Resolving Structural Avalanches in Amorphous Carbon with Arclength Continuation
By employing a pseudo-arclength numerical continuation framework on machine-learned models of amorphous carbon, the authors demonstrate that structural avalanches can be decomposed into individual shear transformations and resolved through their underlying energy landscape, revealing a latent structure prior to onset and providing an event-driven method for studying avalanche dynamics.