Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy.

Schönbauer S, Carbone JP, Eriksson F, Libisch F, Grüneis A

Open source

DOI
10.1021/acs.jctc.6c00854
Published
2026 Jul 14
Container
Journal of chemical theory and computation
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.6c00854,
  title = {Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy.},
  author = {Schönbauer S and Carbone JP and Eriksson F and Libisch F and Grüneis A},
  year = {2026},
  journal = {Journal of chemical theory and computation},
  doi = {10.1021/acs.jctc.6c00854},
  url = {https://doi.org/10.1021/acs.jctc.6c00854}
}

RIS

TY  - JOUR
TI  - Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy.
AU  - Schönbauer S
AU  - Carbone JP
AU  - Eriksson F
AU  - Libisch F
AU  - Grüneis A
PY  - 2026
JO  - Journal of chemical theory and computation
DO  - 10.1021/acs.jctc.6c00854
UR  - https://doi.org/10.1021/acs.jctc.6c00854
ER  - 

APA

S, S., JP, C., F, E., F, L., & A, G. (2026). Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy.. Journal of chemical theory and computation. https://doi.org/10.1021/acs.jctc.6c00854

Source records