Computing the bridge length: the key ingredient in a continuous isometry classification of periodic point sets
Jonathan McManus, Vitaliy Kurlin

TL;DR
This paper introduces a practical algorithm to compute the bridge length of periodic point sets, a crucial invariant for classifying crystal structures under isometries, aiding in material design.
Contribution
The paper presents a new algorithm for efficiently calculating the bridge length of periodic point sets, enabling improved classification and inverse design of crystal structures.
Findings
Algorithm successfully tested on large crystal dataset
Enables continuous classification of periodic crystals
Facilitates inverse material design
Abstract
The fundamental model of any periodic crystal is a periodic set of points at all atomic centres. Since crystal structures are determined in a rigid form, their strongest equivalence is rigid motion (composition of translations and rotations) or isometry (also including reflections). The recent classification of periodic point sets under rigid motion used a complete invariant isoset whose size essentially depends on the bridge length, defined as the minimum `jump' that suffices to connect any points in the given set. We propose a practical algorithm to compute the bridge length of any periodic point set given by a motif of points in a periodically translated unit cell. The algorithm has been tested on a large crystal dataset and is required for an efficient continuous classification of all periodic crystals. The exact computation of the bridge length is a key step to realising the…
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.
Taxonomy
TopicsComputational Geometry and Mesh Generation · Historical Geography and Cartography
