Neutron star crust in Voigt approximation: general symmetry of the stress-strain tensor and an universal estimate for the effective shear modulus
Andrey Chugunov (Ioffe Institute)

TL;DR
This paper derives a universal and exact estimate for the effective shear modulus of neutron star crust modeled as a Coulomb solid, revealing a symmetry in the stress-strain tensor that applies broadly to similar materials.
Contribution
It demonstrates a new symmetry in the Coulomb stress-strain tensor and provides a universal estimate for the shear modulus applicable to various Coulomb solids.
Findings
The Coulomb part of the stress-strain tensor has an additional symmetry: contraction B_{ijil}=0.
The effective shear modulus equals -2/15 of the Coulomb energy density at zero deformation.
A simple universal estimate for the shear modulus is proposed based on ion species and densities.
Abstract
I discuss elastic properties of neutron star crust in the framework of static Coulomb solid model when atomic nuclei are treated as non-vibrating point charges; electron screening is neglected. The results are also applicable for solidified white dwarf cores and other materials, which can be modeled as Coulomb solids (dusty plasma, trapped ions, etc.). I demonstrate that the Coulomb part of the stress-strain tensor has additional symmetry: contraction . It does not depend on the structure (crystalline or amorphous) and composition. I show as a result of this symmetry the effective (Voigt averaged) shear modulus of the polycrystalline or amorphous matter to be equal to of the Coulomb (Madelung) energy density at undeformed state. This result is general and exact within the model applied. Since the linear mixing rule and the ion sphere model are used, I can suggest a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
