Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt
R. Chahal, S. Roy, M. Brehm, S. Banerjee, V. Bryantsev, S. Lam, JACS Au 2 (12) (2022) 2693–2702.
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Journal Article
| English
Author
Chahal, R.;
Roy, S.;
Brehm, MartinLibreCat;
Banerjee, S.;
Bryantsev, V.;
Lam, S.
Publishing Year
Journal Title
JACS Au
Volume
2 (12)
Page
2693-2702
LibreCat-ID
Cite this
Chahal R, Roy S, Brehm M, Banerjee S, Bryantsev V, Lam S. Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt. JACS Au. 2022;2 (12):2693-2702. doi:10.1021/jacsau.2c00526
Chahal, R., Roy, S., Brehm, M., Banerjee, S., Bryantsev, V., & Lam, S. (2022). Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt. JACS Au, 2 (12), 2693–2702. https://doi.org/10.1021/jacsau.2c00526
@article{Chahal_Roy_Brehm_Banerjee_Bryantsev_Lam_2022, title={Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt}, volume={2 (12)}, DOI={10.1021/jacsau.2c00526}, journal={JACS Au}, author={Chahal, R. and Roy, S. and Brehm, Martin and Banerjee, S. and Bryantsev, V. and Lam, S.}, year={2022}, pages={2693–2702} }
Chahal, R., S. Roy, Martin Brehm, S. Banerjee, V. Bryantsev, and S. Lam. “Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt.” JACS Au 2 (12) (2022): 2693–2702. https://doi.org/10.1021/jacsau.2c00526.
R. Chahal, S. Roy, M. Brehm, S. Banerjee, V. Bryantsev, and S. Lam, “Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt,” JACS Au, vol. 2 (12), pp. 2693–2702, 2022, doi: 10.1021/jacsau.2c00526.
Chahal, R., et al. “Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt.” JACS Au, vol. 2 (12), 2022, pp. 2693–702, doi:10.1021/jacsau.2c00526.
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