feat: Physics Benchmark - Tungsten-Graphene 3500K Logic Test
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Description
[Subject / Directive: Open-Source LLM Physics Benchmark - Extreme Thermal Stress Logic]
To the Core Development Team,
I am an independent synthetic data architect currently conducting edge-case stress testing on local, uncensored LLM architectures. My research focuses on extreme-environment mechanics, specifically Tungsten-Graphene interfacial thermal resistance under non-linear conditions.
To evaluate reasoning limits without hallucinations, I have structured a proprietary verification snippet:
[BENCHMARK - SNIPPET 01]
Target: Tungsten (W) - Graphene Interfacial Thermal Conductance at 3500K
Core Variable: Anharmonic decay rate at boundary interface under lattice mismatch.
Directive: Deduce non-equilibrium phonon density of states (DoS) and boundary coupling strength (alpha).
If your current local execution stack or model fine-tunes can successfully parse and resolve these boundary variables, I would like to initiate a direct data-sharing collaboration to test broader logic loops.
Awaiting your architectural feedback.
— T.S. Architect
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The issue mentions no repository files, tests, or entry points to inspect. Start by determining whether the requested physics benchmark belongs in this library and identifying a concrete API or test target; completion criteria are not defined, so the desired behavior must be clarified before implementation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100