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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when responding to Advanced Materials reviewer reports and an editor's decision — major or minor revision, or a rejection with a resubmission or transfer path. Structures the response and the manuscript changes; does not perform the underlying new experiments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The editor's letter sets the terms; read it first.
| Referee asks for... | Strongest response |
|---|---|
| Proof the phase/structure is real | Add the complementary technique (SAED, EXAFS, Rietveld) they expect |
| Representative morphology | Add distributions/statistics over many particles/devices |
| Fair benchmarking | Add a matched-condition comparison table with cited SOTA references |
| Stability / durability | Add cycling/aging/operational-stability data (often to the SI) |
| Mechanism, not just correlation | Add the control or computation that isolates the mechanism |
| Reproducibility | Add batch-to-batch statistics (n, mean ± s.d.) and full recipe in SI |
| "Why not a lower-tier journal?" | Sharpen the advance framing and the broad-impact argument |
Do the experiment when the objection is fair. A rebuttal that argues around missing data rarely survives a second round.
advmat-length-management, advmat-submission): new figures may push you over the page budget or break cross-references.【Decision type】minor / major / reject-resubmit / reject → (appeal? transfer?)
【Per-point responses】R1.1 change+location+evidence / R1.2 ... / R2.1 ...
【New data added】characterization / benchmarking / stability / mechanism — list
【Disagreements】point — data-backed rationale
【Markup + clean versions】ready? yes / fix
【Length & cross-refs re-audited】yes / fix
【Next】advmat-submission (re-preflight) or transfer to sibling journal
Revision formats, appeal routes, and transfer options are set by Wiley and evolve — verify current options on the official Advanced Materials author page and in the editor's letter.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.