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Production readiness: 10-item checklist complete
- Add exact scope statement to README, LIMITATIONS, VALIDATION, RELEASE_NOTES, NVIDIA_ENGINEERING_BRIEF - Create docs/ACCURACY.md with error metrics and benchmark corpus - Create docs/SAFE_USE.md with safe/caution/not-for tables - Create docs/INSTALL_VERIFY.md with install, verify, smoke test - Create docs/EXTERNAL_VALIDATION.md framework - Create docs/REPRODUCIBILITY.md with seed/tolerance/gold policy - Create docs/SUPPORT_POLICY.md and docs/SEMVER.md - Create docs/benchmark_protocol.md with suite classification - Create docs/CASE_STUDY_SOC.md (47% throughput reallocation) - Create docs/CASE_STUDY_PARADIGM.md (SiC 232%, diamond 1387%) - Add 20-case production benchmark suite with release gates - Freeze gold outputs for regression detection - Add scripts/release_check.py, freeze_gold_outputs.py, gather_accuracy_metrics.py - Add --smoke flag to run_all_validations.py - Add production suite + gold verify + release check to CI - Add issue templates: validation_discrepancy, model_question - Update README documentation table with all new docs - Delete stale RELEASE_NOTES_v0.1.0.md - Create reports/release_v1.0.0_benchmark_report.md All release gates pass. 20/20 production cases valid. Gold outputs verified.
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---
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name: Model Question
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about: Ask whether a specific use case is in scope or how to interpret results
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title: "[Model] "
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labels: question
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assignees: ''
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---
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**What are you trying to do?**
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Describe your engineering question or analysis goal.
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**What Aethermor features are you using?**
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Which modules, classes, or functions are involved?
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**What's unclear?**
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What part of the behavior or output is confusing or unexpected?
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**Have you checked the documentation?**
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- [ ] [docs/SAFE_USE.md](docs/SAFE_USE.md) — Is your use case listed?
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- [ ] [docs/ACCURACY.md](docs/ACCURACY.md) — Are the error metrics relevant?
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- [ ] [LIMITATIONS.md](LIMITATIONS.md) — Is your scenario within scope?
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**Environment**
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- Aethermor version:
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- Python version:
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---
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name: Validation Discrepancy
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about: Report a case where Aethermor's output doesn't match your expected or measured value
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title: "[Validation] "
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labels: validation
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assignees: ''
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---
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**What did you benchmark?**
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Describe the chip, material, cooling configuration, or analytical case.
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**Expected value and source**
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What value did you expect, and where did it come from? (datasheet, measurement, textbook, other tool)
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**Aethermor value**
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What did Aethermor produce?
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**Script or code to reproduce**
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```python
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# Paste the code or command that produces the discrepancy
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```
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**Error magnitude**
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- Expected:
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- Got:
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- Delta:
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- Percent error:
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**Environment**
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- Aethermor version:
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- Python version:
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- OS:
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**Additional context**
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Any relevant details about your setup, assumptions, or interpretation.

.github/workflows/ci.yml

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- name: Run case study - mobile SoC
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run: python benchmarks/case_study_mobile_soc.py
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- name: Run production benchmark suite (20 cases, release gates)
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run: python benchmarks/production_suite/run_production_suite.py
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- name: Verify gold outputs (regression check)
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run: python scripts/freeze_gold_outputs.py --verify-only
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- name: Run release readiness check
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run: python scripts/release_check.py
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security:
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runs-on: ubuntu-latest
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timeout-minutes: 20

LIMITATIONS.md

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# Scope and Model Architecture
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Aethermor is a **production thermal engineering toolkit** for chip thermal
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analysis, cooling tradeoffs, and compute-density optimization. This document
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describes what the project provides, the physics it models, and its
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analysis, cooling tradeoffs, and compute-density optimization.
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> **Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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This document describes what the project provides, the physics it models, and its
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validation coverage.
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---

NVIDIA_ENGINEERING_BRIEF.md

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design space *before* committing to a detailed simulation — so your ANSYS runs
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confirm rather than surprise.
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> **Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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**Note:** HotSpot (open-source, UVA) also provides fast thermal simulation with
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compact-model accuracy. Its HotFloorplan module supports layout-level
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optimization. Where Aethermor adds value is in substrate-aware inverse design

README.md

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Handbook, ITRS/IRDS roadmaps, published specifications for real chips
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(NVIDIA A100, Apple M1, AMD EPYC, Intel i9-13900K), and published hardware
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measurements (JEDEC θ_jc thermal resistance, IR thermal imaging, HotSpot
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benchmarks). Aethermor is **production-ready** for architecture-stage
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thermal engineering — design-space exploration, material comparison,
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cooling-strategy tradeoffs, and compute-density optimization.
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benchmarks). **Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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See [LIMITATIONS.md](LIMITATIONS.md) for scope and validation status.
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- Published JEDEC-standard thermal resistance measurements and IR thermal imaging data
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- HotSpot simulation benchmarks
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Aethermor is **production-ready** for architecture-stage thermal engineering:
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design-space exploration, material comparison, cooling-strategy tradeoffs.
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**Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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Detailed die-level correlation with proprietary floorplan data is a
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planned next step.
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| Document | What It Covers |
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|----------|---------------|
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| [docs/CASE_STUDY.md](docs/CASE_STUDY.md) | Decision-changing case study: cooling vs substrate vs redistribution |
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| [docs/CASE_STUDY.md](docs/CASE_STUDY.md) | Case study: cooling vs substrate vs redistribution |
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| [docs/CASE_STUDY_SOC.md](docs/CASE_STUDY_SOC.md) | Case study: SoC bottleneck reallocation (47% throughput for free) |
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| [docs/CASE_STUDY_PARADIGM.md](docs/CASE_STUDY_PARADIGM.md) | Case study: material + paradigm selection (SiC 232%, diamond 1387%) |
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| [docs/ACCURACY.md](docs/ACCURACY.md) | Error metrics, benchmark corpus, operating envelope |
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| [docs/SAFE_USE.md](docs/SAFE_USE.md) | Safe / caution / not-for use-case tables |
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| [docs/INSTALL_VERIFY.md](docs/INSTALL_VERIFY.md) | Install, verify, smoke test, troubleshooting |
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| [docs/EXTERNAL_VALIDATION.md](docs/EXTERNAL_VALIDATION.md) | External correlation and pilot user framework |
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| [docs/REPRODUCIBILITY.md](docs/REPRODUCIBILITY.md) | Seed policy, tolerance policy, gold outputs |
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| [docs/benchmark_protocol.md](docs/benchmark_protocol.md) | Benchmark suite classification and release-gate thresholds |
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| [docs/API_REFERENCE.md](docs/API_REFERENCE.md) | Complete API reference — all classes, methods, parameters |
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| [VALIDATION.md](VALIDATION.md) | Physics validation methodology & references |
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| [LIMITATIONS.md](LIMITATIONS.md) | Scope, simplifications, path to hardware validation |
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| [HONEST_REVIEW.md](HONEST_REVIEW.md) | Self-audit with grades and competitive comparison |
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| [docs/SUPPORT_POLICY.md](docs/SUPPORT_POLICY.md) | Version support, response expectations, deprecation |
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| [docs/SEMVER.md](docs/SEMVER.md) | Semantic versioning policy |
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| [CHANGELOG.md](CHANGELOG.md) | Version history |
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| [RELEASE_NOTES_v1.0.0.md](RELEASE_NOTES_v1.0.0.md) | v1.0.0 release details |
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RELEASE_NOTES_v0.1.0.md

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RELEASE_NOTES_v1.0.0.md

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## What's New in 1.0.0
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Aethermor v1.0.0 upgrades the project from Beta to **Production/Stable** for
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architecture-stage thermal engineering. The key addition is experimental
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measurement validation — closing the gap between "matches published specs" and
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"matches real hardware measurements."
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Aethermor v1.0.0 upgrades the project from Beta to **Production/Stable**.
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> **Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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The key addition is experimental measurement validation — closing the gap between
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"matches published specs" and "matches real hardware measurements."
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## Experimental Measurement Validation (18 checks)
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VALIDATION.md

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# Aethermor Validation Report
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> **Scope: Production-stable for architecture-stage thermal exploration and inverse design; not intended for sign-off, transient package verification, or transistor-level thermal closure.**
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**Verify everything:**
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```bash
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python -m validation.validate_all # 133 physics cross-checks

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