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Inferring interaction potentials from stochastic particle trajectories
Ella M. King, Megan C. Engel, Caroline Martin +5
Accurate interaction potentials between microscopic components such as colloidal particles or cells are crucial to understanding a range of processes, including colloidal crystalli…
Programmable patchy particles for materials design
Ella M. King, Chrisy Xiyu Du, Qian-Ze Zhu +2
Direct design of complex functional materials would revolutionize technologies ranging from printable organs to novel clean energy devices. However, even incremental steps towards…
Unifying framework for strong and fragile liquids via machine learning: a study of liquid silica
Ekin D. Cubuk, Andrea J. Liu, Efthimios Kaxiras +1
The fragility of a glassforming liquid characterizes how rapidly its relaxation dynamics slow down with cooling. The viscosity of strong liquids follows an Arrhenius law with a tem…
Disconnecting structure and dynamics in glassy thin films
Daniel M. Sussman, Samuel S. Schoenholz, Ekin D. Cubuk +1
Nanometrically thin glassy films depart strikingly from the behavior of their bulk counterparts. We investigate whether the dynamical differences between bulk and thin film glasses…
The Relationship Between Local Structure and Relaxation in Out-of-Equilibrium Glassy Systems
Samuel S. Schoenholz, Ekin D. Cubuk, Efthimios Kaxiras +1
The dynamical glass transition is typically taken to be the temperature at which a glassy liquid is no longer able to equilibrate on experimental timescales. Consequently, the phys…
A structural approach to relaxation in glassy liquids
Samuel S. Schoenholz, Ekin D. Cubuk, Daniel M. Sussman +2
When a liquid freezes, a change in the local atomic structure marks the transition to the crystal. When a liquid is cooled to form a glass, however, no noticeable structural change…
Strain fluctuations and elastic moduli in disordered solids
Daniel M. Sussman, Samuel S. Schoenholz, Ye Xu +3
Recently there has been a surge in interest in using video-microscopy techniques to infer the local mechanical properties of disordered solids. One common approach is to minimize t…
Identifying structural flow defects in disordered solids using machine learning methods
Ekin D. Cubuk, Samuel S. Schoenholz, Jennifer M. Rieser +5
We use machine learning methods on local structure to identify flow defects - or regions susceptible to rearrangement - in jammed and glassy systems. We apply this method successfu…
Understanding plastic deformation in thermal glasses from single-soft-spot dynamics
Samuel S. Schoenholz, Andrea J. Liu, Robert A. Riggleman +1
By considering the low-frequency vibrational modes of amorphous solids, Manning and Liu [Phys. Rev. Lett. 107, 108302 (2011)] showed that a population of "soft spots" can be identi…
Predicting plasticity with soft vibrational modes: from dislocations to glasses
Joerg Rottler, Samuel S. Schoenholz, Andrea J. Liu
We show that quasi localized low-frequency modes in the vibrational spectrum can be used to construct soft spots, or regions vulnerable to rearrangement, which serve as a universal…
Phonon Dispersion and Elastic Moduli of Two-Dimensional Disordered Colloidal Packings of Soft Particles with Frictional Interactions
Tim Still, Carl P. Goodrich, Ke Chen +4
Particle tracking and displacement covariance matrix techniques are employed to investigate the phonon dispersion relations of two-dimensional colloidal glasses composed of soft, t…
Stability of jammed packings II: the transverse length scale
Samuel S. Schoenholz, Carl P. Goodrich, Oleg Kogan +2
As a function of packing fraction at zero temperature and applied stress, an amorphous packing of spheres exhibits a jamming transition where the system is sensitive to boundary co…
Phonons in two-dimensional soft colloidal crystals
Ke Chen, Tim Still, Samuel Schoenholz +5
The vibrational modes of pristine and polycrystalline monolayer colloidal crystals composed of thermosensitive microgel particles are measured using video microscopy and covariance…