Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
νGAN: A Deep Learning Emulator for Cosmic Web Simulations with Massive Neutrinos
νGAN: A Deep Learning Emulator for Cosmic Web Simulations with Massive Neutrinos
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Kaushal, Neerav
Format:
Recurso digital
Published:
Zenodo
2025
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18026531
Similar Items
nuGAN: Generative Adversarial Emulator for Cosmic Web with Neutrinos
by: Kaushal, Neerav, et al.
Published: (2025)
MG-NECOLA: A Field-Level Emulator for $f(R)$ Gravity and Massive Neutrino Cosmologies
by: Orjuela-Quintana, J. Bayron, et al.
Published: (2026)
Signatures of Massive Neutrinos in the Cosmic Web via Persistent Homology
by: Yu, Hogyun, et al.
Published: (2026)
Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)
MG-NECOLA: Fast Neural Emulators for Modified Gravity Cosmologies
by: Orjuela-Quintana, J. Bayron, et al.
Published: (2025)