Poster #199
Session 2
Research
0 visits
The use of machine learning for fast predictions of neutron skins and dipole polarizabilities of nuclei to use in Bayesian inference of neutron star properties.
Carlos Davila
Institution: East Texas A&M University
Similar Posters
Poster #145
Machine Learning Assisted Data Labeling for Dipole Allowed and Forbidden Transit...
Alexander Castillo
University of Colorado Denver
ViewPoster #279
An Application of Machine Learning Techniques to Energy Reconstruction in IceTop...
Arianna Duven
The University of Utah
ViewPoster #190
Predictive Analytics in Photonics: Machine Learning for Dielectric Property Opti...
Joshua Fulton
East Texas A&M University
ViewPoster #68
Machine Learning Applied to Control Loop Systems for Advanced LIGO
Angelina Madonna
Lycoming College
ViewPoster #92
Comparing Similarities of Machine Learning Models
Casia Steinhaus
University of North Dakota
ViewQR Code
Scan to share this poster
Presenter Status
Not Available
Status updates in real-time
Session Information
Session II: Saturday, November 1, 11:30 AM – 1:00 PM
Location: Exhibit Hall