Revisiting phonon thermal transport in penta-graphene via a machine-learning potential-driven large-scale molecular dynamics simulation

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Measured on Apple M3 16GB with simulated audio input (Tensor::randn). Times are per-encoder-forward-pass (Sortformer: full forward pass).

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This structure fit neatly into what we needed for the offlining work. A new serverless repo was created for generating the Native AOT DLL files. The repo contains a core project that depends on the pre-existing library projects allowing for code reuse. Individual platform projects were created for handling all the custom build and linking logic required for Windows as well as each supported console.

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“请分析上述代码的执行流程,输出一段标准的 Mermaid sequenceDiagram 代码。不要解释,只输出代码块。”