"A Scalable Molecular Force Field Parameterization Method Based on Density ..."

Raimondas Galvelis et al. (2019)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.9B00439

access: closed

type: Journal Article

metadata version: 2021-09-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/GalvelisDDHF19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/GalvelisDDHF19
Raimondas Galvelis, Stefan Doerr, João M. Damas, Matt J. Harvey, Gianni De Fabritiis:
A Scalable Molecular Force Field Parameterization Method Based on Density Functional Theory and Quantum-Level Machine Learning. J. Chem. Inf. Model. 59(8): 3485-3493 (2019)

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.