Portfolio periodically revises them and the published page, not a template saved from an earlier submission, is authoritative [2].

Format requirements extend beyond length. Submissions are made through the online system with editable text files and figures supplied separately at the resolution and labelling the journal specifies, and the manuscript must include the journal's required structural elements — title, author list and affiliations, abstract, main text, references, and methods — in the order given [2]. Reference style follows the journal's own citation convention rather than a generic style, and each reference must be complete enough to be verified. A cover letter and the relevant policy checklists accompany the files at submission [1].

The practical implication is that compliance is a drafting constraint, not a final polish step. Authors who choose the target format before writing — and who budget display items and references at the outline stage — avoid the most common cause of desk return: a manuscript whose science is sound but whose length and figure count fall outside the journal's published limits [1][2].

Nature Portfolio's editorial policies apply to every submission and are assessed alongside the science. They cover authorship and contributor criteria, competing interests, data availability, image integrity, and research ethics, and authors are expected to have read them before submitting rather than after an editor raises a concern [3]. Each policy typically requires an explicit statement in the manuscript or in the submission system, so silence on a policy is treated as a missing declaration rather than an implicit "not applicable."

Reporting standards are the second layer. The policies require enough methodological detail for an independent researcher to replicate the work, and certain study types must be accompanied by the specific reporting checklists the portfolio publishes [3]. For a materials-science paper this usually means complete synthesis and characterization conditions, instrument and software details, and statistical treatment of measurements — the kind of detail that is easy to compress when trimming to a length limit, and therefore easy to lose.

Data availability deserves separate attention because it is both a policy requirement and a frequent cause of delay. Nature Portfolio expects a data availability statement that tells readers where the data supporting the findings can be accessed, and for many paper types the underlying data must be deposited in a public repository [3]. Authors should confirm repository accession numbers exist at submission time, not promise them later.

Generative AI use is now governed explicitly. Authors must disclose the use of large language models or other generative AI tools in the preparation of the manuscript, typically in a dedicated statement, and AI tools cannot be credited as authors because authorship carries accountability that a tool cannot hold [3]. Language polishing with an AI assistant is generally permissible when disclosed; using AI to generate substantive scientific content or to fabricate references is not. Reviewers and editors apply the same disclosure expectations to their own reports [3].

Two pre-submission risks are worth checking deliberately rather than hoping for the best: unattributed textual overlap with published work, and AI-generated or AI-heavy prose that conflicts with the disclosure you have made. Similarity checking is the more familiar of the two. A similarity report highlights passages in your draft that match existing sources and shows where each match comes from, which lets you distinguish legitimate quotation and standard methods phrasing from genuine paraphrasing failures before an editor or reviewer sees them [4]. Reviewing matches yourself also lets you fix a citation that is missing rather than defend it later.

AI-text checking addresses the newer risk. An AI writing report returns an overall percentage plus a segment-level breakdown showing which portions of a document are flagged as likely AI-written versus human-written, so an author can locate the specific passages responsible rather than guessing [4]. This matters for Nature Materials submissions because the portfolio's disclosure policy means an undeclared AI-assisted section is a policy problem independent of whether the prose is any good [3][4]. A segment-level view lets you either rewrite the flagged passages in your own voice or, if the text genuinely was AI-assisted, make sure the disclosure statement matches reality.

Both report types are decision-support tools, not verdicts. Turnitin's own guidance is that similarity and AI results are signals intended to support human academic judgement, and that a high similarity score can reflect legitimate citation practice while a low one does not prove originality [4]. Read the reports the way an editor would: look at what is flagged and why, then act on the substance. Running a check on the final draft — after formatting, trimming, and reference cleanup — is more informative than checking an early version, because the text that reaches the journal is the text that gets screened.

A sensible sequence is to finalize the manuscript to the journal's format, run similarity and AI checks on that final file, resolve every match and flagged segment you can explain or rewrite, and only then complete the disclosure statements so they accurately describe the submitted text [1][4]. That order keeps the policy declarations consistent with the file the editor actually receives.

If you would rather see the screening picture before an editor does, turnitin0 gives you that preview: upload your formatted draft and receive a Turnitin AI detection report and a similarity report as downloadable PDFs, generated without adding your file to Turnitin's student paper database. Most orders are delivered in under 15 minutes, so a final compliance pass fits inside a normal submission window rather than pushing your deadline.

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