ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.06310
  4. Cited By
Deep learning extraction of band structure parameters from density of
  states: a case study on trilayer graphene
v1v2 (latest)

Deep learning extraction of band structure parameters from density of states: a case study on trilayer graphene

Physical review B (PRB), 2022
12 October 2022
Paul Henderson
A. Ghazaryan
A. Zibrov
A. Young
Maksym Serbyn
ArXiv (abs)PDFHTML

Papers citing "Deep learning extraction of band structure parameters from density of states: a case study on trilayer graphene"

2 / 2 papers shown
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Wei Shan Lee
I Hang Kwok
Kam Ian Leong
Chi Kiu Althina Chau
Kei Chon Sio
AI4CE
108
0
0
14 Aug 2025
Invariant multiscale neural networks for data-scarce scientific
  applications
Invariant multiscale neural networks for data-scarce scientific applications
I. Schurov
D. Alforov
M. Katsnelson
A. Bagrov
A. Itin
AI4CE
308
0
0
12 Jun 2024
1
Page 1 of 1