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20212026
most citedAccelerating Material Property Prediction using Generically Complete Isometry Invariants

11 citations · 54 across the 16 of their papers we have counts for

collaborators

17 papers

math.MG2026

The strength of a geometric simplex

Olga Anosova, Vitaliy Kurlin

The basic input for many real objects is a finite cloud of unordered points. The strongest equivalence between objects in practice is rigid motion in a Euclidean space. A recent po…

math.MG2025

Continuous invariant-based asymmetries of periodic crystals quantify deviations from higher symmetry

Surya Majumder, Daniel Widdowson, Yury Elkin +4

Ideal symmetry is known to break down under almost any noise. One measure of asymmetry in a periodic crystal is the relative multiplicity Z' of geometrically non-equivalent units.…

cs.CG2024

Computing the bridge length: the key ingredient in a continuous isometry classification of periodic point sets

Jonathan McManus, Vitaliy Kurlin

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 equivalenc…

cs.CG2024★ 4 cited

Complete and bi-continuous invariant of protein backbones under rigid motion

Olga Anosova, Alexey Gorelov, William Jeffcott +2

Proteins are large biomolecules that regulate all living organisms and consist of one or several chains. The primary structure of a protein chain is a sequence of amino acid residu…

cond-mat.mtrl-sci2024★ 10 cited

The importance of definitions in crystallography

Olga Anosova, Vitaliy Kurlin, Marjorie Senechal

This paper was motivated by the articles "Same or different - that is the question" in CrystEngComm (July 2020) and "Change to the definition of a crystal" in the IUCr newsletter (…

cs.LG2024★ 11 cited

Accelerating Material Property Prediction using Generically Complete Isometry Invariants

Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin

Periodic material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement for classical simul…

cs.CV2023★ 2 cited

Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives

Daniel Widdowson, Vitaliy Kurlin

Rigid structures such as cars or any other solid objects are often represented by finite clouds of unlabeled points. The most natural equivalence on these point clouds is rigid mot…

cs.CG2023

Density functions of periodic sequences of continuous events

Olga Anosova, Vitaliy Kurlin

Periodic Geometry studies isometry invariants of periodic point sets that are also continuous under perturbations. The motivations come from periodic crystals whose structures are…

cs.CG2022★ 1 cited

Counterexamples expose gaps in the proof of time complexity for cover trees introduced in 2006

Yury Elkin, Vitaliy Kurlin

This paper is motivated by the k-nearest neighbors search: given an arbitrary metric space, and its finite subsets (a reference set R and a query set Q), design a fast algorithm to…

math.MG2022★ 3 cited

Densest plane group packings of regular polygons

Miloslav Torda, John Y. Goulermas, Vitaliy Kurlin +1

Packings of regular convex polygons (-gons) that are sufficiently dense have been studied extensively in the context of modeling physical and biological systems as well as discr…

cs.CG2022

Density functions of periodic sequences

Olga Anosova, Vitaliy Kurlin

Periodic point sets model all solid crystalline materials whose structures are determined in a rigid form and should be studied up to rigid motion or isometry preserving inter-poin…

math.MG2022★ 8 cited

Recognition of near-duplicate periodic patterns by continuous metrics with approximation guarantees

Olga Anosova, Daniel Widdowson, Vitaliy Kurlin

This paper rigorously solves the challenging problem of recognizing periodic patterns under rigid motion in Euclidean geometry. The 3-dimensional case is practically important for…

math.OC2022

Entropic trust region for densest crystallographic symmetry group packings

Miloslav Torda, John Y. Goulermas, Roland Púček +1

Molecular crystal structure prediction (CSP) seeks the most stable periodic structure given the chemical composition of a molecule and pressure-temperature conditions. Modern CSP s…

cs.CG2022

Paired compressed cover trees guarantee a near linear parametrized complexity for all -nearest neighbors search in an arbitrary metric space

Yury Elkin, Vitaliy Kurlin

This paper studies the important problem of finding all -nearest neighbors to points of a query set in another reference set within any metric space. Our previous work d…

cs.CG2021★ 5 cited

A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree

Yury Elkin, Vitaliy Kurlin

Given a reference set of points and a query set of points in a metric space, this paper studies an important problem of finding -nearest neighbors of every point…

cs.CG2021★ 6 cited

Geographic-style maps for 2-dimensional lattices

Matthew Bright, Andrew I Cooper, Vitaliy Kurlin

This paper develops geographic-style maps containing 2D lattices in all known crystals parameterised by recent complete invariants. Motivated by rigid crystal structures, lattices…

cs.CG2021★ 4 cited

Pointwise Distance Distributions for detecting near-duplicates in large materials databases

Daniel Widdowson, Vitaliy Kurlin

Many real objects are modeled as discrete sets of points, such as corners or other salient features. For our main applications in chemistry, points represent atomic centers in a mo…