73 citations · 151 across the 7 of their papers we have counts for
7 papers
Bendability parameter for twisted ribbons to describe longitudinal wrinkling and delineate the near-threshold regime
Madelyn Leembruggen, Jovana Andrejevic, Arshad Kudrolli +1
We propose a dimensionless bendability parameter, for wrinkling of thin, twisted ribbons with thickness , width , and tensional st…
A computational model of twisted elastic ribbons
Madelyn Leembruggen, Jovana Andrejevic, Arshad Kudrolli +1
We develop an irregular lattice mass-spring-model (MSM) to simulate and study the deformation modes of a thin elastic ribbon as a function of applied end-to-end twist and tension.…
Simulation of crumpled sheets via alternating quasistatic and dynamic representations
Jovana Andrejevic, Chris H. Rycroft
In this work, we present a method for simulating the large-scale deformation and crumpling of thin, elastoplastic sheets. Motivated by the physical behavior of thin sheets during c…
A model for the fragmentation kinetics of crumpled thin sheets
Jovana Andrejevic, Lisa M. Lee, Shmuel M. Rubinstein +1
As a confined thin sheet crumples, it spontaneously segments into flat facets delimited by a network of ridges. Despite the apparent disorder of this process, statistical propertie…
Machine learning spectral indicators of topology
Nina Andrejevic, Jovana Andrejevic, B. Andrei Bernevig +7
Topological materials discovery has emerged as an important frontier in condensed matter physics. While theoretical classification frameworks have been used to identify thousands o…
A state variable for crumpled thin sheets
Omer Gottesman, Jovana Andrejevic, Chris H. Rycroft +1
Despite the apparent ease with which a sheet of paper is crumpled and tossed away, crumpling dynamics are often considered a paradigm of complexity. This complexity arises from the…
Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets
Jordan Hoffmann, Yohai Bar-Sinai, Lisa Lee +4
Machine learning has gained widespread attention as a powerful tool to identify structure in complex, high-dimensional data. However, these techniques are ostensibly inapplicable f…