Surface-informed active learning prediction of thermophysical properties for liquid refractory multicomponent alloy

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644 OPR_R - TMPB UNL RD D ; TMPB = popped SS; read ES

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"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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