Jamming criticality revealed by removing localized buckling excitations.

By Patrick Charbonneau, E. Corwin, Giorgio Parisi, Francesco Zamponi. 2014

123 citations recorded by the source corpus.

Recent theoretical advances offer an exact, first-principles theory of jamming criticality in infinite dimension as well as universal scaling relations between critical exponents in all dimensions. For packings of frictionless spheres near the jamming transition, these advances predict that nontrivial power-law exponents characterize the critical distribution of (i) small interparticle gaps and (ii) weak contact forces, both of which are crucial for mechanical stability. The scaling of the interparticle gaps is known to be constant in all spatial dimensions d-including the physically relevant d=2 and 3, but the value of the weak force exponent remains the object of debate and confusion. Here, we resolve this ambiguity by numerical simulations. We construct isostatic jammed packings with extremely high accuracy, and introduce a simple criterion to separate the contribution of particles that give rise to localized buckling excitations, i.e., bucklers, from the others. This analysis reveals the remarkable dimensional robustness of mean-field marginality and its associated criticality.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry, AI for Physical Sciences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

  1. Pierfrancesco Urbani
  2. Silvio Franz
  3. Giorgio Parisi
  4. Francesco Zamponi
  5. Hernán A. Makse
  6. Flaviano Morone
  7. Hans Jürgen Herrmann
  8. Adrian Baule

In Biomedical Engineering

  1. Silvio Franz
  2. Pierfrancesco Urbani
  3. Giorgio Parisi
  4. Hans Jürgen Herrmann
  5. Hernán A. Makse
  6. Adrian Baule
  7. Flaviano Morone
  8. Francesco Zamponi

In Materials Chemistry

  1. Pierfrancesco Urbani
  2. Giorgio Parisi
  3. Francesco Zamponi
  4. Silvio Franz
  5. Stefano Spigler
  6. Hans Jürgen Herrmann
  7. Adrian Baule
  8. Flaviano Morone

In AI for Physical Sciences

  1. Pierfrancesco Urbani
  2. Francesco Zamponi
  3. Giorgio Parisi
  4. Silvio Franz
  5. Matthieu Wyart
  6. Stefano Spigler
  7. Mario Geiger
  8. Hans Jürgen Herrmann

Citations in the corpus