{"user_id":"100167","author":[{"first_name":"R.","last_name":"Chahal","full_name":"Chahal, R."},{"first_name":"S.","full_name":"Roy, S.","last_name":"Roy"},{"first_name":"Martin","id":"100167","full_name":"Brehm, Martin","last_name":"Brehm"},{"first_name":"S.","full_name":"Banerjee, S.","last_name":"Banerjee"},{"full_name":"Bryantsev, V.","last_name":"Bryantsev","first_name":"V."},{"last_name":"Lam","full_name":"Lam, S.","first_name":"S."}],"year":"2022","doi":"10.1021/jacsau.2c00526","date_created":"2023-05-16T20:22:05Z","status":"public","_id":"45010","department":[{"_id":"803"}],"type":"journal_article","volume":"2 (12)","citation":{"short":"R. Chahal, S. Roy, M. Brehm, S. Banerjee, V. Bryantsev, S. Lam, JACS Au 2 (12) (2022) 2693–2702.","ama":"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. <i>JACS Au</i>. 2022;2 (12):2693-2702. doi:<a href=\"https://doi.org/10.1021/jacsau.2c00526\">10.1021/jacsau.2c00526</a>","ieee":"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,” <i>JACS Au</i>, vol. 2 (12), pp. 2693–2702, 2022, doi: <a href=\"https://doi.org/10.1021/jacsau.2c00526\">10.1021/jacsau.2c00526</a>.","bibtex":"@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={<a href=\"https://doi.org/10.1021/jacsau.2c00526\">10.1021/jacsau.2c00526</a>}, 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} }","chicago":"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.” <i>JACS Au</i> 2 (12) (2022): 2693–2702. <a href=\"https://doi.org/10.1021/jacsau.2c00526\">https://doi.org/10.1021/jacsau.2c00526</a>.","mla":"Chahal, R., et al. “Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt.” <i>JACS Au</i>, vol. 2 (12), 2022, pp. 2693–702, doi:<a href=\"https://doi.org/10.1021/jacsau.2c00526\">10.1021/jacsau.2c00526</a>.","apa":"Chahal, R., Roy, S., Brehm, M., Banerjee, S., Bryantsev, V., &#38; Lam, S. (2022). Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt. <i>JACS Au</i>, <i>2 (12)</i>, 2693–2702. <a href=\"https://doi.org/10.1021/jacsau.2c00526\">https://doi.org/10.1021/jacsau.2c00526</a>"},"date_updated":"2023-05-16T20:48:09Z","language":[{"iso":"eng"}],"page":"2693-2702","extern":"1","publication":"JACS Au","title":"Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF–NaF–ZrF4 Molten Salt"}