Machine Learning Predictions of Experimental Mössbauer Properties of Fe-Containing Molecular Complexes and Protein Models.
- DOI
- 10.1021/acs.jcim.6c02183
- Published
- 2026 Nov 9
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c02183,
title = {Machine Learning Predictions of Experimental Mössbauer Properties of Fe-Containing Molecular Complexes and Protein Models.},
author = {Skoulidas I and Tavasolikejani S and Morgan D and Chu JM and Zhang Y},
year = {2026},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.6c02183},
url = {https://doi.org/10.1021/acs.jcim.6c02183}
}RIS
TY - JOUR TI - Machine Learning Predictions of Experimental Mössbauer Properties of Fe-Containing Molecular Complexes and Protein Models. AU - Skoulidas I AU - Tavasolikejani S AU - Morgan D AU - Chu JM AU - Zhang Y PY - 2026 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.6c02183 UR - https://doi.org/10.1021/acs.jcim.6c02183 ER -
APA
I, S., S, T., D, M., JM, C., & Y, Z. (2026). Machine Learning Predictions of Experimental Mössbauer Properties of Fe-Containing Molecular Complexes and Protein Models.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c02183
Source records
- pubmed · retrieved 2026-11-10T11:48:08.043Z