Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

· · 来源:dev资讯

"Tuning frictional behavior on the fly has been a long-standing engineering dream," said co-author Katia Bertoldi of Harvard University. "This new insight into how surface geometry governs slip pulses paves the way for tunable frictional metamaterials that can transition from low-friction to high-grip states on demand.” In addition, the dynamics revealed by these results are similar to those of tectonic faults and thus give scientists a new model for the mechanics of earthquakes, according to their new paper published in the journal Nature.

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The platform also offers additional features, including samplers, allowing users to fine-tune the quality and detail levels of their creations. Customization options and prompt guidance further enhance the user experience, providing a user-friendly interface for both novice and experienced creators.,详情可参考Line官方版本下载

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