Author

Mu-Jie Lin

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#artificial intelligence Preprint Sep 2026

PhiFold: Towards Dynamic Protein Design with Physics-Structured Covariance Modeling

Protein design is moving beyond structural correctness toward function-aware design, yet existing generative models typically treat dynamics as a downstream property estimated through simulation or prediction after structure generation. Using MD trajectories as a generative target is also undesirable because stochastic...

Yu-Tian Liu, Mu-Jie Lin, Lan-Qian Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

OpenAl4S: Code as Action, Science as Sessions

AI co-scientists could accelerate computational research, but over a long-running study the workflow also has to stay inspectable, resumable and reproducible, which requires persistent computational state and provenance. Here we present OpenAI4S, an open-source scientific research agent built around the principle of \e...

Gong-Bo Zhang, Hao Li, Yu Wang et al. · 0 citations