"Assessment of Embedding Schemes in a Hybrid Machine Learning/Classical ..."

Juan S. Grassano et al. (2024)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.4C00478

access: closed

type: Journal Article

metadata version: 2024-06-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/GrassanoPRLES24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/GrassanoPRLES24
Juan S. Grassano, Ignacio Pickering, Adrian E. Roitberg, Mariano C. González Lebrero, Dario A. Estrin, Jonathan Alexis Semelak:
Assessment of Embedding Schemes in a Hybrid Machine Learning/Classical Potentials (ML/MM) Approach. J. Chem. Inf. Model. 64(10): 4047-4058 (2024)

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.