ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.10700
  4. Cited By
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE

14 April 2025
J. Firoz
Franco Pellegrini
Mario Geiger
Darren J. Hsu
Jenna A. Bilbrey
Han-Yi Chou
Maximilian Stadler
Markus Hoehnerbach
Tingyu Wang
Dejun Lin
E. Küçükbenli
Henry W Sprueill
Ilyes Batatia
S. Xantheas
MalSoon Lee
Chris Mundy
Gábor Csányi
Justin S. Smith
Ponnuswamy Sadayappan
Sutanay Choudhury
ArXivPDFHTML

Papers citing "Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE"

Title
No papers