Literature DB >> 31474782

The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation.

Christopher T Lee1, John B Moody2, Rommie E Amaro1, J Andrew McCammon1, Michael J Holst3.   

Abstract

We introduce CASC: a new, modern, and header-only C++ library which provides a data structure to represent arbitrary dimension abstract simplicial complexes (ASC) with user-defined classes stored directly on the simplices at each dimension. This is accomplished by using the latest C++ language features including variadic template parameters introduced in C++11 and automatic function return type deduction from C++14. Effectively CASC decouples the representation of the topology from the interactions of user data. We present the innovations and design principles of the data structure and related algorithms. This includes a metadata aware decimation algorithm which is general for collapsing simplices of any dimension. We also present an example application of this library to represent an orientable surface mesh.

Entities:  

Keywords:  Abstract Simplicial Complexes; C++ Library; Mesh Decimation; Mesh Generation; Molecular Modeling; Variadic Templates

Year:  2019        PMID: 31474782      PMCID: PMC6716611          DOI: 10.1145/3321515

Source DB:  PubMed          Journal:  ACM Trans Math Softw        ISSN: 0098-3500            Impact factor:   1.704


  3 in total

1.  3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries.

Authors:  Christopher T Lee; Justin G Laughlin; Nils Angliviel de La Beaumelle; Rommie E Amaro; J Andrew McCammon; Ravi Ramamoorthi; Michael Holst; Padmini Rangamani
Journal:  PLoS Comput Biol       Date:  2020-04-06       Impact factor: 4.475

2.  An Open-Source Mesh Generation Platform for Biophysical Modeling Using Realistic Cellular Geometries.

Authors:  Christopher T Lee; Justin G Laughlin; John B Moody; Rommie E Amaro; J Andrew McCammon; Michael Holst; Padmini Rangamani
Journal:  Biophys J       Date:  2020-01-22       Impact factor: 4.033

3.  Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations.

Authors:  Ritvik Vasan; Meagan P Rowan; Christopher T Lee; Gregory R Johnson; Padmini Rangamani; Michael Holst
Journal:  Front Phys       Date:  2020-01-21
  3 in total

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