activity
20072022
most citedGeometric Computational Electrodynamics with Variational Integrators and Discrete Differential Forms

62 citations · 143 across the 11 of their papers we have counts for

collaborators

11 papers

math.DG2022★ 1 cited

Combinatorial and Hodge Laplacians: Similarity and Difference

Emily Ribando-Gros, Rui Wang, Jiahui Chen +2

As key subjects in spectral geometry and combinatorial graph theory respectively, the (continuous) Hodge Laplacian and the combinatorial Laplacian share similarities in revealing t…

math.AT2020★ 3 cited

HERMES: Persistent spectral graph software

Rui Wang, Rundong Zhao, Emily Ribando-Gros +3

Persistent homology (PH) is one of the most popular tools in topological data analysis (TDA), while graph theory has had a significant impact on data science. Our earlier work intr…

math.DG2019★ 2 cited

Evolutionary de Rham-Hodge method

Jiahui Chen, Rundong Zhao, Yiying Tong +1

The de Rham-Hodge theory is a landmark of the 20 Century's mathematics and has had a great impact on mathematics, physics, computer science, and engineering. This work…

q-bio.BM2019★ 1 cited

The de Rham-Hodge analysis and modeling of biomolecules

Rundong Zhao, Menglun Wang, Yiying Tong +1

Recent years have witnessed a trend that advanced mathematical tools, such as algebraic topology, differential geometry, graph theory, and partial differential equations, have been…

q-bio.QM2018

Divide-and-Conquer Strategy for Large-Scale Eulerian Solvent Excluded Surface

Rundong Zhao, Menglun Wang, Yiying Tong +1

Motivation: Surface generation and visualization are some of the most important tasks in biomolecular modeling and computation. Eulerian solvent excluded surface (ESES) software pr…

cs.LG2018

Parallel Transport Unfolding: A Connection-based Manifold Learning Approach

Max Budninskiy, Glorian Yin, Leman Feng +2

Manifold learning offers nonlinear dimensionality reduction of high-dimensional datasets. In this paper, we bring geometry processing to bear on manifold learning by introducing a…

physics.comp-ph2015★ 33 cited

Subdivision based Isogeometric Analysis technique for Electric Field Integral Equations for Simply Connected Structures

Jie Li, Daniel Dault, Beibei Liu +2

The analysis of electromagnetic scattering has long been performed on a discrete representation of the geometry. This representation is typically continuous but {\em not} different…

q-bio.BM2014★ 13 cited

Persistent Homology for The Quantitative Prediction of Fullerene Stability

Kelin Xia, Xin Feng, Yiying Tong +1

Persistent homology is a relatively new tool often used for \emph{qualitative} analysis of intrinsic topological features in images and data originated from scientific and engineer…

math.DS2009★ 2 cited

Structure-Preserving Discretization of Incompressible Fluids

Dmitry Pavlov, Patrick Mullen, Yiying Tong +3

The geometric nature of Euler fluids has been clearly identified and extensively studied over the years, culminating with Lagrangian and Hamiltonian descriptions of fluid dynamics…

math.NA2008★ 26 cited

Variational Integrators for Maxwell's Equations with Sources

Ari Stern, Yiying Tong, Mathieu Desbrun +1

In recent years, two important techniques for geometric numerical discretization have been developed. In computational electromagnetics, spatial discretization has been improved by…

math.NA2007★ 62 cited

Geometric Computational Electrodynamics with Variational Integrators and Discrete Differential Forms

Ari Stern, Yiying Tong, Mathieu Desbrun +1

In this paper, we develop a structure-preserving discretization of the Lagrangian framework for electromagnetism, combining techniques from variational integrators and discrete dif…