Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.

Houser AM, Muthyala MR, Sorourifar F, Xu J, Paulson JA, Zhang S

DOI: 10.1021/acs.jpcb.6c01822
Published: 2026 May 28
Container: The journal of physical chemistry. B
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpcb.6c01822,
  title = {Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.},
  author = {Houser AM and Muthyala MR and Sorourifar F and Xu J and Paulson JA and Zhang S},
  year = {2026},
  journal = {The journal of physical chemistry. B},
  doi = {10.1021/acs.jpcb.6c01822},
  url = {https://doi.org/10.1021/acs.jpcb.6c01822}
}

RIS

TY  - JOUR
TI  - Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.
AU  - Houser AM
AU  - Muthyala MR
AU  - Sorourifar F
AU  - Xu J
AU  - Paulson JA
AU  - Zhang S
PY  - 2026
JO  - The journal of physical chemistry. B
DO  - 10.1021/acs.jpcb.6c01822
UR  - https://doi.org/10.1021/acs.jpcb.6c01822
ER  -

APA

AM, H., MR, M., F, S., J, X., JA, P., & S, Z. (2026). Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.. The journal of physical chemistry. B. https://doi.org/10.1021/acs.jpcb.6c01822

Source records

pubmed · retrieved 2026-09-25T19:02:07.707Z
europe-pmc · retrieved 2026-09-25T19:02:07.701Z