37 citations · 42 across the 4 of their papers we have counts for
6 papers
Exploring Nucleon Structure with the Self-Organizing Maps Algorithm
Evan M. Askanazi, Katherine A. Holcomb, Simonetta Liuti
We discuss the application of an alternative type of neural network, the Self-Organizing Map to extract parton distribution functions from various hard scattering processes.
Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination
Evan Askanazi, Katherine Holcomb, Simonetta Liuti
We present and discuss a new method to extract parton distribution functions from hard scattering processes based on an alternative type of neural network, the Self-Organizing Map.…
Self-Organizing Maps Algorithm for Parton Distribution Functions Extraction
S. Liuti, K. Holcomb, E. Askanazi
We describe a new method to extract parton distribution functions from hard scattering processes based on Self-Organizing Maps. The extension to a larger, and more complex class of…
Self-Organizing Maps and Parton Distributions Functions
K. Holcomb, S. Liuti, D. Z. Perry
We present a new method to extract parton distribution functions from high energy experimental data based on a specific type of neural networks, the Self-Organizing Maps. We illust…
Self-Orgazing Maps Parametrization of Parton Distribution Functions
Daniel Z. Perry, Katherine Holcomb, Simonetta Liuti
We describe a new method to extract parton distribution functions both in the unpolarized and the polarized case, based on a type of neural networks, the Self-Organizing Maps. Init…
Diluted chirality dependence in edge rough graphene nanoribbon field-effect transistors
Frank Tseng, DIncer Unlcer, Katherine Holcomb +2
We investigate the role of various structural nonidealities on the performance of armchair-edge graphene nanoribbon field effect transistors (GNRFETs). Our results show that edge r…