Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • How big is Big Data?
Cover Image

How big is Big Data?

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Speckhard, Daniel T., Bechtel, Tim, Ghiringhelli, Luca M., Kuban, Martin, Rigamonti, Santiago, Draxl, Claudia
Format: Preprint
Published: 2024
Subjects:
Machine Learning
Materials Science
Computational Physics
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://arxiv.org/abs/2405.11404

Similar Items

  • MADAS -- A Python framework for assessing similarity in materials-science data
    by: Kuban, Martin, et al.
    Published: (2024)
  • Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms
    by: Speckhard, Daniel T., et al.
    Published: (2025)
  • Cluster Expansion Toward Nonlinear Modeling and Classification
    by: Stroth, Adrian, et al.
    Published: (2025)
  • On-the-Fly Fine-Tuning of Foundational Neural Network Potentials: A Bayesian Neural Network Approach
    by: Rensmeyer, Tim, et al.
    Published: (2025)
  • Information-Theoretic Grid Topology Reconstruction using Low-Precision Smart Meter Data
    by: Speckhard, Daniel T.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar