TL;DR
This paper introduces a scale- and rotation-invariant method to measure how much a lattice deviates from ideal Bravais symmetry by calculating the minimum strain needed for symmetrization, enabling a detailed lattice classification.
Contribution
It proposes a novel strain-based metric for Bravais lattice classification that overcomes scale-dependence issues of traditional methods, providing a more intuitive and physically meaningful analysis.
Findings
The method quantifies lattice symmetry deviation using minimum strain.
It creates a 14-dimensional map of Bravais lattice space.
Software implementation is publicly available.
Abstract
Bravais lattices are the most fundamental building blocks of crystallography. They are classified into groups according to their translational, rotational, and inversion symmetries. In computational analysis of Bravais lattices, fulfilment of symmetry conditions is usually determined by analysis of the metric tensor, using either a numerical tolerance to produce a binary (i.e. yes or no) classification, or a distance function which quantifies the deviation from an ideal lattice type. The metric tensor, though, is not scale-invariant, which complicates the choice of threshold and the interpretation of the distance function. Here, we quantify the distance of a lattice from a target Bravais class using strain. For an arbitrary lattice, we find the minimum-strain transformation needed to fulfil the symmetry conditions of a desired Bravais lattice type; the norm of the strain tensor is used…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
