Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
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Use when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the Experimental Section and Supporting Information. Partitions and stress-tests methods; does not design figures or run analysis.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
An Adv. Mater. claim about a material must be triangulated by complementary techniques, not asserted from one. A single XRD pattern or one TEM image is rarely enough; referees expect the structure–composition–property picture to close from several independent angles.
A practical characterization matrix (adapt to your material class):
| Claim you are making | Do not rely on one technique — triangulate with |
|---|---|
| Crystal structure / phase | XRD (+ Rietveld) and electron diffraction (SAED) / HRTEM lattice |
| Morphology / size / architecture | SEM and TEM (+ statistics over many particles, not one hero image) |
| Composition / oxidation state | XPS and EDS/EELS mapping and ICP-MS/AES for bulk stoichiometry |
| Local bonding / defects | Raman / FTIR / XAS (XANES/EXAFS), NMR where applicable |
| Optoelectronic property | UV-vis / PL / TAS + the transport or device measurement it predicts |
| Electrochemical performance | CV + galvanostatic cycling + rate/stability data + post-mortem analysis |
State uncertainties and sample counts. "n = 3 devices, mean ± s.d." beats a single best cell.
Adv. Mater. device claims live or die on fair comparison to the state of the art. Put the comparison in the paper, on equal footing:
| Detail type | Main text / Experimental Section | Supporting Information |
|---|---|---|
| Core synthesis route + key parameters | Experimental Section (reproducible) | full optimization sweeps |
| The decisive characterization proving the claim | main-text figure | extended datasets, more samples |
| Device fabrication + measurement protocol | Experimental Section | full protocols, control devices |
| Benchmarking vs. state of the art | main text | full comparison table + refs |
| Statistics on the headline metric | main text (n, mean ± s.d.) | per-sample data, histograms |
| Instrument models / settings | Experimental Section (concise) | exhaustive parameters |
The Experimental Section must let a competent group reproduce the material. Detail that is essential-but-bulky (full recipes, calibration, secondary controls) goes to the SI and is cited inline.
resources/external_tools.md for the DFT/simulation stack).【Central material claim】...
【Triangulation】technique 1 / technique 2 / technique 3 — sufficient? yes / add: ...
【Morphology statistics】present? yes / fix
【Benchmarking vs. SOTA】in main text, fair, cited? yes / fix
【Metric statistics】n + spread stated? yes / fix
【Reproducibility】Experimental Section reproducible? yes / fix
【Next】advmat-figures (characterization figure) or advmat-supplementary (SI partition)
Data-availability, reproducibility, and characterization-reporting expectations evolve — verify current Wiley Advanced Materials policy on the official author page.
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
中文简介正在准备中。当前显示原文说明。
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
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Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
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Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
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Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
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Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
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