activity
20172025
most citedSkew parallelogram nets and universal factorization

3 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

math.DG2025

Bonnet pairs, isothermic surfaces and the retraction form

F. E. Burstall, T. Hoffmann, F. Pedit +1

We give a modern account of the classical theory of Bianchi \cite{Bia03} (see also \cite{KamPedPin98}) relating isothermic surfaces to Bonnet pairs. The main novelty is to identify…

math.DG2024★ 3 cited

Skew parallelogram nets and universal factorization

Tim Hoffmann, Andrew O. Sageman-Furnas, Jannik Steinmeier

We obtain many objects of discrete differential geometry as reductions of skew parallelogram nets, a system of lattice equations that may be formulated for any unit associative alg…

math.DG2023★ 1 cited

Isothermic tori with one family of planar curvature lines and area constrained hyperbolic elastica

Alexander I. Bobenko, Tim Hoffmann, Andrew O. Sageman-Furnas

In 1883, Darboux gave a local classification of isothermic surfaces with one family of planar curvature lines using complex analytic methods. His choice of real reduction cannot co…

math.DG2021

Compact Bonnet Pairs: isometric tori with the same curvatures

Alexander I. Bobenko, Tim Hoffmann, Andrew O. Sageman-Furnas

We explicitly construct a pair of immersed tori in three dimensional Euclidean space that are related by a mean curvature preserving isometry. These Bonnet pair tori are the first…

cond-mat.soft2017

Topology determines force distributions in one-dimensional random spring networks

Knut M. Heidemann, Andrew O. Sageman-Furnas, Abhinav Sharma +3

Networks of elastic fibers are ubiquitous in biological systems and often provide mechanical stability to cells and tissues. Fiber reinforced materials are also common in technolog…

cond-mat.soft2017

Topology counts: force distributions in circular spring networks

Knut M. Heidemann, Andrew O. Sageman-Furnas, Abhinav Sharma +3

Filamentous polymer networks govern the mechanical properties of many biological materials. Force distributions within these networks are typically highly inhomogeneous and, althou…