Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nicholas W Landry"'
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-20 (2024)
Abstract Higher-order networks are widely used to describe complex systems in which interactions can involve more than two entities at once. In this paper, we focus on inclusion within higher-order networks, referring to situations where specific ent
Externí odkaz:
https://doaj.org/article/d95367465310442b94d059b32413d9d7
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 1, p 015006 (2024)
Many complex systems often contain interactions between more than two nodes, known as higher-order interactions , which can change the structure of these systems in significant ways. Researchers often assume that all interactions paint a consistent p
Externí odkaz:
https://doaj.org/article/a8dd8c1064754f5e9899062615510f1d
Autor:
Nicholas W Landry, Jimi Adams
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279345 (2023)
Many network contagion processes are inherently multiplex in nature, yet are often reduced to processes on uniplex networks in analytic practice. We therefore examine how data modeling choices can affect the predictions of contagion processes. We dem
Externí odkaz:
https://doaj.org/article/ea0acf01f74b4e968451f3b17ecc7789
Autor:
Nicholas W. Landry, Marko Knezevic
Publikováno v:
Materials, Vol 8, Iss 9, Pp 6326-6345 (2015)
Property closures are envelopes representing the complete set of theoretically feasible macroscopic property combinations for a given material system. In this paper, we present a computational procedure based on fast Fourier transforms (FFTs) to deli
Externí odkaz:
https://doaj.org/article/8df40399e09247d1a4b8e39da85017ce
Autor:
Nicholas W. Landry, Maxime Lucas, Iacopo Iacopini, Giovanni Petri, Alice Schwarze, Alice Patania, Leo Torres
Publikováno v:
Journal of Open Source Software. 8:5162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df1b9a6c89f98aa26f6bc79cfc4e36c
https://doi.org/10.21105/joss.05162
https://doi.org/10.21105/joss.05162
Autor:
Nicholas W. Landry
Publikováno v:
Physical Review E. 104
In contrast to the common assumption in epidemic models that the rate of infection between individuals is constant, in reality, an individual's viral load determines their infectiousness. We compare the average and individual reproductive numbers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811a91162e148582f756e334a6f0abb2
https://doi.org/10.1103/physreve.104.064302
https://doi.org/10.1103/physreve.104.064302
Autor:
Marko Knezevic, Nicholas W. Landry
Publikováno v:
Materials, Vol 8, Iss 9, Pp 6326-6345 (2015)
Materials; Volume 8; Issue 9; Pages: 6326-6345
Materials
Volume 8
Issue 9
Pages 6326-6345
Materials; Volume 8; Issue 9; Pages: 6326-6345
Materials
Volume 8
Issue 9
Pages 6326-6345
Property closures are envelopes representing the complete set of theoretically feasible macroscopic property combinations for a given material system. In this paper, we present a computational procedure based on fast Fourier transforms (FFTs) to deli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18bc14c900f71955f7f5391ddaadba4a
http://www.mdpi.com/1996-1944/8/9/5303
http://www.mdpi.com/1996-1944/8/9/5303
Procedures for reducing large datasets of crystal orientations using generalized spherical harmonics
Autor:
Nicholas W. Landry, Marko Knezevic
Publikováno v:
Mechanics of Materials. 88:73-86
We present a rigorous methodology for the compaction of crystallographic texture data associated with a given material volume and show that a statistical orientation distribution function (ODF) containing any number of orientations can be compacted t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863a3d91fc1c3f2394c726746b7922c5
https://doi.org/10.1016/j.mechmat.2015.04.014
https://doi.org/10.1016/j.mechmat.2015.04.014
Publikováno v:
Volume 2: Processing.
Performing microstructure sensitive metal-forming simulations is widely recognized as a computational challenge because of the need to store large sets of state variables related to microstructure data. We present a rigorous methodology for the compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fb230552820338319762c0512bdb725
https://doi.org/10.1115/msec2014-3984
https://doi.org/10.1115/msec2014-3984
Autor:
Landry, Nicholas W.1,2,3 (AUTHOR), adams, jimi4,5 (AUTHOR) jimi.adams@ucdenver.edu
Publikováno v:
PLoS ONE. 1/20/2023, Vol. 17 Issue 1, p1-11. 11p.