Pre-Submission Review for Physics Manuscripts: What PRL, PRB, and Nature Physics Reviewers Expect
Physics manuscripts face specific scrutiny on computational reproducibility, error analysis, and whether the result provides genuine physical insight beyond the numbers.
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Works across neuroscience and cell biology, with direct expertise in preparing manuscripts for PNAS, Nature Neuroscience, Neuron, eLife, and Nature Communications.
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|---|---|
Use this page for | Building a point-by-point response that is easy for reviewers and editors to trust. |
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Decision cue: Physics publishing has a distinctive culture. Preprints on arXiv are standard. REVTeX formatting is expected at APS journals. The review process at Physical Review Letters requires a 100-word justification paragraph explaining broad significance. And physics reviewers have a specific expectation that surprises authors from other fields: they want physical insight, not just data. Showing that a material has a property is not enough. Explaining why it has that property, and what that tells us about the physics, is what gets papers published.
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What physics reviewers check first
Physical insight beyond computation or measurement
Physics editors and reviewers ask: "What did we learn about physics from this work?" A paper that computes band structures without explaining what they mean physically. A paper that measures transport properties without connecting them to underlying mechanisms. A paper that simulates a system without extracting a physical principle. These are common at field journals but will struggle at PRL, Nature Physics, or Physical Review X.
The distinction: data is what you measured or computed. Insight is what the data tells us about how nature works.
Computational reproducibility
For theoretical and computational physics papers, reviewers expect:
- software and version specified (VASP, Quantum ESPRESSO, LAMMPS, etc.)
- all computational parameters documented (basis sets, k-point meshes, energy cutoffs, convergence criteria)
- pseudopotentials or potentials identified
- system size and boundary conditions specified
- code available in a public repository where custom code was used
- benchmarking against known results where applicable
"We performed DFT calculations" without specifying the functional, basis set, and convergence criteria is not reproducible.
Error analysis and uncertainty
Physics has higher standards for uncertainty quantification than most fields:
- systematic and statistical errors distinguished and quantified separately
- error propagation documented for derived quantities
- measurement uncertainty reported for all experimental quantities
- Monte Carlo or bootstrap estimates where analytical error propagation is not straightforward
- significance of differences evaluated with proper statistical tests
Appropriate scope for the format
Physics has multiple publication tiers with clear expectations:
Format | Journal | Scope | Length |
|---|---|---|---|
Letter | Broad significance, all physics | 3,750 words | |
Regular Article | PRB, PRA, PRC, PRD, PRE | Full treatment, field-specific | No strict limit |
Rapid Communication | PRB | Time-sensitive results | ~3,500 words |
Article | Nature Physics | Highest significance | No strict limit |
Submitting a PRB-scale paper to PRL because the result "might be broadly interesting" is a common targeting mistake. If the result does not clearly matter to physicists in other subfields, PRL is the wrong target.
The physics pre-submission checklist
For experimental physics
- all measurement uncertainties quantified and reported
- systematic errors identified and addressed
- calibration procedures described
- raw data available or accessible
- equipment and techniques specified with enough detail for reproduction
- control measurements performed
For computational/theoretical physics
- all software, versions, and parameters specified
- convergence tests performed and documented
- results benchmarked against known analytical or experimental results
- approximations stated and justified
- code deposited in a public repository if custom
- computational resources described (for reproducibility context)
For all physics manuscripts
- physical insight clearly articulated (not just data or computation)
- connection to existing physics understanding established
- REVTeX formatting used for APS journals
- BibTeX run before submission (include .bbl file)
- arXiv preprint posted (standard in physics, does not affect novelty)
- figures clear with proper units, labels, and error bars
- 100-word justification paragraph prepared (for PRL submissions)
Where pre-submission review helps in physics
The Manusights free readiness scan evaluates methodology, citations, and journal fit in about 60 seconds. For physics manuscripts, citation verification catches missing references to competing theoretical predictions or experimental results.
The $29 AI Diagnostic provides journal-specific calibration, which is particularly important when choosing between PRL (broad significance required), PRB (condensed matter specific), and Nature Physics (highest impact). For manuscripts targeting PRL or Nature Physics, Manusights Expert Review connects you with physics reviewers who know those journals.
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Reference library
Use the core publishing datasets alongside this guide
This article answers one part of the publishing decision. The reference library covers the recurring questions that usually come next: how selective journals are, how long review takes, and what the submission requirements look like across journals.
Dataset / reference guide
Peer Review Timelines by Journal
Reference-grade journal timeline data that authors, labs, and writing centers can cite when discussing realistic review timing.
Dataset / benchmark
Biomedical Journal Acceptance Rates
A field-organized acceptance-rate guide that works as a neutral benchmark when authors are deciding how selective to target.
Reference table
Journal Submission Specs
A high-utility submission table covering word limits, figure caps, reference limits, and formatting expectations.
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