"Harnessing the power of gradient-based simulations for multi-objective ..."

Kishansingh Rajput et al. (2025)

> Home

Details and statistics

DOI: 10.1088/2632-2153/ADC221

access: open

type: Journal Article

metadata version: 2025-05-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/mlst/RajputSECKRCZB25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mlst/RajputSECKRCZB25
Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch:
Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators. Mach. Learn. Sci. Technol. 6(2): 25018 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.