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Nicholas Sharp
Researcher at Carnegie Mellon University
Publications - 21
Citations - 461
Nicholas Sharp is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer science & Polygon mesh. The author has an hindex of 9, co-authored 14 publications receiving 237 citations. Previous affiliations of Nicholas Sharp include Virginia Tech.
Papers
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Journal ArticleDOI
Pathways on demand: automated reconstruction of human signaling networks
Anna Ritz,Christopher L. Poirel,Allison N. Tegge,Nicholas Sharp,Nicholas Sharp,Kelsey Simmons,Allison Powell,Shiv D. Kale,T. M. Murali +8 more
TL;DR: PATHLINKER may serve as a promising approach for prioritizing proteins and interactions for experimental study, as illustrated by its discovery of a novel pathway in Wnt/β-catenin signaling.
Journal ArticleDOI
A Laplacian for Nonmanifold Triangle Meshes
Nicholas Sharp,Keenan Crane +1 more
TL;DR: This work describes a discrete Laplacian suitable for any triangle mesh, including those that are nonmanifold or nonorientable (with or without boundary), and is a robust drop‐in replacement for the usual cotan matrix.
Journal ArticleDOI
The Vector Heat Method
TL;DR: In this article, the authors describe a method for efficiently computing parallel transport of tangent vectors on curved surfaces, or more generally, any vector-valued data on a curved manifold.
Journal ArticleDOI
Navigating intrinsic triangulations
TL;DR: A data structure that makes it easy to run a large class of algorithms from computational geometry and scientific computing on extremely poor-quality surface meshes by considering intrinsic triangulations which connect vertices by straight paths along the exact geometry of the input mesh.
Posted Content
The Vector Heat Method.
TL;DR: The numerical behavior of the method is studied, showing empirically that it converges under refinement, and the construction of intrinsic Delaunay triangulations are augmented so that they can be used in the context of tangent vector field processing.