activity
20032023
most citedAll 2-dimensional links in 4-space live inside a universal 3-dimensional polyhedron

36 citations · 177 across the 35 of their papers we have counts for

collaborators

37 papers

cond-mat.mtrl-sci2023★ 18 cited

Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances

Daniel Schwalbe-Koda, Daniel E. Widdowson, Tuan Anh Pham +1

Zeolites are inorganic materials known for their diversity of applications, synthesis conditions, and resulting polymorphs. Although their synthesis is controlled both by inorganic…

math.MG2023★ 5 cited

Simplexwise Distance Distributions for finite spaces with metrics and measures

Vitaliy Kurlin

A finite set of unlabelled points in Euclidean space is the simplest representation of many real objects from mineral rocks to sculptures. Since most solid objects are rigid, their…

math.MG2023

Complete invariants of atomic clouds under rigid motion with Lipschitz continuous metrics in a polynomial time

Vitaliy Kurlin

A basic representation of any real molecule is a finite cloud of unordered atoms, many of which are chemically indistinguishable. A natural equivalence on point clouds in any metri…

cs.CG2022★ 9 cited

Polynomial-time algorithms for continuous metrics on atomic clouds of unordered points

Vitaliy Kurlin

The most fundamental model of a molecule is a cloud of unordered atoms, even without chemical bonds that can depend on thresholds for distances and angles. The strongest equivalenc…

cs.CG2022★ 7 cited

Exactly computable and continuous metrics on isometry classes of finite and 1-periodic sequences

Vitaliy Kurlin

The inevitable noise in real measurements motivates the problem to continuously quantify the similarity between rigid objects such as periodic time series and proteins given by ord…

cs.CG2022★ 6 cited

Generic families of finite metric spaces with identical or trivial 1-dimensional persistence

Philip Smith, Vitaliy Kurlin

Persistent homology is a popular and useful tool for analysing finite metric spaces, revealing features that can be used to distinguish sets of unlabeled points and as input into m…